Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"

Latest revision as of 11:24, 12 March 2024

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A postdoc position in NLP at the University of Tartu, Estonia

Employer: Institute of Computer Science, University of Tartu [1]
Title: Researcher in natural language processing
Speciality: Natural language processing, psychology
Location: Tartu, Estonia
Deadline: 1 April, 2024
Date posted: 12 March, 2024
Contact: Kairit Sirts (kairit.sirts@ut.ee)

‘’’Postdoc position in NLP’’’

Applications are invited for a postdoctoral fellowship with the TartuNLP lab in the Institute of Computer Science at the University of Tartu. The funding for the position is provided by the recently established Estonian Centre of Excellence in AI (EXAI), which gathers various research teams from several Estonian research institutions.

The successful candidate will work with Kairit Sirts on AI-related projects at the interface between natural language processing (mainly using large language model technology) and psychology with the goal of developing chatbots for supporting mental health. The candidate will also participate with their NLP expertise in collaborative projects with other teams that are part of the EXAI.

The suitable candidate has a PhD in natural language processing, artificial intelligence, computer science, or other relevant discipline. They should have a good research and publication track record in NLP. Interest in psychology or mental health related topics is a bonus.

More info about the job offer, application process and the requirements: [2]

All questions related to the position should be sent to Dr. Kairit Sirts (kairit.sirts@ut.ee).

Multiple PhD positions in deep learning for NLP and neuroscience at Idiap, Switzerland

Employer: Idiap Research Institute, [3]
Title: Multiple PhD student positions
Speciality: Machine Learning, Natural Language Understanding, Neuroscience
Location: Martigny, Switzerland
Deadline: 31 March, 2024
Date posted: 8 March, 2024
Contact: James Henderson (james.henderson@idiap.ch)

Multiple PhD positions

The Idiap Research Institute seeks qualified candidates for three PhD student positions in deep learning for natural language, one focussing on neuroscience and two focussing on representation learning. These researchers will work with Dr. James Henderson in the Natural Language Understanding group [4].

Idiap offers competitive salaries, a beautiful location, and a world-class AI research community. PhD students are registered at EPFL. The two researchers in representation learning for NLP will be part of a Swiss NSF project building on our recent Bayesian extension of Transformers. The researcher in deep learning and the neuroscience of language will work also in collaboration with Dr. Itsaso Olasagasti of Univ. Geneva's Fundamental Neuroscience Dept and Dr. Phil Garner of Idiap, and will benefit from visits to Campus Biotech in Geneva. This position is part of the Swiss center of excellence (NCCR) project: Evolving Language.

The ideal PhD candidates should hold a Masters degree in computer science, artificial intelligence, computational neuroscience, or related fields. She or he should have a background in machine learning, and experience in natural language processing or computational neuroscience would be a plus. The applicant should also have strong mathematical and programming skills.

Please apply on the Idiap jobs site at [5]. All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Postdoctoral Researcher in Natural Language Processing for Homeland Security - University of Central Florida

Employer: University of Central Florida
Title: Postdoctoral Researcher
Specialty: Natural Language Processing
Location: Orlando, Florida
Date posted: 01/18/2024
Application Email: adan.vela@ucf.edu (Subject: POST-DOC Election Violence)

Description

In partnership with the DHS National Counterterrorism Innovation, Technology, and Education (NCITE) Center of Excellence at UNO and collaborators at Temple University we are seeking a postdoctoral researcher on a high-exposure project related to online extremism and the transition to real-world violence.

Using NLP and Machine Learning techniques we are seeking to develop a real-time analytics system to monitor online discourse with the end-goal of estimating the threat-level faced by government officials, institutions, and other non-public persons (esp. elections officials). Related extensions of this extremism research seeks to assess the threat-risk to other targeted groups and to map the online space of violent anti-government groups and violent hate groups.

For post-doctoral candidates targeting an academic posting our team of faculty will actively support you in this endeavor through a "post-doc first" posture, while actively facilitating connections and meaningful partnerships with our CoPIs at Gatech, Nebraska, Temple, and elsewhere. Support does not just come from project PIs but the whole Industrial Engineering department at UCF - through such joint efforts we have successfully placed a number of post-docs in tenure-track faculty positions.

Accordingly, responsibilities will include leading the execution of research efforts, mentorship of students, publications/presentations, and proposal writing. Teaching opportunities are available if desired.

Qualifications

Candidates should have a background in Natural Language Processing and Machine Learning, and feel comfortable working with LLMs and developing sentiment classifiers. Strong candidates will have an understanding of US politics and extremism. As an interdisciplinary project with Criminology, in additional to computational methods, the candidate will leverage large scale annotation through MTurk/Prolific in combination with qualitative coding techniques.

Application Instructions

Interested candidates should apply by sending their CV to adan.vela@ucf.edu (Subject: POST-DOC Election Violence). Applications will be reviewed until the position is filled....ideally, well before the 2024 election!

iCASE EPSRC funded PhD - multimodal NLP - University of Manchester & BAE

Employer: University of Manchester & BAE
Title: PhD in multimodal NLP for model-based systems engineering
Specialty: Natural Language Processing, Large Language Models, Model-Based Systems Engineering
Location: Manchester, UK
Deadline: January 26, 2024
Date posted: December 20, 2023
Application Website: https://www.se.manchester.ac.uk/phds-science-engineering/

We are seeking an enthusiastic PhD candidate to work in multimodal NLP for model-based systems engineering.

Details

This project is funded by the EPSRC iCASE (sponsored by BAE Systems) to conduct research in the area of multimodal natural language processing (NLP) for model-based systems engineering based on Large Language Models (LLMs). LLMs have demonstrated a remarkable ability to generate text when presented with images, text, audio and video as input. They are able to achieve higher performance than traditional neural methods and pre-trained language models, without the need for supervised training.

The project will examine different approaches to multimodal LLM-based NLP to address complex and fine-grained tasks such as reasoning in model-based systems engineering. The PhD will delve into LLM architectures, data augmentation methods, multi-task and domain-specific LLMs, prompting engineering and interpretability.

The candidate will have the opportunity to work with experts at BAE to gain experience in the practical application of model-based systems engineering. The candidate will join the world-class teams of Prof. S. Ananiadou (Computer Science and National Centre for Text Mining, Natural Language Processing, LLMs) and Prof. H. Yin (Electrical and Electronic Engineering, Deep Learning, Computer Vision).

Requirements

You will have a very good undergraduate degree in Computer Science (minimum 2:1 UK or equivalent for EU students). Experience and knowledge of NLP, multimodal LLMs, Ontologies, Semantic Web, Computer Aided Engineering (CAE) and Model-Based Systems Engineering (MBSE) tools and technology will be considered as an advantage.

The successful candidate must be capable of obtaining UK security clearance to fulfil any onsite industrial placement at the location of the host site.

Research Environment in Host Institution

The Department of Computer Science at the University of Manchester (UoM) is in the unique position of hosting the National Centre for Text Mining (NaCTeM), the first publicly funded centre for text mining in the world, focusing on fundamental research in Natural Language Processing (LLMs, interpretability, information extraction) in a variety of domains. Besides NaCTeM, academic expertise in AI is spread across a number of other institutes including the Institute for Data Science and AI (IDSAI), the Centre for AI Fundamentals and partnerships with the Alan Turing Institute and the European Laboratory for Learning and Intelligent Systems (ELLIS).

BAE Systems

BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions. They employ a skilled workforce of more than 93,000 people in around 40 countries. Working with customers and local partners, they develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.

Before you apply

We strongly recommend that you contact the supervisors of this project prior to application.

How to apply

To be considered for this project, you will need to complete a formal application through our online application portal [6] by the 26th of January 2024.

When applying, you will need to specify the full name of this project, the name of your supervisor, how you are planning to fund your research, details of your previous studies, and the names and contact details of two referees.

Please also send the following to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Hujun Yin (hujun.yin@manchester.ac.uk):

Cover letter and full CV
Full degree transcripts and relevant certificates

Candidates will be shortlisted by a panel comprising members of UoM and BAE Systems. Selected candidates will be invited to give a presentation followed by a formal interview. The interviews will be held during the week of 29th January 2024.

Your application will not be processed unless all of the required documents are submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.

If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk.

Equality, diversity and inclusion [7] is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.

We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.

We also support applications from those returning from a career break or other roles. We will consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).

Funding Notes

This project is funded through EPSRC iCASE (with BAE Systems). The project will pay the tuition fees and provide a tax free stipend set at the UKRI rate (£18,622). We are able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme. Additional research funds will be available.

Postdoctoral Researcher in NLP for Computational Social Science - Bocconi University

Employer: Bocconi University
Title: Postdoctoral Researcher
Specialty: NLP for Computational Social Science
Location: Milan, Italy
Deadline: 2024-01-31
Starting date: 2024-03-01 or anytime thereafter
Date posted: 2023-11-28
Contact: Kai Zhu (kai.zhu@unibocconi.it)

Description

We are seeking a Postdoctoral researcher at Bocconi University in computational social science, emphasizing natural language processing (NLP) and societal impact of the media ecosystem. This position is a unique opportunity to work on projects that explore the interplay between social media and mass media in shaping public narratives and collective attention. The successful candidate will work closely with Prof. Kai Zhu and Prof. Dirk Hovy, and will have the opportunity to be part of the MilaNLP Lab and BIDSA research center.

Project Overview

Title: Exploring Societal Impact of Media Ecosystem
Duration: 21 months
Total compensation: 87,500 Euro
Research Focus: Investigating the dynamic relationship between social media discussions, mass media coverage, and collective attention/public attitude toward social issues
Unique Dataset: The candidate will have the opportunity to work on large-scale data capturing text transcripts from more than 800 national and local television channels across all 210 Designated Market Areas (DMAs) in the United States, spanning from January 2013 to August 2022. This dataset includes over 10 million hours of television broadcasting and over 60 billion words, covering news, sports, entertainment, commercials, and educational content. It uniquely includes content from local channels tailored to specific regional interests and concerns.

Responsibilities

Process and analyze the large-scale TV content transcript dataset, focusing on extracting meaningful insights relevant to social issues.

Collaborate with a multidisciplinary team and contribute to the development of innovative models to understand the role of media in shaping social issues.

The candidate is encouraged to create new projects based on the available dataset and demonstrate innovation and independence in their academic research. This includes formulating original research questions, developing novel methodologies, and contributing unique insights to the field.

Qualifications

Experience with Large-Scale Text Data: Demonstrated experience in handling and analyzing large-scale text datasets, including data preprocessing and text mining.

Expertise in NLP: Solid training in NLP, including experience with modern techniques and models.

Interest in Computational Social Science: Keen interest in applying NLP to social science questions, particularly in analyzing the interplay between social and mass media in shaping social issues.

Application Instructions

Interested candidates should submit 1) a detailed CV, 2) a cover letter outlining research interests and career goals, 3) a paper sample of your choice. To submit your application, please go to the Bocconi postdoc job market page and search for “EXPLORING SOCIETAL IMPACT OF MEDIA ECOSYSTEM”. For any questions, please email Kai Zhu at kai.zhu@unibocconi.it.

Postdoctoral Researcher in Large Language Models - Jackson State University

Employer: Jackson State University
Title: Postdoctoral Researcher
Specialty: Large Language Models (LLMs)
Location: Jackson, Mississippi
Date posted: 11/20/2023
Application Email: wei.zheng@jsums.edu (Subject: POST-DOC)

Description

We are searching for a highly motivated candidate to join our interdisciplinary research team as a Postdoctoral Researcher focused on applying NLP and LLMs to improve support for personalized teaching and learning.

Responsibilities include leading innovative NLP and LLM research projects, publishing in conferences and journals, advising and mentoring students, engaging in outreach activities.

This three-year position will provide unique opportunities to contribute to cutting-edge interdisciplinary research at the intersection of natural language processing, artificial intelligence, and pedagogy. You will collaborate closely with researchers from diverse academic backgrounds to conduct meaningful work within education and other fields. Through disseminating findings in peer-reviewed publications and conferences, advising students, and engaging broader communities, you will develop experience and skills that strengthen your competitiveness for an academic faculty career or similar roles requiring success in competitive grant writing. This role allows you to make an impact across disciplines while also investing in your long-term professional growth and career trajectory.

Qualifications

Candidates must have a Ph.D. in Computer Science, Data Science, or a related field with a strong background in LLM pre-training/fine-tuning. Excellent communication and collaborative skills are essential.

Application Instructions

Interested candidates should apply by sending their CV, cover letter, and three references to wei.zheng@jsums.edu (Subject: POST-DOC). Applications will be reviewed until the position is filled.

Multiple Tenure-Line Faculty Positions in AI and Computing - DePaul University, Jarvis College of Computing and Digital Media

Employer: DePaul University, Jarvis College of Computing and Digital Media, School of Computing
Website: https://www.cdm.depaul.edu
Title: Assistant/Associate Professor
Specialty: Core AI (including NLP), cybersecurity, information systems, computer systems, software engineering
Location: Chicago, IL, USA
Date posted: November 8 2023
Application Website: https://apply.interfolio.com/135229

Description

The School of Computing at DePaul University invites applications for multiple tenure-track positions at the level of assistant or associate professor. We are particularly interested in candidates in core AI (e.g., AI foundation models, machine learning, natural language processing, responsible AI), cybersecurity (e.g., forensics, cloud security, usable security, human-centered cybersecurity), information systems (e.g., process modeling, enterprise cloud computing, BI systems), computer systems (e.g., cloud computing, virtualization, data-intensive systems), and software engineering: (e.g., software design and architecture, quality assurance and testing, software safety and security, agile and DevOps methodologies).

The School of Computing includes over 74 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 12 master's degrees, and 9 bachelor’s degrees. The School of Computing is committed to providing a flexible and supportive environment for its faculty, promoting a rewarding academic career with a balance between teaching and research. Located in the heart of Chicago’s vibrant downtown, it offers vast opportunities to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area.

The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing; Visual Computing, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Semantics. Over the last decade, the school faculty have secured more than $13.4M in NSF funding and consistently publish in selective conferences. The culture within the school emphasizes high-impact and high-quality research, rather than placing pressure on faculty to secure external funding or publish many papers. Nonetheless, the university provides extensive support for external funding, as well as a robust internal research grants program, including PhD stipends, graduate assistantships and course releases.

DePaul draws students of many backgrounds and cultures in a diverse urban setting. We are interested in recruiting and maintaining a diverse faculty. Members of all underrepresented groups, women, veterans, and persons with disabilities are invited and encouraged to apply. DePaul University offers equal employment opportunities to all persons in accordance with applicable federal, state, and local EEO laws. Positions are contingent upon available budgetary resources.

Qualifications

Applicants should have a PhD degree in Computer Science, Information Systems, Computer or Electrical Engineering, or a related field.

Application Instructions

Review of applications will begin on November 5, 2023 and continue until the positions are filled.

The application must include: a curriculum vitae; at least three letters of recommendation; a research statement, highlighting both current and future directions of research; a teaching statement; and a diversity statement, addressing the candidate's values, experiences and future plans concerning diversity, equity, and inclusion.

For more information, contact James Riely (jriely@cs.depaul.edu).

Equal Employment Opportunity Statement

EEO Statement

DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, martial status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws.

Safety and Security Statement - Clery Act

A copy of DePaul University's Safety and Security Information Report and Fire Safety Report is available upon request. The report includes statistics about crimes that occurred on campus and public property immediately adjacent to campus. The report includes institutional policies concerning campus security, sexual assault and other matters. It also includes fire statistics, fire safety practices and standards of the institution. A copy of this report can be obtained by contacting the Crime Prevention Office at 773-325-7775 or by visiting the DePaul Public Safety website at http://publicsafety.depaul.edu .

Title IX Statement

Federal Title IX policy requires that all colleges and universities make known the contact information for the person responsible for coordinating its efforts to comply with Title IX responsibilities. At DePaul University, the Interim Title IX Coordinator is Kimberlie Goldsberry. Her office is located in Lincoln Park on the 3rd floor of the Student Center, 2250 N. Sheffield Avenue. She can be reached at 312-362-8970, or titleixcoordinator@depaul.edu.

Required Background Check

Employment at DePaul University is contingent on passing a background check. Only final candidates who are extended an offer of employment will undergo a background check.

Mandated Reporting of Child Abuse & Neglect

Upon accepting an offer of employment with the university, you will also be required to sign an Acknowledgement of Mandated Reporter Status at the time of hire. A mandated reporter is required to make a report to the Illinois DCFS Hotline whenever there is a reasonable cause to believe that a child known to them in their professional or official capacity may be abused or neglected. For more information, please visit the following pages:

Illinois Department of Children & Family Services (DCFS): https://www2.illinois.gov/dcfs/pages/default.aspx#xd_co_f=ZGE5YjZmYTEtNTBjNi00YzRhLWE4OGEtMDFhOTRlZTBmYTE3~

Illinois Abused and Neglected Child Reporting Act: https://www.ilga.gov/legislation/ilcs/ilcs3.asp?ActID=1460&ChapterID=32

Full-time Faculty Position in Computational Linguistics or Natural Language Processing - Brigham Young University, Department of Linguistics

Employer: Brigham Young University (BYU)
Job Title: Assistant/Associate/Full Professor (any career stage)
Job Classification: CFS (tenure-like) Professorial Faculty
Specialty: Computational Linguistics or Natural Language Processing
Location: Provo, Utah, USA
Date Posted: 3 November 2023
Application Deadline: 8 December 2023
Start Date of Position: 1 August 2024
Required Degree: PhD in Computational Linguistics, Linguistics, or a related field. Note: The required degree must be completed by the start date.
Application Website: https://hrms.byu.edu/psc/ps/PUBLIC/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Employee&SiteId=70&JobOpeningId=127182&PostingSeq=1

Experience: The Department of Linguistics at Brigham Young University is excited to announce a position for a full-time faculty position in the field of linguistics encouraging those at any career stage to apply. This position, with a 'continuing faculty status' (CFS), similar to tenure-track, entails teaching courses aimed at linguistics majors, minors, and Master's students, especially those interested in computational linguistics and natural language processing. Our department's Linguistic Computing minor offers students foundational knowledge and tools to apply computational techniques to natural language. Thus, all candidates should be capable of teaching key courses in computational linguistics or natural language processing in addition to other areas of linguistics. The Department of Linguistics provides a supportive, collaborative atmosphere that contributes to the development of faculty research agendas in a range of areas.

Duties/Expectations: Under a 10-month contract, primary responsibilities include:

Teaching six courses annually, predominantly within the Linguistics major and Linguistic Computing minor but also possibly in other department programs (https://ling.byu.edu/all-programs)
Conducting original research and disseminating that research in reputable journals, books, conferences, or other scholarly outlets
Mentoring students in linguistic research, research presentations, peer-reviewed article publication, and grant writing
Contributing to other departmental and college duties, including student advising, thesis chairing, program coordination, committee service, and shared governance

All candidates must have:

Proficiency to teach core linguistics courses including courses in the Linguistics Computing minor (https://catalog.byu.edu/programs/34635)
Evident potential for or substantiated record of scholarly research and/or a well-defined research agenda
Commitment to mentoring students effectively in and out of class
Willingness to support student faith through obvious commitment to the religious expectations of the sponsoring institution, The Church of Jesus Christ of Latter-day Saints

Ideal candidates have some of the following:

Industry experience in computational linguistics
Ability to contribute to linguistics thesis committees (as reader and/or chair)
Ability to bridge personal scholarship with linguistics
Keenness to collaborate with students on diverse research projects, both faculty-led and student-driven

Starting rank and salary commensurate with qualifications and experience.

Information required at the time of application Please list the individual contact information for each of your three recommenders on the faculty application. At some point during the selection process, they may be contacted to submit their letters of reference electronically.

Document(s) required at the time of application Please attach your Mission Alignment Statement, updated Curriculum Vitae, and cover letter to the faculty application.

Mission Alignment Statement: BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. To this end, please include a one-page mission alignment statement as part of your application that addresses how you might, as a BYU faculty member: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrines and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball).

Applicants who are not members of The Church of Jesus Christ of Latter-day Saints should include a one-page mission alignment statement that describes understanding of and commitment to the Mission of Brigham Young University and the AIMS of a BYU Education (https://aims.byu.edu/).

LI-DNI

Equal Opportunity Employer: m/f/Vets/Disability

Brigham Young University is an equal opportunity employer. All faculty are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrine of the affiliated church.

All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend.

Tenure-Track or Tenured Faculty Position in AI for Science and Society - University of Michigan, School of Information

Employer: University of Michigan
Title: Assistant/Associate/Full Professor
Specialty: AI for Science and Society
Location: Ann Arbor, MI
Deadline: December 01 2023
Date posted: November 2 2023
Application Website: https://apply.interfolio.com/135664

The University of Michigan School of Information (UMSI) in Ann Arbor, Michigan seeks qualified tenure-track assistant, associate, or full professor in the field of AI for Science and Society. We are particularly interested in candidates building and applying novel AI approaches (e.g., generative models) in transformative research of science and society. This includes areas such as education, behavioral sciences, healthcare, future of work, digital humanities, public policy, social sciences, and other disciplines that are aligned with UMSI’s research landscape. Candidates are expected to be able to teach residential and/or online courses related to applied data science and generative AI.

The successful candidate should demonstrate strong potential for research in generative AI and funding from external funding agencies. The candidate is also expected to have a strong commitment to teaching and mentoring students from diverse backgrounds.

Job Expectations and Responsibilities: Job duties include research, teaching, and service. Job responsibilities include but are not limited to:

Conduct world-class research in generative AI, with a focus on developing new models and applications that have the potential to transform science and society.
Seek external funding to support their research program.
Teach undergraduate and graduate courses.
Mentor undergraduate and graduate students in their research.
Serve on UMSI committees and contribute to the school’s mission of teaching, research, and service.

Each contributing member of the UMSI faculty is expected to have teaching effort equivalent to three semester-long courses per year.

About UMSI and UM The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.

The School is home to vibrant research and teaching programs, with 74 FTE professors, and over 1,803 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit: www.si.umich.edu.

Minimum Qualifications PhD in Computer Science, Information Science, Statistics, Economics, Public Policy, or a related field.

How to Apply: All applicants for this tenure-track or tenured faculty position in Accessibility should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, a diversity statement. Applicants at the assistant professor level must submit three letters of recommendation; applicants at the associate and full professor level must submit the names of three recommenders. All application materials must be submitted electronically to : https://apply.interfolio.com/135664

Please direct inquiries about this position to the chair of our faculty search committee, Qiaozhu Mei (qmei@umich.edu). Consideration of applications will begin immediately. Applications must be submitted by Dec. 1, 2023, for consideration as the job posting will close for review.

Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer.

PhD Position on Perspectivism and Disagreement in Natural Language Processing - University of Twente, Netherlands

Employer: University of Twente
Title: PhD Student (paid)
Specialty: Natural Language Processing
Location: Enschede, Netherlands
Deadline: December 04 2023
Date posted: November 2 2023
Application Website: https://utwentecareers.nl/en/vacancies/1505/phd-position-on-perspectivism-and-disagreement-in-natural-language-processing/

Do you want to work on Natural Language Processing (NLP) and aspects of fairness and representation in Machine Learning (ML)? We are looking for a highly motivated and curious PhD candidate to join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the University of Twente in the Netherlands.

ML and NLP approaches and the processes surrounding them often focus on finding a single “truth” or gold standard by majority vote and removing any “outliers”. From the curation of data sets (where we use measurements like inter-annotator agreement as a quality attribute) to the presentation of results (where less favorable options are regularly excluded), different perspectives and disagreements are typically excluded in ML. In reality, such a single truth often does not exist. From the legal to the medical domain, experts often have different opinions. Erasing deviating perspectives and disagreement is not only an untruthful representation of reality, but it can also negatively impact the reliability and usefulness of an ML system. In societal and political debates, having and exchanging different opinions is even one of the defining properties of democratic societies. This PhD project aims to investigate how different opinions of and disagreements between annotators and other sources for “ground truth” can be represented in NLP and leveraged to improve the support that AI systems can provide to their users. The project will consider all steps of the process, from the gathering and annotation of data, the use of the data to train NLP models, to the representation of results.

Responsibilities

During the project, the PhD candidate will perform research on some of the following tasks:

Design experiments to create annotated text corpora;
Develop new NLP models and approaches using Python and train and fine-tune existing open-source models;
Perform intrinsic evaluation of ML models;
Apply the insights gained to specific domains of application;
Develop software prototypes for performing task-based evaluations.

As a doctoral student, your key responsibilities will be to manage and carry out your research project within 48 months and write a PhD thesis. You will participate in research and training activities and disseminate research in the scientific community (international conferences) and non-scientific community by outreach and public engagement. Furthermore, you will write articles for scientific peer-reviewed journals and progress reports and prepare results for publication and dissemination via public lectures, presentations, and the web. You will also be responsible for taking courses per the research education and liaising with the other research staff, students, and partner institutions working in broad areas relevant to the research project. Participation in other department duties, such as meetings, teaching, etc., is expected to cover a maximum scope of 20%.

Your profile

A background in Natural Language Processing;
A strong interest in ethical and societal aspects of AI;
You hold, or will shortly acquire, a master’s degree in Computer Science, Computational Linguistics, Information Systems, or a related discipline;
Demonstrated programming skills in Python, JavaScript or similar languages;
First experience with user studies is a plus;
Capable of conducting independent research and willing to develop writing and publication skills;
Proficient in written and oral English (C1; above IELTS 7 or equivalent);
A positive team spirit and enthusiasm for working in an interdisciplinary and internationally oriented environment.

Our offer

We encourage high responsibility and independence, while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year PhD position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes:

Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;
Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
29 holidays per year in case of full-time employment;
A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
A green campus with free access to sports facilities and an international scientific community;
A family-friendly institution that offers parental leave (both paid and unpaid);
A full status as an employee at the UT, including pension, health care benefits and good secondary conditions are part of our collective labour agreement CAO-NU for Dutch universities.

How to apply

Are you interested in being part of our team? Please submit your application before the 4th of December and include:

A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position;
A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications.

Additional information can be acquired via email from d.braun@utwente.nl.

Selection Process

A first round of speed interviews (max. 30 min, online) is scheduled to take place between the 18th and 22nd of December, invitations will be sent out approximately one week after the application deadline. The final round of interviews will be conducted online in January. The anticipated starting date is from February 2024 onwards, depending on processing times for Visa and administrative processes.

Research Fellow - MATS Winter Cohort in Berkeley, CA

Specialty: AI safety, large language models
Deadline: November 17, 2023 (or November 10 for Neel Nanda)
Date posted: October 31, 2023
Application Website: https://www.matsprogram.org

The MATS Winter 2023-24 Cohort has launched! Apply by Nov 17 (or Nov 10 for Neel Nanda).

The ML Alignment & Theory Scholars (MATS) Program is an educational seminar and independent research program. MATS provides talented scholars with talks, workshops, and research mentorship in the field of AI safety, and connects them with the Berkeley AI safety research community.

The program takes place in Berkeley, CA from January 8 to March 17. If you’d like to sign up for program updates and application deadline reminders, fill out our interest form (~1 min)! If you know anyone you’d be excited to see apply to MATS, you can fill out our recommendation form (~1 minute). We’ll reach out to encourage them to apply! Read more about the winter program here.

Assistant/Associate/Full Professor in NLP - Department of Computer Science, University of Colorado Boulder

Employer: University of Colorado Boulder
Title: Tenure/Tenure-Track Professor
Specialty: Natural Language Processing
Location: Boulder, Colorado, USA
Deadline: November 26 2023
Date posted: October 5 2023
Application Website: https://jobs.colorado.edu/jobs/JobDetail/Tenure-Tenure-Track-Faculty-Search-in-Natural-Language-Processing/52139

The Department of Computer Science at the University of Colorado Boulder invites applications for a tenure-track faculty position in natural language processing (NLP). We seek candidates at the assistant, associate, or full professor level with a strong background in core NLP topics. We are especially looking for applicants who are interested in or have experience with applying NLP to interdisciplinary problems, e.g., in the areas of Computational Social Science, Fairness, Accountability, and Transparency, Human-Computer Interaction (HCI), Science of Science, Trustworthy AI, or Bioinformatics and Health Sciences. This list is not exhaustive. The successful candidate will be expected to contribute to the department's research, teaching, and service missions. This position is anticipated to be hired at the Assistant Professor rank; however, qualified candidates may be considered at the Associate Professor or Professor rank.

We are looking for one faculty member in the area with the potential for a second hire based on the candidate pool.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

WHO WE ARE:

Computer Science is the fastest growing and largest department within the College of Engineering and Applied Science. The department is home to 50 tenured and tenure-track faculty plus 25 instructional faculty and now hosts nearly 1,300 undergraduate and 500 graduate students. Computer Science has a strong tradition and national reputation for excellence in NLP, a field that has seen a dramatic increase in student interest. This search aims to continue our prominence in the area and deepen interdisciplinary collaborations with departments such as Linguistics, Information Science, Applied Mathematics, Psychology, and Business and Law schools.

Our department is committed to fostering an inclusive environment, and we seek candidates who understand the benefits of interdisciplinary collaborations with students, faculty, and other researchers from across CU. Our department is also responsive to dual-career situations. For more information about the Department of Computer Science, please visit: https://www.colorado.edu/cs/

The University of Colorado Boulder (CU Boulder) is among the most research-active public universities in the country, and the College of Engineering and Applied Science is the second largest school or college on the CU Boulder campus. We are committed to fostering a diverse, inclusive, and academically excellent community.

WHAT YOUR KEY RESPONSIBILITIES WILL BE:

Successful candidates will be expected to engage in undergraduate and graduate teaching and mentoring; develop an externally funded research program in their technical area; contribute professional leadership and service to their unit, the college, and their professional community; and cultivate and contribute to the inclusive excellence of our academic community.
Contribute solutions to complex global challenges, aiming to improve economic competitiveness, security, and quality of life. Your efforts will bolster our national leadership, ensuring that advancements in NLP are inclusive and transcend social, economic, and geographical boundaries, fostering a diverse academic and social environment.
The typical distribution of work for this role is 40% teaching, 40% scholarly and creative work (research), and 20% leadership and service.

WHAT YOU SHOULD KNOW:

The anticipated start date for this position is Fall 2024, but a later start date may be negotiated.
This search is aimed at increasing our critical mass of faculty with expertise in natural language processing (NLP). We seek candidates whose teaching, research, and service will contribute to the department's leadership in NLP and help foster an inclusive academic culture of excellence in the College of Engineering and Applied Science.
As part of the University of Colorado Boulder’s deep commitment to equity, diversity, and inclusion, the campus has implemented a reference check program with respect to final candidates for tenured faculty appointments. The reference check program is intended to allow CU Boulder to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination – before making hiring decisions. All final candidates for tenured faculty appointments are required to complete an Authorization to Release Information.

WHAT WE CAN OFFER:

The anticipated academic year salary range for this position at the Assistant Professor rank is $110,000 - $130,000 academic year salary.
Qualified candidates will be considered for Associate Professor or Professor rank. The full salary range is $110,000 - $190,000, depending on rank.
A relocation stipend may be available within CEAS guidelines.
Tenure-track faculty benefits include eligibility for gender-neutral paid parental leave; housing down-payment assistance programs; a relocation and dual career assistance program; and teaching, research, and professional development.

BENEFITS:

The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.

WHAT WE REQUIRE:

Applicants must have earned a research doctorate in Computer Science, Information Science, Computational Linguistics, Computer Engineering, or a similar field or have their degree conferred before starting a tenure-track faculty appointment.
Candidates being considered for appointment at the Associate Professor or Professor rank must meet University standards and unit criteria for tenure and promotion to the designated rank. This generally includes having an established and ongoing program of original research, a strong publication record, and demonstrated ability to obtain external funding as well as a record of high-quality teaching and mentoring.

SPECIAL INSTRUCTIONS:

To apply, please submit the following materials as individual PDF files:

Cover Letter: A one-page cover letter describing your interest in the position and summarizing your personal academic goals.
Resume/CV: A current curriculum vitae.
A Statement of Research Philosophy: A statement of your experience and plans for research and/or creative work that contributes to the body of knowledge in your field and provides broader benefits to education and society (2-3 pages).
A Statement of Teaching Philosophy: A statement of your experience and plans for teaching and mentoring a diverse student body (2-3 pages).
A Contributions to Diversity and Inclusion Statement: A statement on how your teaching, research, and leadership and service demonstrates a commitment to diversity and inclusion. Examples might include scholarly work, efforts to improve access to higher education for underserved individuals or groups, or other contributions to diverse communities. For guidance in writing this statement please see the link: https://www.colorado.edu/engineering/support-faculty-applicants) (1-2 pages).
List of References: Please upload a document that lists the name and contact information for references who may be contacted by phone. *Note - during the application process, you will separately be asked to provide the contact information for three (3) references who may be asked to provide letters of recommendation later in the search process. These references may be the same or different than those you list on your phone check document.

Applications will be accepted until the position is filled; however, for full consideration please apply by November 26, 2023. Background checks will be conducted for all final candidates.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs (search by job title or by requisition number: 52139).

Assistant Professor - Department of Psychology, Rochester Institute of Technology

Employer: Rochester Institute of Technology
Title: Assistant Professor
Specialty: Cognitive Science
Secondary expertise: cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology
Location: Rochester, New York, USA
Deadline: When the job posting is no longer live
Date posted: 04 October 2023
Contact: Dr. Caroline DeLong - cmdgsh@rit.edu
Application Website: http://careers.rit.edu/faculty Keyword Search 8262BR

DETAILED JOB DESCRIPTION: The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024. We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply. The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity.

We are seeking individuals who have the ability and interest in contributing to a community committed tostudent-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values, honor code, and statement of diversity.

THE COLLEGE/ DEPARTMENT: The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology. The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience.

The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students.

THE UNIVERSITY: Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu .

REQUIRED MINIMUM QUALIFICATIONS:

Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics);
Have demonstrated ability to conduct independent research in psychology or closely related fields;
Have consistently and recently published;
Have demonstrated teaching ability and have taught college courses independently beyond TA;
Have demonstrated ability to supervise student research;
Demonstrate external research grant attainment potential;
Demonstrate expertise in research and teaching in cognitive science;
Show a career trajectory that emphasizes a balance between teaching and research;
Show a fit with the Department of Psychology’s general mission, teaching, research, and resources.
Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.

HOW TO APPLY: Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:

A brief teaching philosophy
A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research
The names, addresses and phone numbers for three references
Contribution to Diversity Statement (https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx)

You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh@rit.edu.

Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found.

RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit RIT/TitleIX or the U.S. Department of Education at ED.Gov

Assistant Professor in Syntax - Department of Linguistics, University of Kentucky

Employer: University of Kentucky
Title: Assistant Professor
Specialty: Syntax (with interest in computable syntactic models)
Secondary expertise: semantics, morphology, psycholinguistics
Location: Lexington, Kentucky, USA
Deadline: 11 December 2023
Date posted: 19 September 2023
Contact: Dr. Allison Burkette - allison.burkette@uky.edu
Application Website: https://ukjobs.uky.edu/postings/485221

The Department of Linguistics in the College of Arts and Sciences at the University of Kentucky in Lexington, Kentucky seeks to fill a tenure-eligible faculty position at the Assistant Professor level in Syntax. This is a 9-month position in the regular title series with an anticipated start date of August 1, 2024. The ideal candidate will have demonstrated research expertise in syntax with interest in computable syntactic models, with secondary expertise in semantics, morphology, or psycholinguistics, and an ability to teach courses in a range of these areas. The Linguistics department is strong in sociolinguistics, computational linguistics, and historical linguistics. We encourage candidates whose research and teaching interests can contribute to one or more of these areas. A Ph.D. in Linguistics or related field is required.

Interested applicants should apply online at: https://ukjobs.uky.edu/postings/485221
Application deadline for this position is: 11 December 2023.

Applicants must include the following:

cover letter.
CV.
unofficial transcript.
statement of teaching experience (upload as Specific Request 1).
statement of research experience (upload as Specific Request 2).
a statement on their contribution toward inclusive excellence in teaching, research, professional activities, and/or service (upload as Specific Request 3).

In addition, please provide the names and contact information for three references when prompted in the academic profile. This information may be utilized to solicit recommendation letters from your references within the employment system.

The University of Kentucky provides comprehensive benefits which are fully described at: https://hr.uky.edu/employment/working-uk/our-benefits

Questions about this search should be addressed to Dr. Allison Burkette, Department Chair, Department of Linguistics, University of Kentucky, allison.burkette@uky.edu.

As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities.

Assistant Professor - NLP and Data Science, University of California, Davis

Employer: University of California, Davis
Title: Assistant Professor
Specialty: Natural Language Processing, Data Science
Location: Davis, California, USA
Deadline: November 15, 2023 (for full consideration)
Date posted: September 12, 2023
Contact: Angus Chang
Application Website: https://recruit.ucdavis.edu/JPF06015

The Departments of Linguistics and Statistics at University of California, Davis jointly invite applications for a tenure-track Assistant Professor position starting Fall 2024. We are seeking an engaged individual, willing to help in creating an exciting environment involving the two thriving departments. A successful candidate is expected to develop a research program at the intersection of Linguistics, Statistics and Data Science. Within this intersection, the candidate’s focus of inquiry will remain wide open. Interests can range from probabilistic approaches to language processing, to the investigation of societal consequences of big language data or the application of computational methods to social sciences, to mention but a few.

Desired qualifications include the ability to teach pertinent classes in both linguistics and statistics. Mentoring of undergraduate students, supervision of graduate students, involvement in curricular development, and performance of university service are expected. A Ph.D. in Linguistics, Statistics, Computer Science, Cognitive Science, or a closely related field must be completed by the beginning of instruction.

Applicants should submit: curriculum vitae, a cover letter that clearly states reasons for the candidate’s interest in the position, qualifications, and a summary of academic trajectory; statements of research and teaching interests, official graduate transcripts, one writing sample (publication, submitted manuscript, or dissertation chapter), and three letters of recommendation through the online application system found at: https://recruit.ucdavis.edu/JPF06015. This recruitment is conducted at the Assistant rank. The resulting hire will be at the Assistant rank, regardless of the proposed appointee’s qualifications. Appointment level and salary are commensurate with experience. A reasonable estimate for this position is $101,000 to $145,000.

The position will remain open until filled. Applications received by November 15, 2023 will receive full initial consideration.

The University of California, Davis, is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.

Postdoctoral Researcher in NLP, Bocconi University, Italy

Employer: Bocconi University, Milan, Italy
Title: Postdoctoral Researcher
Speciality: NLP
Starting date: Oct 1 2023, or any time thereafter
Duration: 2 years
Deadline: 1st September 2023
Salary: Competitive salary. Applicants from outside Italy may qualify for a researcher taxation scheme
Date posted: 25th July 2023
Contact: <Debora Nozza> (website)

We are seeking a highly motivated and talented individual to join our research team as a Postdoctoral Researcher in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the algorithmic and application aspects of NLP-based technologies. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab.

Your profile:

a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
Excellent programming skills in Python.
Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch).
Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.

HOW TO APPLY:

Go to the Bocconi postdoc job market page Job ad and search for “Natural language processing”, where you can also find the official job description. Candidates should attach publications and a cover letter to their application.

Online interviews will take place during September 2023. Please contact <Debora Nozza> if you have any questions.

(Senior) NLP Researcher at ASUS Intelligent Cloud Services

Employer: ASUS Intelligent Cloud Services (AICS)
Title: AI Researcher
Specialty: Machine Learning, Natural Language Processing
Location: Singapore or Taipei (Full-Time, Hybrid)
Date posted: July 18th, 2023
Apply here: job posting
Deadline: as long as the job posting above is live
Contact: Stefan Winkler

The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions using natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical records and improve the efficiency of hospital operations, unleashing the power of data for healthcare and bringing transformative impact to the industry.

The role of a Researcher is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. As a senior member of the team, you will also help define research directions and guide junior researchers.

Responsibilities

Drive AI/ML research from concepts to feasible output to determine the viability of ideas and technologies.
Research and develop innovative ML methods with high impact.
Publish and present your work in the top ML/NLP venues.
Work with product and engineering teams to transform model prototypes into production, using best practices for model development, management, and maintenance.
Establish internal and external partnerships to collaborate on research projects, supervise students and interns.

Qualifications

Ph.D. degree in computer science or related discipline.
(for senior role) at least 5 years research experience post-PhD, preferably in industry.
Strong expertise in state-of-the-art machine learning methods, especially in the domains of natural language processing or time series data analysis.
Familiarity with generative models, un-/semi-supervised learning, long-tailed learning, and/or domain generalization.
Track record of publications at top peer-reviewed conferences and journals.
Hands-on experience with deep learning frameworks such as PyTorch, Keras, and Tensorflow.
Knowledge of MLOps and deploying models in production will be beneficial.
Strong analytical and problem-solving skills.

Applied Machine Learning Scientist at Thomson Reuters Labs London

Employer: Thomson Reuters Labs
Title: Applied Machine Learning Scientist
Specialty: Machine Learning, Information Retrieval, and Natural Language Processing
Location: London, UK (Full-Time, Hybrid)
Deadline: When the job posting is no longer live
Date posted: July 13th, 2023
Contact for more info: Dell Zhang

Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? Thomson Reuters Labs in London is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.

As a scientist in TR Labs, you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

Why it's an exciting time to join our team?

We have:

$100 million annually we are investing in generative AI technologies such as LLM and chat-based conversational interfaces.
30+ years of experience deploying AI and language models culminating in industry-leading innovations such as Westlaw Edge, Westlaw Precision, Practical Law Dynamic and Checkpoint Edge.
150+ years of providing professionals with trusted, accurate source of legal and tax content, cultivated by over 2,000 subject matter experts.
Our new plugin with Microsoft and Microsoft 365 Copilot for legal professionals.
Our announced acquisition of Casetext, a leader in legal AI innovation.

About the role

As a scientist in TR Labs, you will:

Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.
Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

About the company

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

About you

Basic qualifications

Master's or Bachelor's with a comparable level of experience or PhD in a relevant discipline.
Proven practical, relevant experience building AI/ML products and applications.
Software engineering and / or data engineering skills for prototyping.
Experience as a technical contributor in aspects of the following:

 - comfort in dealing with uncertainty and ambiguity in problem statements and paths to success,
 - executing the research and development with an iterative mindset and approach,
 - communication of progress and plans with varied stakeholders.

Preferred qualifications

Significant practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry.
Ability to translate research into practical working solutions and applications.
Experience in a fast-paced, agile environments managing uncertainty and ambiguity.
Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment.
Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders.
Diverse experiences across problem spaces, companies and cultures.

What's in it for you

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

Technology: Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; enterprise-wide company learning days, internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose-Driven Work: We have a superpower that we've never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

How to Apply

For further details and to apply, please follow the link of the job posting.

Research Associate in Natural Language Processing (KTP Associate)

Employer: Department of Computer Science, University of Manchester, UK and 10BE5, London, UK
Title: Research Associate in Natural Language Processing (KTP Associate)
Specialty: Natural Language Processing
Location: London and Manchester, UK
Deadline: March 14, 2023
Date posted: February 28, 2023
Apply here: Full ad and job description
Contact: Prof. Sophia Ananiadou [8]

This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project.

The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being:

a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and
a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms.

The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs.

Candidates will require a PhD in Natural Language Processing and work experience in related domains.

The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry.

The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations.

Salary: £34,308 to £42,155 per annum depending on experience. This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget

Hours: Full time

Duration: Available For 30 Months From Start Date

Postdoc position up to 3 years

Employer: Bocconi University, Milan, Italy
Title: Postdoctoral Researcher
Speciality: NLP, bias, hate speech, demographic factors, machine learning
Starting date: March 1 2023, or any time thereafter
Duration: 2 years, 1 year extension possible
Deadline: 23rd January 2023
Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
Date posted: 12th December 2022
Contact: <Dirk Hovy> (website)

Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: "Yo, a**hole!" is acceptable among friends but not strangers. Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies: - modeling a complex problem with socio-demographic context, - automating counter-argument and responding to aggressive users, and - creating evaluation methods to analyze fairness, performance, and subjectivity. Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities. Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab.

Your profile:

a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
Submission of a CV, list of publications, and cover letter.

HOW TO APPLY: Online job portal (search for INDOMITA) English job description Candidates should attach publications and a cover letter to their application. Online interviews will take place during February 2023.

Associate/Full Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics)

Employer: University of California, San Diego
Title: Associate/Full Professor
Specialty: Natural Language Processing
Location: San Diego, California, USA
Deadline: January 8, 2023 (for full consideration)
Date posted: December 8, 2022

APPLICATION WINDOW

Open date: November 21, 2022

Next review date: Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Jun 30, 2023 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

POSITION DESCRIPTION

The University of California, San Diego invites applications for a tenured Associate or Full Professor in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.

Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.

We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.

Authorization to work in the U.S. is a precondition of employment.

QUALIFICATIONS

Basic qualifications (required at time of application)

PhD in Data Science, Computer Science, Linguistics, or related discipline.

Track record of published research in Data Science or related field.

Preferred qualifications

We seek applicants with an outstanding track record of research accomplishments, excellence in teaching, service, and a commitment to support diversity, equity and inclusion at the university.

APPLICATION REQUIREMENTS

Document requirements

Cover Letter

Curriculum Vitae - Your most recently updated C.V.

Statement of Research

Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.

Statement of Teaching

Teaching Evaluations (Optional)

Institutional Reference Check - UC San Diego requires all candidates for academic appointments with tenure or security of employment to complete, sign, and upload the form entitled "Authorization to Release” into RECRUIT as part of their application. Additional information is available online:

https://aps.ucsd.edu/recruitment/background_check/.

Misc / Additional (Optional)

Reference requirements

3-5 letters of reference required (contact information only)

Apply link: https://apol-recruit.ucsd.edu/JPF03447

Help contact: d1dutson@ucsd.edu

CAMPUS INFORMATION

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all University controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.

JOB LOCATION

San Diego

Assistant Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics)

Employer: University of California, San Diego
Title: Assistant Professor
Specialty: Natural Language Processing
Location: San Diego, California, USA
Deadline: January 8, 2023 (for full consideration)
Date posted: December 8, 2022

APPLICATION WINDOW

Open date: November 21, 2022

Next review date: Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Jun 30, 2023 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

POSITION DESCRIPTION

The University of California, San Diego invites applications for an Assistant Professor (tenure-track) in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.

Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.

We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.

Authorization to work in the U.S. is a precondition of employment.

QUALIFICATIONS

Basic qualifications (required at time of application)

PhD or Advancement to Candidacy in Data Science, Computer Science, Engineering, Linguistics, Mathematics/Statistics, or related discipline.

APPLICATION REQUIREMENTS

Document requirements

Cover Letter

Curriculum Vitae - Your most recently updated C.V.

Statement of Research

Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.

Statement of Teaching

Teaching Evaluations (Optional)

COVID-19 Impact Statement - We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and where applicable, to discuss your achievements in this light. (Optional)

Misc / Additional (Optional)

Reference requirements

3-5 letters of reference required

Apply link: https://apol-recruit.ucsd.edu/JPF03446

Help contact: d1dutson@ucsd.edu

CAMPUS INFORMATION

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all University controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.

JOB LOCATION

San Diego

ML/NLP Internship (6-month) with Thomson Reuters Labs London

Employer: Thomson Reuters
Title: Applied Research Intern, ML/NLP
Specialty: Machine Learning and Natural Language Processing
Location: London, UK
Deadline: When the job posting is no longer live
Date posted: November 28th, 2022
Contact for more info: Dell Zhang

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in London is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company's digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

The internship duration at Thomson Reuters Labs is typically up to six months and may be aligned with an academic semester or depending upon your availability. It can begin immediately.

About the role

As a data scientist/research scientist intern you will:

Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.
Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

About you

This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!

Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks.
Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy and HuggingFace.
Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines.
Have good communication skills and the ability to work collaboratively as part of a team.

What's in it for you

Learning & Development: On-the-job coaching & learning as well as the opportunity to work with cutting-edge methods and technologies.
Plenty of Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
Competitive Compensation: The opportunity to earn while learning new skills.

How to Apply

For further details and to apply, please follow the link of the job posting.

Postdoctoral Researcher: Natural language processing (Cognitive Computer Lab, AI Research Center, Jeonbuk National University, KR)

Employer: Jeonbuk National University
Title: Postdoctoral Researcher
Specialty: Natural Language Processing
Location: Jeonju, South Korea
Deadline: November 29, 2022
Date posted: November 17, 2022

We are recruiting for a postdoctoral researcher who can start to work as early as possible in 2023 (or December in 2022) for pursuing various hot topics in NLP & AI, such as Knowledge enhanced pretrained language models, Memory-augmented language models, Language & vision, Neuro symbolic approaches, symbolic knowledge extraction from pretrained models, etc.

The details of the job posting are below and the application deadline is 29th November 2022. If you'd like to check the details, please contact Prof. Seung-Hoon Na (nash@jbnu.ac.kr).

Job link: https://nlp.jbnu.ac.kr/announcement_postdoc.html

Contract: Initially one year, extendible to additional two years.

How to apply: Please send your CV and Google Scholar to nash@jbnu.ac.kr if interested.

Lectureship or Senior Lectureship in Natural Language Processing, University of Manchester, UK

Employer: Department of Computer Science, University of Mancheser, UK
Title: Lecturer or Senior Lecturer in Natural Language Processing
Specialty: Natural Language Processing
Location: Manchester, UK
Deadline: Nov 30, 2022
Date posted: Nov 4, 2022
Apply here: Full ad and job description
Contact: Prof. Sophia Ananiadou [9]

We offer a Lectureship or Senior Lectureship in Natural Language Processing at the Department of Computer Science at the University of Manchester, UK. The appointment will further strengthen the research profiles of the AI/NLP and text mining research groups at the University of Manchester and the growing activities in AI.

We are looking for an outstanding candidate who has a vision for making a significant impact on NLP research and its applications. You should have major strengths in core natural language processing and deep learning with emphasis in one or more of these areas: natural language generation, explainable NLP, multimodal conversational AI, multimodal social media analysis etc, in various domains, including health, medicine, digital humanities, finance, etc.

The successful candidate should have the following research profile:

Computer Science with emphasis in Natural Language Processing or equivalent relevant experience
Previous experience in research and development of NLP
Excellent knowledge of deep learning (e.g. generative models, weakly-supervised learning, transfer learning).
Familiarity with machine learning libraries (e.g. TensorFlow, PyTorch) and NLP libraries (e.g. spaCy, HuggingFace).
Knowledge and understanding of pre-trained language models (e.g. BERT and GPT)
Excellent English and academic writing skills.
Ability to conduct basic and independent research in NLP demonstrated by existing publications in journals and conferences such as ACL, EMNLP, NAACL, SIGIR, IJCAI, Coling, AAAI.
Demonstrate ability to write grant proposals.

Salary: Lecturer £38,592 to £53,353 per annum, depending on experience; Senior Lecturer £54,949 to £65,578 per annum, depending on experience

Hours: Full time

Duration: Permanent

Multiple Tenure-Track Positions in Information Science, Drexel University

Employer: Drexel University, Department of Information Science
Title: Assistant and/or Associate Professor levels
Specialty: Artificial Intelligence and Data Science
Location: Philadelphia, PA
Deadline: Nov 30, 2022 (for full consideration) or until filled
Date posted: Oct 31, 2022
Start date: Sept. 1, 2023
Apply here: Full ad and job description
Contact: Dr. Jake Ryland Williams

The Department of Information Science in Drexel University's College of Computing and Informatics invites applications for multiple tenure-track and tenured faculty positions at the Assistant Professor and Associate Professor levels in Artificial Intelligence (AI) and Data Science (DS). While all competitive applications in these areas will be considered, the IS Department particularly encourages:

AI applicants focused on use-inspired research, human-AI teaming, neuro-symbolic methods, and human language technologies; and
DS applicants focused on research in scalability, cloud-based technologies and crowd work, deep learning frameworks, and on data engineering for and with machine learning.

Applications are encouraged from candidates with interest in using their focus area(s) to solve socially relevant problems at the intersection of computer, data, and information sciences that are synergistic, mutually supportive, and leverage the strengths of our College, University, and greater geographic region. Within cover letters, candidates should justify how their research interests are complementary to current research of the department.

Applicants should submit a cover letter, CV/resume, list of references, and statements describing their research program and teaching interests. Applicants are encouraged to use teaching and research statements to reflect on their experiences in promoting diversity and inclusion. To be considered, applications must be submitted online through Drexel Careers. Please apply online at:

https://careers.drexel.edu/en-us/job/499765/assistant-professor-tenure-track-tenured-faculty-is-dept-in-artificial-intelligence-al-and-data-science

Evaluation of applications will be conducted on a rolling basis until all positions are filled. Applicants should apply by November 30th, 2022, for full consideration.

For inquiries, please contact Dr. Jake Ryland Williams (https://jakerylandwilliams.github.io/). Date posted: October 31, 2022

Assistant Professor in Computational Language Science, University of Florida Department of Linguistics

Employer: University of Florida, Department of Linguistics
Title: Assistant Professor
Specialty: Computational Language Science
Location: Gainesville, FL
Deadline: Nov 22, 2022 (for best consideration) or until filled
Date posted: Oct 12, 2022
Start date: Aug 16, 2023
Apply here: Full ad and job description
Contact: Dr. Ratree Wayland [10]

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational approaches to sociolinguistics, semantics, and pragmatics.

UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.

The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2023. Review of applications will begin on Nov 22, 2022 and will continue until the position is filled. The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.

Assistant Professor: Linguistics / Computational Linguistics (Tenure Track) (University of Illinois Chicago)

Employer: University of Illinois Chicago
Title: Assistant Professor
Specialty: Computational Linguistics
Location: Chicago, Illinois, USA
Deadline: January 2, 2023
Date posted: October 11, 2022

The University of Illinois Chicago Department of Linguistics invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023.

Responsibilities include pursuing an active research agenda, teaching courses in linguistics and computational linguistics, and contributing to the Department, the School of Literatures, Cultural Studies, and Linguistics, the university, and the community through service activities. The successful candidate will play an important role in the continued development of our CS + Linguistics program, which is a collaboration between the Department of Linguistics in the College of Liberal Arts and Sciences, and the Department of Computer Science in the College of Engineering.

Candidates must hold a Ph.D. in linguistics, computational linguistics, computer science, or a closely related field by August 15, 2023. ABD applicants may be considered.

To Apply:

For fullest consideration, candidates are strongly encouraged to submit their applications and all supporting materials at https://uic.csod.com/ux/ats/careersite/1/home/requisition/1475?c=uic by January 2, 2023.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters at https://www.hr.uillinois.edu/cms/one.aspx?portalId=4292&pageId=5705 to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify.

The university provides accommodations to applicants and employees. Request Accommodation at https://jobs.uic.edu/request-and-accomodation/

Postdoctoral Researcher: Text Generation & Information Extraction for Clinical Records (University of Glasgow, UK)

Employer: University of Glasgow
Title: Postdoctoral Research Associate
Specialty: Text Generation & Information Extraction
Location: Glasgow, United Kingdom
Deadline: November 29, 2022
Date posted: October 31, 2022

We are recruiting for an EPSRC New Horizons project looking at text generation for synthetic medical records and how they can be used as part of an information extraction system. We're excited to work with the team at NHS Safe Havens Greater Glasgow & Clyde to look at how NLP can help the NHS team get the best information out of medical records. This project is led by Dr Graham McDonald, Dr Jake Lever and Prof Iadh Ounis.

The details of the job posting are below and the application deadline is extended to 29th November 2022. If you'd like to chat about the details, please contact Jake Lever (jake.lever@glasgow.ac.uk).

Job link: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788

Postdoctoral Researcher: Natural Language Processing, Language+Vision (Penn State, PA)

Employer: Penn State University
Title: Postdoctoral Researcher
Specialty: Natural Language Processing, Language+Vision
Location: State College, PA
Deadline: December 31, 2022
Date posted: October 07, 2022

The LanguageX lab at Penn State (https://www.wenpengyin.org/languagex-lab), led by Prof. Wenpeng Yin, is looking for a postdoctoral researcher who can start to work as early as possible in 2023. The research area is flexible in Natural Language Processing (NLP), Language+Vision, or other language-driven AI problems.

Contract: two years with a competitive salary

Requirement: outstanding research record, such as your publications.

How to apply: Pls send your CV and Google Scholar to wyin.record@gmail.com if interested. Shortlist will be invited for interview.

IDEA Fellow: Ethical AI, Information Systems, and Data Science/Literacy (Stony Brook, NY)

Employer: Stony Brook University
Title: Lecturer
Specialty: Ethical AI, information systems, data science/literacy
Location: Stony Brook, NY
Deadline: October 17, 2022
Date posted: September 30, 2022

The Department of Linguistics at Stony Brook University is participating in a University-wide interdisciplinary hiring initiative, the IDEA (Inclusion, Diversity, Equity & Access) Fellows program. The full ad and job description are linked below. The overall initiative spans 5 key areas, and we specifically encourage applicants whose research interests are in "Ethical AI, Information Systems, and Data Science & Literacy".

Full ad and job description

This is a two-year lecturer position appointed at an annual salary of $80,000 with comprehensive state benefits, to commence in Fall 2023. The fellows will be part of a mentored research environment, with a modest teaching load. Multiple fellows will be hired across 5 thematic hiring areas. At the completion of this two-year position, fellows with an upward trajectory of scholarly achievement and a demonstrated contribution to inclusion, diversity, and equity will be invited to join the tenure-track faculty at Stony Brook University through an internal promotion process.

Candidates with PhDs (completed by the start date in Summer 2023) from all subfields whose interests and activities align with the IDEA Fellows program are encouraged to apply. The Department of Linguistics provides an excellent and collegial environment for research and scholarship.

Applications will be accepted until October 17, 2022.

Web Address for Applications: https://apply.interfolio.com/113220

Contact Information: Professor Lori Repetti lori.repetti@stonybrook.edu

Assistant Professor in Computational Linguistics (Montclair, NJ)

Employer: Montclair State University
Title: Assistant Professor
Specialty: Computational Linguistics
Location: Montclair, NJ
Deadline: The position is open until filled and application review begins immediately.
Date posted: September 10, 2022

The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023.

Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics. We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia. The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus. Link to submit your application: [ https://montclair.wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assistant-Professor-of-Linguistics--Computational-Linguistics_R1002553 ]

Further information about the department and the research interests of its faculty is available at [ http://www.montclair.edu/chss/linguistics/]

COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences, offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics. The Montclair State Linguistics Department faculty are all actively engaged in research.

THE UNIVERSITY Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment.

QUALIFICATIONS Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics.

DIVERSITY, EQUITY & INCLUSION STATEMENT Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen. As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students.

SALARY RANGE Commensurate with experience STARTING DATE September 1, 2023

REQUIRED MATERIALS:

Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process.
3 letters of recommendation, which can be sent to: lingsearch2022@montclair.edu

APPLY BY: The position is open until filled and application review begins immediately.

You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022@montclair.edu.

AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION

Postdoctoral fellow: Georgetown University Neuroscience of Language training program (Washington, DC)

Employer: Georgetown University
Title: Postdoctoral Fellow
Specialty: Neuroscience of Language
Location: Washington, DC
Deadline: Applications accepted on a rolling basis
Date posted: 20 July 2022

Georgetown University’s new Neuroscience of Language T32 training program is seeking postdoctoral fellows. The Neuroscience of Language program provides training in the brain basis of language, as well as sensory, motor, and cognitive systems as they pertain to language and communication. Georgetown has a number of faculty focused on Neuroscience of Language research, ranging from basic work on auditory or language processing (spoken, signed, and written language) to clinical trials in adults and children with brain injuries affecting language. Interactions with Georgetown’s highly regarded Linguistics Department, as well as Children’s National Hospital and MedStar National Rehabilitation Hospital, provide us with access to additional faculty and research populations and further enrich the training environment.

Individuals with doctoral degrees from any field related to Neuroscience of Language (Neuroscience, Cognitive Science, Linguistics, Psychology, Communication Disorders, etc.) are encouraged to apply. Fellows will be supported for two years and will develop an individualized training plan to provide expertise across disciplines important to Neuroscience of Language research. Fellows will take coursework as needed and will participate in a regular journal club and seminar series, clinical experiences, community engagement activities, and professional development activities, in addition to conducting research in the neuroscience of language. The overall goal of the program is to develop well-rounded scientists who have a broad perspective on basic and clinical Neuroscience of Language.

Fellows will work with one or more of the following investigators: Drs. Thomas Coate, Guinevere Eden, Rhonda Friedman, William Gaillard, Anna Greenwald, Xiong Jiang, Elissa Newport, Josef Rauschecker, Max Riesenhuber, Ella Striem-Amit, Ted Supalla, Peter Turkeltaub, and Michael Ullman. Collaborations among our faculty are common and a strength of our program.

Appointments are funded at standard NIH NRSA stipend rates, with an initial one-year term to be renewed for an additional year if fellows meet the program requirements.

U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all doctoral program requirements before starting the program are eligible to apply. Individuals from groups recognized to be underrepresented in the sciences are encouraged to apply.

Please submit the following application materials via the application form.

CV
Personal statement describing career goals, prior research, goals for postdoctoral training, and lab(s) of interest (3 pages)
Names and contact information for three references
Writing sample (manuscript or dissertation)

Contact Dr. Peter Turkeltaub (peter.turkeltaub@georgetown.edu) with any questions about the program or eligibility. Contact Rachel Galginaitis (rg1171@georgetown.edu) with questions about the application process.

Postdoctoral researcher in Explainable AI - and Medical Natural Language Processing (KU Leuven, Belgium)

Employer: KU Leuven – Katholieke Universiteit Leuven
Title: Postdoctoral Researcher
Specialty: NLP, Explainable AI, Argumentation, Clinical NLP
Location: Leuven, Belgium
Deadline: 31 July 2022
Date posted: 14 July 2022

We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification (e.g. diagnosis prediction) in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity. The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations). We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation. KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022).

Offer

We offer a research position for 2 years starting September 1 or the latest October 1, 2022.
We offer a competitive wage and yearly budget to attend conferences.
We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching.
Access to our deep learning cluster which contains the latest GPU hardware.

If interested,please apply the latest by July 31, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found.

Responsibilities

Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues.
Collaborate with the other European partners of the ANTIDOTE project.
Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses.

Profile

You have (or are near completion of) a master or PhD in Computer Science .
Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa.
You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus.
You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing.
You are good at collaborating with others.
You work proactively and independently and have good communication skills.
You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian).
You are highly motivated, ambitious and result-oriented.

For more information please contact Dr Damien Sileo mail: damien.sileo@kuleuven.be or Prof. Dr. Marie-Francine Moens, mail: sien.moens@kuleuven.be with [XAI22] in your e-mail subject and a CV.

Research Fellow in Natural Language Processing (AI Research Center, Japan)

Employer: AIRC, Japan
Title: Research Fellow in Natural Language Processing
Specialty: NLP, neural information extraction, deep learning
Location: Tokyo, Japan
Deadline: 15 July 2022
Date posted: 14 June 2022
Contact: Prof. Sophia Ananiadou sophia.ananiadou@manchester.ac.uk, Prof. Makoto Miwa makoto-miwa@toyota-ti.ac.jp

This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.

Essential knowledge, skills and experience:

A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
Fluent in English with excellent academic writing skills.

Duration: full time position, 24 months, with possibility of extension.

Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.

Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.

To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.

Deadline for applications: 15/07/2022.

Postdoctoral Researcher in NLP, University of Southampton, United Kingdom

Employer: University of Southampton
Title: Research Fellow in Natural Language Processing
Specialty: NLP, Computational Linguistics
Location: Southampton, United Kingdom
Deadline: 26th June 2022
Date posted: 6th June 2022
Duration: 24 months
Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1562021FP-2R
Contact: Stuart Middleton

You will join our team working on deep learning-based Natural Language Processing (NLP) models for behaviour classification as part of the ProTechThem (Building Awareness for Safer and Technology-Savvy Sharenting) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the UKRI Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).

The ProTechThem project (www.protechthem.org) is exploring how criminology and computer science can enable better targeted awareness-raising activities and to improve the tools we currently have to study, prevent and mitigate the negative impacts of sharenting practices. Sharenting is the sharing of identifying and sensitive information of minors and can introduce significant risks including negative psychological repercussions and pathways to child abuse and identity fraud/theft.

We are looking for applicants who have experience with deep learning-based NLP models and are interested in adapting this experience to the area of text classification and information extraction. Your role will be to research and develop deep learning-based NLP models for risky behaviour classification applied to short and long online conversations on forums and social media. Sharenting is an interesting domain with emergent vocabulary, so you will have the opportunity to gain experience with NLP methods that can work with limited training resources and human-in-the-loop training regimes.

PhD Position “Computer Science: Natural Language Processing & Semantic Web Technologies” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany

Employer: TIB – Leibniz Information Centre for Science and Technology and University Library
Title: PhD Candidate
Specialty: NLP, Computational Linguistics, Software Engineering, Computer Science
Location: Hannover, Germany
Deadline: 30 June 2022
Date posted: 31 May 2022

Description

The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for building and maintaining the ORKG data ingestion and processing pipelines to ensure the flow of high-quality semantified resources from publications. Your main responsibility in this position will be to build scalable solutions that crawl, ingest, process publications, and thereby enrich the ORKG. You will work alongside the ORKG engineering team to set up the AI/NLP ecosphere.

Your tasks will focus on

Working in the areas of Natural Language Processing (text mining, information extraction, information retrieval/search) and Machine Learning of scholarly communication media (digital) data.
Identifying and implementing the tools and algorithms appropriate for Natural Language Processing assignments to enhance the NLP system currently in place.
Conceptually designing, modeling, and implementing data-driven services for information retrieval and extraction, data enrichment, and linking of data.
Carrying out evaluation experiments and training the developed model.

Web Address for Applications: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-31-2022

Contact: Dr. Jennifer D'Souza jennifer.dsouza@tib.eu

PhD Position “Computer Science: Computational Linguistics & Corpus Annotation” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany

Employer: TIB – Leibniz Information Centre for Science and Technology and University Library
Title: PhD Candidate
Specialty: NLP, Computational linguistics, Corpora annotation
Location: Hannover, Germany
Deadline: 30 June 2022
Date posted: 31 May 2022

Description

The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for conducting independent and original scientific research involving corpus development and annotation in organizing research contributions in the ORKG in a structured, semantic way, so other researchers can get a quick overview on the state-of-the-art in the field. You will participate in local, national and international collaboration activities. Given the multidisciplinary nature of the programme, we encourage applicants with a strong curiosity and interest in Science to apply.

Your tasks will focus on

Collaborating with researchers from different disciplines to gain familiarity with research problems and their contribution descriptions expressed in scholarly literature.
Conceptually designing, modelling and implementing ontology-based knowledge representations for crowdsourcing of the Open Research Knowledge Graph.
Annotation and curation of multidisciplinary scholarly contribution descriptions.

Web Address for Applications: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-32-2022

Contact: Dr. Jennifer D'Souza jennifer.dsouza@tib.eu

Research Associate in Online Toxicity Mitigation (Heriot-Watt University, Edinburgh UK)

Employer: Heriot-Watt University
Title: Research Associate in Online Toxicity Mitigation
Specialty: NLP, Conversational AI, deep learning
Location: Edinburgh, UK
Deadline: 22 July 2022
Date posted: 23 May 2022
Contact: Prof. Verena Rieser v.t.rieser@hw.ac.uk

This is an exciting opportunity to work within multi-disciplinary team to develop novel toxicity mitigation techniques for a project funded by the UK Research Council EPSRC on Detection and Mitigation of online Gender Based Violence. You will be working with teams of researchers working in NLP, Social Science and Education. The project is hosted at the Interaction Lab ([11]), one of the biggest research groups in Conversational AI, and is in collaboration with the University of Edinburgh and third sector charities specialising in online abuse and GBV. The post is available for three years. We are looking for candidates with expertise in neural approaches to natural language generation, or closely related fields, with a proven publication track record in ACL* venues etc.

Essential knowledge, skills and experience:

Experience (at PhD level) in Natural Language Processing, Machine Learning or closely related fields
Evidence of a publication record in the aforementioned areas.
Excellent programming skills, and familiarity Deep Learning frameworks.
Fluent in English with excellent academic writing skills.

Duration: full-time position, 12-36 months.

Salary: in the range of £33,300 - £40,900 per year, depending on experience and qualifications.

Location of appointment: Heriot-Watt University, Edinburgh, UK

To apply, please email follow instructions here: [12]

Informal enquiries can be directed to Prof. Verena Rieser v.t.rieser@hw.ac.uk

Deadline for applications: 22/07/2022.

Research Fellow in Natural Language Processing (AI Research Center, Japan)

Employer: AIRC, Japan
Title: Research Fellow in Natural Language Processing
Specialty: NLP, neural information extraction, deep learning
Location: Tokyo, Japan
Deadline: 31 May 2022
Date posted: 3 May 2022
Contact: Prof. Sophia Ananiadou sophia.ananiadou@manchester.ac.uk, Prof. Makoto Miwa makoto-miwa@toyota-ti.ac.jp

This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.

Essential knowledge, skills and experience:

A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
Fluent in English with excellent academic writing skills.

Duration: full time position, 24 months, with possibility of extension.

Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.

Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.

To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.

Deadline for applications: 31/05/2022.

Permanent research position in NLP at the Norwegian Computing Center, Oslo, Norway

Employer: Norwegian Computing Center (NR), Oslo, Norway
Title: Research Scientist
Specialty: NLP, Language Technology, Computational Linguistics, Machine Learning
Location: Oslo, Norway
Deadline: Open-ended
Date posted: March 31, 2022
Contact: plison@nr.no

We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 52 researchers.

The researcher will be expected to participate in several research projects. In particular, we are currently leading a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.

You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.

Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.

For more information, please visit the application website.

We offer:
We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.

The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.

About us:
Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.

The institute has 98 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.

Summer grad student paid intern in NLP, Florida Institute for Human & Machine Cognition, Florida, USA

Employer: Florida Institute for Human & Machine Cognition
Title: Summer grad student intern in NLP and multilingual adaptation
Specialty: NLP, Computational Linguistics
Location: Pensacola/Ocala Florida (may work remotely)
Deadline: March 15, 2022 (for best consideration)
Date posted: February 28, 2022
Duration: 3 months (approx. May 16 – Aug 15)
Contact: Brodie Mather (bmather@ihmc.org)
Eligibility: US Citizen
Remote options available

The Florida Institute for Human and Machine Cognition (ihmc.org) invites applications for a paid student research position on a 3-month summer project (approximately mid May through mid August) to develop multi-disciplinary technology for novel approaches to multilingual adaptation that transcends practices used today for natural language processing (NLP). It is expected that this project will lead to advanced study and/or a dissertation topic in areas such as computational linguistics and social science. If you are interested in this opportunity, please send a resume and cover letter to Brodie Mather (bmather@ihmc.org). US Citizenship required. Remote options available.

Requirements: We seek students with a background in computer science who also have an interest and (preferably) experience in one of: computational linguistics, natural language processing tools, machine learning, or a related discipline.
General requirements: The successful candidate is a student in a PhD or Masters program in one of the aforementioned areas with a strong interest in doing research, and with excellent writing skills. In addition, the candidate has proven experience with developing computational techniques and models from unstructured data.

What we offer: Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. Our human-centered approach often results in systems that can be regarded as cognitive, physical, or perceptual in nature. Research in such areas requires a broader interdisciplinary range than is typically found in one organization. Thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, linguists, physicians, philosophers, engineers and social scientists of various stripes, as well as some people who resist all attempts to classify them.

Applications are sent to Brodie Mather (bmather@ihmc.org) and must include: (1) A cover letter (maximum two pages); (2) Curriculum Vitae; (3) Names of two references. Applications will be accepted until the position is closed; apply by March 15 for best consideration.

PhD Fellowship in Privacy-Enhancing NLP (University of Oslo, Norway)

Employer: Language Technology Group (LTG), University of Oslo
Title: PhD Research Fellow (3 or 4 years)
Specialty: Natural Language Processing, Data Privacy
Location: Oslo, Norway
Deadline: February 28, 2022
Date posted: February 2, 2022
Start date: No later than October 1, 2022
Application details: https://www.jobbnorge.no/en/available-jobs/job/219713/phd-research-fellow-in-privacy-enhancing-nlp
Contact: Pierre Lison plison@nr.no

Text documents often include personal data in one form or another (for instance clinical notes or court judgments). As stipulated by privacy regulations such as GDPR, personal information cannot typically be shared to third parties without the informed consent of the registered individuals. An alternative is to anonymize the data; that is, to edit the documents such as to mask all (direct or indirect) personal identifiers. However, the task of text anonymization remains an open problem and an active research area in Natural Language Processing. The successful candidate for this PhD fellowship position will contribute to research in the field of Privacy-Enhancing NLP. Areas of special interest are text anonymization and the development of automated adversaries to evaluate the robustness of anonymization methods against re-identification attacks.

The fellowship position is located at the Department of Informatics, and specifically in the Language Technology Group (LTG). LTG conducts research on a broad range of NLP topics including semantic parsing, sentiment analysis, text anonymization and large-scale language modeling. While the research profile of the group is heavily machine-learning oriented, projects conducted at LTG typically combine data-driven approaches with an interest for linguistic analysis and insight.

The PhD fellowship will be part of a collaboration with the research group on Digital Security (SEC), which works on different topics within information security, including cyber threat intelligence, ethical hacking, data privacy and post-quantum cryptography. The SEC research group collaborates with external partners with heightened security requirements. Therefore, applicants to this position must be able to receive Norwegian security clearance.

The PhD will be co-supervised by Pierre Lison (LTG) and Nils Gruschka (SEC).

PhD scholarship in NLP and Second Language Acquisition (Univ. of Lisbon, Tübingen Univ, Lancaster Univ.)

Employer: Linguistics Center of the University of Lisbon (CLUL)
Title: PhD (3 years)
Specialty: Natural Language Processing and Second Language Acquisition, ICALL
Location: Lisbon, Portugal
Deadline: February 28, 2022
Date posted: January 31, 2022
Start date: April 1, 2022
Application details: https://euraxess.ec.europa.eu/jobs/733640
Contact: Amália Mendes amaliamendes@letras.ulisboa.pt, Detmar Meurers detmar.meuers@uni-tuebingen.de, Patrick Rebuschat p.rebuschat@lancaster.ac.uk

Applications are invited for a three-year PhD position in Natural Language Processing applied to foreign language learning and teaching at the Linguistics Center of the University of Lisbon (CLUL). The deadline for applications is February 28, 2022. For additional information, including salary and application details, please visit: https://euraxess.ec.europa.eu/jobs/733640

The aim of the PhD project is to research, develop and evaluate a digital tool supporting the acquisition of Portuguese as a Foreign or Heritage language. The work can build on the existing ICALL approaches developed at the University of Tübingen for English and German (http://icall-research.de). The goal is to support learners in selecting texts that support noticing of key target structures and provide practice opportunities. The computational linguistic analysis can build on recent findings about linguistic structures that are acquired late by heritage speakers of Portuguese and include an empirical validation in the context of the network maintained by the Camões Institute across the globe.

The PhD project will be co-supervised by Professor Amália Mendes (University of Lisbon), Professor Detmar Meurers (University of Tübingen), and Professor Patrick Rebuschat (Lancaster University). The successful applicant will be integrated in the Heritage Language Consortium (HL2C), a strategic partnership between six European universities and the Camões Institute, a branch of the Portuguese Ministry of Foreign Affairs. Further details on the HL2C can be found on our website: http://wp.lancs.ac.uk/heritage-language/

Postdoctoral Associate in Natural Language Processing, University of Florida, Dept of Computer & Information Science & Engineering (CISE)

Employer: University of Florida, Dept of Computer & Information Science & Engineering (CISE)
Title: Postdoctoral Associate (2 years with possibility of an extension)
Specialty: Natural Language Processing and AI
Location: Gainesville, FL
Deadline: Jan 5, 2022 (for best consideration) or until filled
Date posted: Dec 17, 2021
Start date: Feb 2022 through late spring or early summer [THIS POSITION HAS BEEN FILLED]
Apply here: https://explore.jobs.ufl.edu/cw/en-us/job/519571/postdoc-associate
Contact: Dr. Bonnie Dorr bonniejdorr@ufl.edu

The University of Florida invites applications for a postdoctoral associate appointment in natural language processing, beginning late spring or early summer of 2022. Will explore, design, and implement innovative approaches to tackling real-world problems in social computing, semantic analysis, and multilingual applications, with an eye toward explainability in artificial intelligence solutions, coinciding with UF’s recent commitment to a university-wide artificial intelligence initiative (https://ai.ufl.edu/). UF CISE is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions. More details and application submission instructions are provided at the “Apply here” link above. Review of applications will begin on Jan 5, 2022 and will continue until the position is filled. To ensure full consideration applications should be completed by that date.

6 Lectureships (Assistand Professors) in School of Computing, University of Leeds, United Kingdom

Employer: University of Leeds
Title: Lecturer (aka Assistant Professor
Specialty: NLP, Computational Linguistics
Location: Leeds, Yorkshire, United Kingdom
Deadline: 10th Jan 2022
Date posted: 9th Dec 2021
Duration: permanent
Details and application forms at: https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1079 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1080 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1081 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1082 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1083 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1084
Contact: Andy Bulpitt

Faculty position (open rank) in Computational Linguistics/Natural Language Processing at Yale University

Employer: Department of Linguistics at Yale University
Assistant, Associate or Full Professor
Specialty: Computational Linguistics
Location: New Haven, CT
Deadline: November 30, 2021 (review of application begins)
Date posted: November 8, 2021
Apply here: https://apply.interfolio.com/96373
Contact: Bob Frank

Yale University seeks to make an open rank faculty appointment in the area of Computational Linguistics/Natural Language Processing (NLP), to begin in Fall 2022. The selected scholar will have a primary appointment in the Department of Linguistics, with a secondary appointment in either the Department of Statistics & Data Science or the Department of Computer Science. They will teach both introductory and advanced courses in Computational Linguistics/NLP at the undergraduate and graduate levels, and advise student research. This position is part of the university’s commitment to expansion in the area of integrative data science.

The selected candidate will have a highly productive and visible research program that engages with both the linguistics and NLP/machine learning communities. Applicants at the senior level should have demonstrated excellence in teaching and advising. A PhD or equivalent degree in a relevant discipline is required at the time of hire.

Yale University is an Affirmative Action/Equal Opportunity Employer, and we especially encourage applications from women, persons with disabilities, protected veterans, and members of underrepresented minority groups.

Assistant Professor of Teaching, Computational Linguistics (tenure-track) at UBC

Employer: Department of Linguistics at the University of British Columbia
Assistant Professor of Teaching
Specialty: Computational Linguistics
Location: Vancouver, British Columbia
Deadline: December 10, 2021
Date posted: November 8, 2021
Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-teach-cl/

The Department of Linguistics at the University of British Columbia, Vancouver, invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor of Teaching. The successful candidate will be joining the team of faculty and staff who run UBC’s Master of Data Science – Computational Linguistics program. For details on this program, see https://masterdatascience.ubc.ca/programs/computational-linguistics/.

The rank of Assistant Professor of Teaching is a classification within what UBC terms the “Educational Leadership” stream. The primary responsibilities of this position involve teaching and educational leadership, rather than research. Specific information on the Educational Leadership stream at UBC can be found at the following link: http://ctlt.ubc.ca/programs/all-our-programs/teaching-and-educational-leadership/.

The successful candidate will be expected to maintain an active program of excellent (1) teaching, which will include a variety of courses, mostly at the graduate level within the Master of Data Science – Computational Linguistics program, but potentially also outside the program at the undergraduate level (2) educational leadership, especially in the area of curriculum or program development, and (3) service (typical service includes participating in departmental meetings, serving on select departmental/faculty/university committees, and advising graduate students)

Assistant Professor, Computational Linguistics (tenure-track) at UBC

Employer: Department of Linguistics at the University of British Columbia
Assistant Professor
Specialty: Computational Linguistics
Location: Vancouver, British Columbia
Deadline: December 10, 2021
Date posted: November 8, 2021
Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-cl/

The Department of Linguistics at the University of British Columbia invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor.

Candidates must have a Ph.D. in Linguistics, Computer Science or a closely related field and have demonstrable expertise in speech technology, in the context of speech and language processing or computational linguistics. We especially encourage applicants who embrace a multifaceted approach to speech processing, for example combining methods and insights from speech technology with more traditional linguistic inquiry. The candidate will have a record of or potential for high-quality research and teaching at the graduate and undergraduate levels in speech technology (incorporating machine learning), plus at least one of the following areas: NLP; computational phonology, phonetics or morphology; computational approaches to low-resource languages.

The Department of Linguistics at UBC has recently established a new professional Master of Data Science program dedicated to Computational Linguistics. The successful candidate will teach and supervise graduate students in the MDS-CL and Linguistics programs, as well as in the undergraduate Linguistics and Speech Sciences programs. Experience in the tech industry is an asset but not a requirement. This position also offers the opportunity for membership in multiple interdisciplinary groups — including the Artificial Intelligence Methods for Scientific Impact (AIM-SI) research cluster (part of the Centre for AI Decision-making and Action), as well as UBC’s Language Sciences Institute.

Research Scientist, Natural Language Processing at Educational Testing Service, Princeton, NJ

Employer: Educational Testing Service
Title: Research Scientist, Natural Languge Processing
Specialty: Computational Linguistics
Location: Princeton, NJ
Deadline: Until filled
Date posted: Oct 6, 2021
Apply here: https://bit.ly/2ZP1VjD

Educational Testing Service (ETS), headquartered in Princeton, NJ, is seeking a Natural Language Processing, speech, or spoken dialog systems Research Scientist in the Learning and Assessment Foundations and Innovations (LAFI) Center.

You will join a team that is exploring ways to assess and improve speech and literacy skills and conduct research that will inform personalized learning solutions. Working on foundational research designed to make scientific advances in the field and on applied research that informs the development of practical classroom solutions, you will:

Research, develop and evaluate novel speech and text processing algorithms for educational applications.
Conceptualize, propose, obtain funding for, and direct projects which may include foundational and applied research projects and development of tools and research prototypes that make use of speech and NLP technologies.
Document and disseminate results of research and/or development projects through publications and presentations.

Requirements:

Ph.D. in Engineering, Computer Science, Natural Language Processing, Computational Linguistics, or similar area, with a focus on speech or spoken dialog systems preferred.
Published state-of-the-art NLP methods and have strong software engineering skills.
Research and/or development experience in speech or language processing.
Expertise with NLP systems and fluency in one major programming language (e.g., Python or Java)

Why ETS?

ETS believes in the life-changing power of learning. For more than 70 years, the vision of what’s possible when all people can improve their lives through education has driven our commitment to quality, equity and fairness. Founded as a nonprofit in 1947, ETS develops, administers and scores tens of millions of tests annually — including the TOEFL® and TOEIC® tests, the GRE® tests and The Praxis Series® assessments. But we are so much more than the tests we deliver. With our mission to advance quality and equity in education in mind, we also deliver groundbreaking research and learning solutions to help a broad spectrum of stakeholders understand what’s possible and identify the steps to get there. ETS’s staff members are passionate about using their wide-ranging expertise to improve teaching and learning.

EDUCATIONAL TESTING SERVICE requires all new hires to either certify that they have been fully vaccinated or request and obtain an exemption due to medical or religious reasons by their start date.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.

EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.

EDUCATIONAL TESTING SERVICE is a Drug-free workplace.

Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics

Employer: University of Florida, Department of Linguistics
Title: Assistant Professor
Specialty: Computational Language Science AI
Location: Gainesville, FL
Deadline: Nov 22, 2021 (for best consideration) or until filled
Date posted: Sep 29, 2021
Start date: Aug 16, 2022
Apply here: https://apply.interfolio.com/95755
Contact: Dr. Stephanie Wulff swulff@ufl.edu

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2022. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational linguistics, sociolinguistics, neuro/psycholinguistics, corpus linguistics, computational semantics, phonetics, and/or phonology.

UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.

The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2022. Review of applications will begin on Nov 22, 2021 and will continue until the position is filled. UF Linguistics is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions.

Postdoc Position in Computational Social Science at ETH Zurich

Employer: The Law, Economics, and Data Science Group at ETH Zurich
Title: Postdoc
Specialty: Computational social science
Location: Zurich, Switzerland
Deadline: December 1, 2021
Date posted: September 30, 2021
Contact for more info: Elliott Ash

PhD/Postdoc Position in Computational Linguistics at Tübingen University

Employer: The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen
Title: PhD/Postdoc
Specialty: any subarea of computational linguistics
Location: Tübingen, Germany
Deadline: November 1, 2021
Date posted: September 20, 2021
Contact for more info: acl-jobs@sfs.uni-tuebingen.de

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist with a specialization in any subarea of computational linguistics.

Duties for this post include teaching one course in computational linguistics per semester (with English as the language of instruction), independent research, and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894.

The starting date for the position is January 1, 2022. The period of appointment is for three years.

The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.

Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references. Applications should be sent by November 1, 2021 to acl-jobs@sfs.uni-tuebingen.de.

The University of Tübingen wishes to increase the proportion of women in research and teaching. Individuals with disabilities are strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

15 Fully-Funded PhDs at University of Essex for 2022 Start

Employer: School of CSEE, University of Essex
Title: PhD
Specialty: Deep Learning for NLP, Information Extraction, Coreference Resolution, Conversational AI, Low resource learning
Location: Colchester, UK
Deadline: 28th September 2021
Contact: Juntao Yu

Interested in doing a PhD in the Natural language processing?

The School of Computer Science and Electronic Engineering (CSEE), University of Essex, is delighted to announce 15 fully funded PhD Studentships covering Home fees of (£5,360 for 2021-22) plus stipend. Stipends will match standard EPSRC rates (£15,609 for 2021-22). Studentships are for a period of 3 years and start from 25 April 2022.

EU and International candidates are welcome (Please contact me for more details about options to cover the additional international fees). If you want to do a PhD with me in natural language processing, please to get in touch with me. The application closes on the 28th of September.

Here are some example PhD topics:

Coreference Aware Conversational agents
Out-of- KB Entities Representation for Entity Linking
Training Data Generating with Contextual Language Models

By doing PhD with me you will also get opportunities to collaborate with researchers from our collaborators (e.g. Google, IBM and Prof. Massimo Poesio’s research group at Queen Mary University of London)

All applications needs to be submitted though the link

Two machine learning faculty positions at AUEB, Dept. of Informatics, Athens, Greece

Two faculty positions at the Athens University of Economics and Business (AUEB), Dept. of Informatics, Athens, Greece:

Associate Professor, Machine Learning. Seeking candidates working mainly on the theoretical analysis and design of ML algorithms (to a lesser extent ML applications), esp. algorithms for deep learning, with publications in top-tier ML venues (e.g., JMLR, NeurIPS, ICML). https://service-apella.grnet.gr/apella/ui/positions/22554
Assistant Professor, Machine Learning in Information Retrieval and Data Mining for Large Document Collections. Seeking candidates working in the intersection of ML (esp. deep learning) with at least one (ideally several) of: IR, NLP, data mining, document intelligence (incl. semi-structured and multimedia docs), with publications in top-tier respective venues (e.g., NeurIPS, ICML, SIGIR, *ACL/EMNLP, KDD). https://service-apella.grnet.gr/apella/ui/positions/22550

For both positions: Deadline Sept. 13, 2021. Fluency in Greek (C1 level) required. Opportunities to cooperate with AUEB colleagues/groups working in related areas (e.g., ML, IR, NLP, data mining, big data, data science, distributed processing, computer graphics, computer vision) and/or to start your own group, to participate in research projects and proposals, teach undergraduate and graduate related courses (e.g., in our MSc programs in CS, Data Science, Information Systems), collaborate with a vibrant ecosystem of ML-related startups in Athens, while enjoying life in Greece.

For informal queries contact Prof. Ion Androutsopoulos (http://www.aueb.gr/users/ion/, ion@aueb.gr). Date posted: July 10, 2021.

Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK

Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
Title: Postdoctoral Researcher
Speciality: NLP, neural information extracttion
Location: DTU, Copenhagen
Deadline: 15th August 2021
Date posted: 6th July 2021
Contact: Evelyn Travnik [13] and Prof. Sophia Ananiadou [14]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development and natural language processing to carry out research and development into a new state-of-the-art informatics platform.

Work carried out will directly support approximately 300 world class scientists in Copenhagen and San Diego in their quest for development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc.

Tasks will include:

Developing new algorithms for relation extraction and summarisation (extractive, abstractive), using (semi)-supervised and unsupervised techniques, transfer learning and distant supervision from the scientific literature
Evaluating and improving the performance of NLP models and validate the accuracy of extracted knowledge
Working closely with a software engineering team to translate best-performing techniques into production
Supporting and leading graduate and undergraduate students, as well as summer interns in NLP

Although the position is located at DTU Biosustain, the NLP research will be mentored by Associate Scientific Director, Prof. Sophia Ananiadou. Sophia is also the Director of the National Centre for Text Mining (NaCTeM), Department of Computer Science at The University of Manchester, UK. The successful candidates will benefit from the vibrant research environments of both DTU Biosustain and NaCTeM.

Contract Duration: Fixed term until 31st December 2023

For further information and to apply, please visit: https://www.biosustain.dtu.dk/about/job/job?id=d0edfb0f-376b-4e2a-a1da-d8fb7ed37a9b

Staff AI Research Scientist at Element AI, a ServiceNow Company

Employer: ServiceNow
Title: Staff AI Research Scientist (IC4)
Specialty: Natural Language Processing, Low-Data Learning, Large Language Models
Location: Montreal or Toronto, Canada (possibility of remote work)
Deadline: When the job posting is no longer live
Date posted: June 29th, 2021
Contact for more info: David.Vazquez@servicenow.com
Job posting and how to apply

Do you want to further your research efforts in a dynamic team with a proven track record of publications? Element AI, a ServiceNow company is the AI research arm of ServiceNow, a major (and still growing!) player in the enterprise software business. We are a trusted partner for developing innovations of all kinds that help people organize better. We make the world of work, work better for people.

We are currently looking to hire somebody doing research in natural language processing to collaborate within the Low-Data Learning team. Come work with us if you are ready to lead your own research initiatives surrounded by like-minded people in a group that truly understands and want to tackle the challenges of publishing in the field of AI.

Follow the link of the job posting for more details.

Research Associate position in NLP, National Centre for Text Mining, University of Manchester, UK

Employer: National Centre for Text Mining, University of Manchester, UK
Title: Research Fellow
Specialty: Natural Language Processing, Text Mining
Location: Manchester, UK
Deadline: July 6, 2021
Date posted: June 23, 2021
Contact: Sophia.ananiadou@manchester.ac.uk

The University of Manchester invites applications for one Research Associate in Natural Language Processing/Text Mining to undertake research in the area of natural language processing with emphasis on fact checking and verification for health applications. The post is available immediately and will be tenable on a fixed term basis until 31st July 2022. The candidate will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science, located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).

You will join the National Centre for Text Mining, a leading centre in text mining. You should have a PhD or about to complete a PhD or equivalent experience in Computer Science with an emphasis on Natural Language Processing, good knowledge of graph-based NLP, excellent programming skills to allow implementation of new NLP algorithms and a track record of publications in conferences and journals.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.

Blended working arrangements may be considered.

Salary: £32,816 to £34,804 per annum according to relevant experience
Employment type: Fixed Term
Hours per week: Full time
Contract Duration: starting as soon as possible until 31 July 2022

For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20395.

Postdoctoral Researcher in NLP, University of Southampton, United Kingdom

Employer: University of Southampton
Title: Research Fellow in Natural Language Processing
Specialty: NLP
Location: Southampton, United Kingdom
Deadline: 21st July 2021
Date posted: 18th June 2021
Duration: 24 months
Contact: Stuart Middleton sem03@soton.ac.uk

Role

You will join our team working on deep learning-based Natural Language Processing (NLP) models for data rescue as part of the GloSAT (Global Surface Air Temperature) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).

The GloSAT project (www.glosat.org) is addressing uncertainties of climate change models using a combination of data rescue from historical documents to improve climate measurement data records, and improved climate change models making use of these improved records. An important aspect of data rescue is information extraction from typed and handwritten historical ship and land measurement station logbooks.

Your role will be to develop deep learning-based NLP models which can operate alongside a major citizen science site (rainfallrescue.org). You will explore novel NLP models for information extraction of tabular measurement data and semantic labels from a large text corpus originating from a GloSAT pipeline of table structure and optical character recognition tools. The GloSAT project has access to 100,000's of manually annotated data tables from the rainfall rescue citizen science site. You will explore how NLP models can be pre-trained using this corpus and then iteratively fine-tuned using human-in-the-loop active learning and/or adversarial training using dynamic citizen science annotations.

You will work in the context of a research partnership between the University of Southampton and UK research institutions including the National Oceanography Centre (NOC) and UK Met Office. To be successful you will have a PhD* or equivalent professional qualifications and experience in natural language processing, artificial intelligence or a closely related subject and have experience of information extraction. In addition to research, an important part of the role is to interact with project partners, and to become familiar with the environmental science domain.

Further Details and Application

Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1395221FP

Postdoc in Neural NLG at Ohio State

Employer: The Ohio State University
Title: Postdoctoral Scholar
Specialty: Computational Linguistics, Natural Language Generation, Discourse and Dialogue
Location: Columbus, Ohio, USA
Date posted: 29th May, 2021
Contact: Michael White (https://u.osu.edu/mwhite)

Please see this post (https://u.osu.edu/white.1240/2021/05/29/looking-for-another-postdoc-to-work-on-coherence-and-correctness-in-neural-nlg/) for details. Applications received by June 15 will receive full consideration.

Postdoctoral Associate, Reading, Eye tracking, and Computational Modeling, University at Albany, State University of New York, USA

Employer: University at Albany, SUNY, USA
Title: Postdoctoral Associate
Specialty: Cognitive Science, Cognitive Psychology, Computational Linguistics, Cognitive Neuroscience, or related field
Location: Albany, New York
Date posted: 24th May, 2021
Contact: Heather Sheridan

The Visual Cognition Lab (https://visualcognitionlab.com/) is hiring a postdoc (2-3 years) with strong quantitative skills to work with Dr. Heather Sheridan at the University at Albany, SUNY, on an NIMH-funded project in collaboration with Columbia University (1R01 MH121449-01A1: Neural Mechanisms of Reading Dysfunction in Schizophrenia). The successful candidate will use computational modeling to study the cognitive and neural mechanisms underlying reading fluency impairments in Schizophrenia, as well as the link between literacy skills and functional outcomes. The candidate will also have the opportunity to combine their modeling work with empirical projects that integrate eye tracking methodology with both neurophysiological (EEG/ERPs) and fMRI-based studies of individual differences during reading. The start date of the position is flexible and could be anytime during the summer or fall of 2021. The position is open until filled (for full consideration, apply by June 1, 2021).

Qualifications

A PhD degree received within the past three years
Strong quantitative skills, curiosity, creativity, and a desire to learn
Prior experience with computer programming (in any language)
Applicants must address in their application their ability to work with a culturally diverse population

Duration of the position
Funding is available for 2 to 3 years

Start date: Summer or Fall of 2021

How to Apply: Interested candidates should apply online by uploading their cover letter, CV and the contact information for 3 references.

Postdoctoral Scholar, Language Learning in Children, Carnegie Mellon University, USA

Employer: Carnegie Mellon University, USA
Title: Postdoctoral Scholar
Specialty: Cognitive Science, Computational Linguistics or related field
Location: Pittsburgh, PA
Date posted: 18th May, 2021
Contact: Leila Wehbe

Dr. Anna Fisher (CMU, Psychology Department) and Dr. Leila Wehbe (CMU, Machine Learning Department & Neuroscience Institute) are seeking a post-doctoral scholar to work on a joint project examining how features of linguistic input contribute to the acquisition of semantic knowledge in children. The selected candidate will work in a vibrant and collaborative environment with many opportunities for growth and learning, and will have access to excellent resources at CMU.

Skills & Qualifications

PhD in cognitive science, computational linguistics, or related field is required.
Experience analyzing linguistic corpora and using computational modeling approaches (e.g., neural networks, distributional modeling in vector spaces, probabilistic approaches) and implementation tools (e.g., PyTorch, Tensorflow) to investigate phenomena in language and cognition are required.
Experience and/or coursework in neuroscience, developmental psychology, data science and/or related fields is highly desirable.
Experience conducting experimental research with human participants (especially children) is desirable.
Record of publishing in the field of NLP/Computational linguistics and/or Cognitive Science is a plus, as is previous experience with grant applications.

Duration of the position
Guaranteed funding is available for one year, with possibility of continuing the position pending satisfactory performance and availability of funding.

Starting date: Summer 2021

How to Apply:Interested individuals should apply online (position # 2016291) by submitting their CV and names of 2 people who can provide references.

Carnegie Mellon University is an Equal Opportunity Employer and we strongly encourage applications from members of underrepresented groups.

Postdoctoral Researcher in Cardiff, UK

Employer: Cardiff University, UK
Title: Postdoctoral Research Associate
Specialty: NLP
Location: Cardiff, UK
Deadline: 31st May, 2021
Date posted: 14th May, 2021
Contact: Steven Schockaert

An exciting opportunity has arisen to join the School of Computer Science and Informatics as a Research Associate working on a new project titled ‘Encyclopedic Lexical Representations for Natural Language Processing’. This project is funded by EPSRC and is due to start on 1 August 2021.

The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Natural Language Processing. Specifically, the aim of this post will be to learn vector space embeddings that capture fine-grained knowledge about concepts. Different from existing approaches, these representations will explicitly represent the properties of, and relationships between concepts. Vectors in the proposed framework will thus intuitively play the role of facts, about which we can reason in a principled way. You will work closely with Steven Schockaert and Luis Espinosa Anke. You will possess or be near the completion of a PhD in Computer Science or a related area or have relevant industrial experience.

This is a full-time position for a period of three years. To apply, go to the Cardiff University jobs pages and search for vacancy 11424BR.

Description of the project:
The field of Natural Language Processing (NLP) has made unprecedented progress over the last decade, but the extent to which NLP systems “understand” language is still remarkably limited. A key underlying problem is the need for a vast amount of world knowledge. In this project, we focus on conceptual knowledge, and more in particular on:

(i) capturing what properties are associated with a given concept (e.g. lions are dangerous, boats can float); (ii) characterising how different concepts are related (e.g. brooms are used for cleaning, bees produce honey).

Our proposed approach relies on the fact that Wikipedia contains a wealth of such knowledge. Unfortunately, however, important properties and relationships are often not explicitly mentioned in text, especially if they follow straightforwardly from other information for a human reader (e.g. if X is an animal that can fly then X probably has wings). Apart from learning to extract knowledge expressed in text, we thus also have to learn how to reason about conceptual knowledge.

A central question is how conceptual knowledge should be represented and incorporated in language model architectures. Current NLP systems heavily rely on vector representations in which each concept is represented by a single vector. This approach has important theoretical limitations in terms of what knowledge can be captured, and it only allows for shallow forms of reasoning. In contrast, in symbolic AI, conceptual knowledge is typically represented using facts and rules. This enables powerful forms of reasoning, but symbolic representations are harder to learn and to use in neural networks.

The solution we propose relies on a novel hybrid representation framework, which combines the main advantages of vector representations with those of symbolic methods. In particular, we will explicitly represent properties and relationships, as in symbolic frameworks, but these properties and relations will be encoded as vectors. Each concept will thus be associated with several property vectors, while pairs of related concepts will be associated with one or more relation vectors. Our vectors will thus intuitively play the same role that facts play in symbolic frameworks, with associated neural network models then playing the role of rules.

Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium

Employer: Electronics and Informatics (ETRO), at Vrije Universiteit Brussel (VUB) - imec, Belgium
Title: Postdoctoral Researcher in NLP for healthcare
Specialty: NLP, Machine Learning
Location: Brussels
Deadline: May 09, 2021
Date posted: April 16, 2021
Contact: ndeligia@etrovub.be

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

Description of the project:
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

Responsibilities:
• Design and implement innovative algorithms within the aforementioned project,
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and
• Supervise junior researchers and support in teaching.

Profile and requirements:
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);
• Proven programming experience (e.g., Python, C++);
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);
• Fluency in English and excellent scientific writing and presentation skills;
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

What we offer:
• A two-year position which upon positive evaluation can be further extended;
• A competitive salary (including holiday allowance) and benefits,
• An international scientific environment driven by excellence in fundamental research,
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

How to apply:
Interested candidates should send: • a detailed curriculum vitae,
• a motivation letter related to the position’s profile,
• electronic copies of three key scientific publications, and
• the names of two potential referees

to the following contact person: Prof. Dr. Nikos Deligiannis via email at ndeligia@etrovub.be by May 09, 2021.

About the team:
The position is within machine learning team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.

Ph.D. (funded) & Postdoc Positions in Legal NLP / Legal Tech at Technical University of Munich

Employer: Department of Informatics at Technical University of Munich
Title: Ph.D. Student / Postdoctoral Associate Position
Speciality: Legal Natural Language Processing
Location: Munich, Germany
Deadline: April 30, 2021
Date posted: March 31, 2021
Contact: Matthias Grabmair (matthias.grabmair@tum.de)

The nascent TUM Legal Tech working group at the Technical University of Munich (TUM) Department of Informatics will be hiring one Ph.D. and one Postdoctoral associate to conduct research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing (NLP), and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. The main focus of the positions will be research projects in NLP on legal text with a focus on exploring the use of neural network models towards analytical objectives of interest to legal experts by implementing models and rigorously evaluating them (e.g., training sequence classifiers on specialized corpora and analyzing model predictions quantitatively and qualitatively over experimental iterations). Other activities include broader AI&Law research and teaching.

The initial Ph.D. position employment contract will be for one year and, upon satisfactory evaluation, can be extended through to the completion of the PhD (up to a maximum of four years). The Postdoctorate position's duration will be 18 months from the employment start date.

TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.

Qualifications: Ph.D. Applicants should have an excellent master's degree in a relevant discipline. Postdoc applicants should have a doctorate degree in relevant discipline and strong research record. Suitable academic backgrounds are Computer Science, Computational Linguistics, or related discipline. Applicants should be interested in interdisciplinary work on legal data, have the ability to work fluently with complex domain texts, and be versatile programmers.

To apply: Applicants should submit a one-page statement of purpose explaining their motivation for working at the Legal Tech group and relevant experience statement, a two-page, grade transcripts, and contact information for two references by email (matthias.grabmair@tum.de). Applicants should review the full job posting before submitting their application.

As part of your application, you provide personal data to the TUM. Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/ . By submitting your application, you confirm to have read and understood the data protection information provided by TUM.

Postdoctoral Fellow Position in NLP in the Department of Population Health Sciences at Weill Cornell Medicine, New York City

Employer: Department of Population Health Sciences at Weill Cornell Medicine
Title: Postdoctoral Fellow Position
Speciality: Biomedical Natural Language Processing
Location: New York City, USA
Deadline: Open until filled
Date posted: 24 March 2021
Contact: Yifan Peng (yip4002@med.cornell.edu)

A postdoctoral fellow position is available in Dr. Yifan Peng's laboratory in the Department of Population Health Sciences at Weill Cornell Medicine, starting Fall2021. Our laboratory is primarily interested in developing and applying computational approaches to biomedical text data and medical images. Our research has focused on biomedical text mining (e.g., BlueBERT, NegBio, LitVar), medical image analysis (e.g., NIH Chest X-ray, DeepSeeNet), and their combination (e.g., TieNet). The successful applicant will work on an NIH-funded project. The goal of this research project is to use the radiology-specific ontology, NLP, image analysis, and DL to construct a radiology-specific knowledge graph.

Qualifications: Applicants must have trained with a strong emphasis on text mining. Preference will be given to individuals with expertise in big data/modeling and those with a strong interest in healthcare or life sciences. The position is open to graduating Ph.D. or M.D./Ph.D. students in Computer Science, Bioinformatics, Health informatics, or a related discipline. Current postdoctoral fellows with less than three years of postdoctoral experience are also welcomed.

Appointments are initially for two years. The positions can be extended for one or two additional years at the end of the first year based on performance. Stipends are commensurate with research experience and education.

To apply: Please submit a CV and a one-page research statement to Dr. Yifan Peng (yip4002@med.cornell.edu). Shortlisted candidates will have an online interview.

Cornell University's Weill Cornell Medicine is located in Manhattan, New York, immediately adjacent to the Sloan Kettering Institute and Rockefeller University, and as such offers the exposure to a dynamic and vibrant scientific environment that provides unique and unparalleled research training opportunities, including seminars given by scientific leaders from throughout the world, exposure to diverse research programs, highly sophisticated core facilities, grant writing workshops, career exploration events, and professional development workshops. Weill Cornell Medicine provides subsidized housing for eligible Postdocs.

Weill Cornell Medicine is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Additional information can be found at https://phs.weill.cornell.edu/about-us/career-opportunities/postdoctoral-fellow-position-biomedical-or-clinical-nlp

Research Fellow in Machine Learning, Natural Language Processing and Speech Processing, University of Southampton, United Kingdom

Employer: University of Southampton
Title: Research Fellow in Machine Learning, Natural Language Processing and Speech Processing
Specialty: NLP, Machine Learning
Location: Southampton, United Kingdom
Deadline: 2nd April 2021
Date posted: 9th March 2021
Contact: Dr Stuart E. Middleton sem03@soton.ac.uk

2x Full Time Fixed Term (2 years)

The roles will be part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems programme (for more details see www.tas.ac.uk)

You will undertake independent research as well as working as part of a team - this will include using approaches or methodologies and techniques appropriate to the type of research, and being responsible for writing up your work in order to contribute to published outcomes. There will be the opportunity to use creativity to identify areas for research, develop research methods and extend your research portfolio.

As the research will need to generalise across more than one application domain (e.g., healthcare, autonomous vehicles, IoT, etc..) this offers the opportunity to collaborate with partners from across the TAS Hub and the wider TAS programme (i.e., the 60+ TAS hub industrial partners and the TAS Nodes) and undertake an industry placements for periods of up to 12 months.

To take advantage of these opportunities you will have a PhD or equivalent professional qualifications and experience in one of the following areas:- Machine Learning, Natural Language processing, and Speech Processing. As work will need to be carried out in a multi-disciplinary setting involving experts and researchers from fields such as healthcare, law, engineering, business, and policy - it is important that you are able to communicate research outputs in a way that is understandable and useful to researchers from diverse disciplines.

The candidates will have experience in Machine Learning (with applications to computer vision, speech or signal processing), Reinforcement Learning, and Natural Language Processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience in evaluative methods such as user studies and surveys, and a demonstrable interest in autonomous systems would be a welcome addition.

A strong track record of good publications at international venues (ACL, AAAI, IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable.

The posts are full time fixed term for up to 2 years. The posts are due to start in June or July 2021

Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Details and application forms at: link

Associate, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH

Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
Title: Associate, Applied AI/ML
Specialty: Natural Language Processing, Machine Learning
Location: New York, NY or Columbus, OH
Deadline: Ongoing
Date posted: February 12, 2021
Contact: brian.croy@jpmchase.com

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210075689/

Vice President, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH

Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
Title: Vice President, Applied AI/ML
Specialty: Natural Language Processing, Machine Learning
Location: New York, NY or Columbus, OH
Deadline: Ongoing
Date posted: February 3, 2021
Contact: brian.croy@jpmchase.com

We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.

Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210055497/

Research Fellow position in NLP, National Centre for Text Mining, University of Manchester, UK

Employer: National Centre for Text Mining, University of Manchester, UK
Title: Research Fellow
Specialty: Natural Language Processing, Text Mining
Location: Manchester, UK
Deadline: February 15, 2021
Date posted: February 2, 2021
Contact: Sophia.ananiadou@manchester.ac.uk

We invite applications for a postdoctoral Research Fellow in Natural Language Processing, available as soon as possible for 36 months. The Fellow will work on the H2020 EPHOR (https://www.ephor-project.eu), part of the European Human Exposome Network (https://www.humanexposome.eu/). You will develop new algorithms for information extraction, using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision, applied in the area of exposome for a healthy working life. Based at the University of Manchester, Department of Computer Science, you will join a consortium of 19 partners in 12 countries and the research environment of the National Centre for Text Mining. You will be part of an exceptional consortium of exposure, health and data scientists and technology partners with the aim to advance occupational health science in a unique way to reduce the burden of disease.

The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women's careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.

Blended working arrangements may be considered.

Salary: £41,526 to £45,361 per annum according to relevant experience
Employment type: Fixed Term
Hours per week: Full time
Contract Duration: Fixed term from as soon as possible for 36 Months

For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19657.

PhD Student in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany

Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
Program in Semantics (Lehrstuhl Semantik)
Application deadline: March 1, 2021 (for best consideration, later applications may also be considered)
Application address: filip@hhu.de (subject line “PhD student application”)

A fully funded PhD position for the duration of 3 years.

Requirements: The successful candidate will have an M.A. or a B.A. degree in linguistics or computational linguistics. Desirable qualifications include one or more of the following areas: semantics and/or pragmatics, experience with computational modelling of linguistic data or empirical research (experimental, corpus-based) into linguistic meaning. Knowledge of German is not required.

Application documents:

a short cover letter
curriculum vitae
copy of an M.A., a B.A., or a comparable degree diploma
copies of degree transcripts
two representative writings
the names and email addresses of at least two potential referees

All the application documents (apart from the letters of recommendation) should be submitted by email in a single PDF file to: filip@hhu.de. Subject line: “PhD student application”.

Contact Information:

Prof. Hana Filip
filip@hhu.de

Postdoc Fellow in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany

Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
Program in Semantics (Lehrstuhl Semantik)
Application deadline: March 1, 2021 (for best consideration, later applications may also be considered)
Application address: filip@hhu.de (subject line “Postdoc Computational Linguistics”)

1-year full-time postdoc research position in Computational Linguistics (German salary scale 100% 13 TV-L), to begin April 1, 2021, a later starting date is negotiable. The initial appointment is for 1 year, with a possibility of an extension for up to 3 years.

The successful candidate is expected to conduct research in the domain of computational linguistics, and specifically in the areas that concern natural language meaning, participate in the preparation of grant proposals, as well as to advise students in the area of computational linguistics and related fields. Knowledge of German is not required.

Requirements:

Completed Ph.D. degree (or an equivalent degree) in Computational Linguistics by the time of application.
Desirable expertise should include one or more of the following: recurrent neural networks for language models, distributional semantic modeling in vector spaces, probabilistic approaches to NLP, experience in experimental methodology.

The application should be submitted electronically in one .pdf file and include

a short cover letter
a full CV including a complete list of publications
a brief statement of research experience and plans (1-2 pages)
links to papers, writing samples, or electronic versions thereof
the names and email addresses of at least two potential referees

Contact Information:

Prof. Hana Filip
Email: filip@hhu.de

Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics

Employer: University of Florida, Department of Linguistics
Title: Assistant Professor
Specialty: Computational Language Science AI
Location: Gainesville, FL
Deadline: Feb 1, 2021 (for best consideration)
Date posted: Jan 17, 2021
Start date: Aug 16, 2021
Apply here: https://apply.interfolio.com/83028
Contact: Dr. Stephanie Wulff [15]

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, effective August 16, 2021. This is a 9-month, tenure accruing position. Applicants are expected to have a Ph.D. in Linguistics, Computer Science, or a closely-related field. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include but are not limited to Computational Linguistics, Sociolinguistics, Neuro/Psycholinguistics, Corpus Linguistics, Computational Semantics, and/or Language Documentation. UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity. The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date. The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, 5) contribute to UF’s Artificial Intelligence initiative to train graduates for an AI-enabled world, and 6) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the Center for Big Learning, the UF Informatics Institute, or the McKnight Brain Institute.

Postdoc position on ERC-funded grant Incorporating Demographic Factors into Natural Language Processing Models

Employer: Bocconi University, Milan, Italy
Title: Postdoctoral Researcher
Speciality: NLP, bias, demographic factors
Starting date: March 1 2021, or any time thereafter
Duration: 2 years, 1 year extension possible
Deadline: 8th Febuary 2021
Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
Date posted: 8th January 2021
Contact: <Dirk Hovy> (website)

The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, natural language understanding and generation in various languages, and collaborate closely with Dirk Hovy as well as the MilaNLP lab.

Successful candidates will have to prove:

Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.)
Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.

HOW TO APPLY:

Job ad

The official application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) via email to <recruiting-adr@unibocconi.it> Candidates should attach publications and a cover letter to their application. Skype interviews will take place during February 2021.

Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK

Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
Title: Postdoctoral Researcher
Speciality: NLP, neural information extracttion
Location: DTU, Copenhagen
Deadline: 8th January 2021
Date posted: 20th December 2020
Contact: Evelyn Travnik [16] and Prof. Sophia Ananiadou [17]

We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development, and natural language processing to further research and development into a new state-of-the-art informatics platform.

The key responsibilities of the researcher include development and evaluation of neural information extraction methods applied to biosciences; supporting knowledge enrichment of analysis results via natural language generation; working closely with a software engineering team to translate best-performing NLP techniques into production and co-supervision of students in NLP.

Although the position is located at DTU Biosustain, the NLP research will be supervised by Prof. S. Ananiadou, National Centre for Text Mining (NaCTeM), The University of Manchester, UK. For further information about the project, skills, and further particulars, please visit https://tinyurl.com/y6wrgmsl

NLP Research Internship at Adobe Research, remote (US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland)

Employer: Adobe Research
Title: Research Scientist Intern
Speciality: NLP, search, dialog, joint NLP+computer vision
Location: For 2021, all internships will be remote and available in the following countries only: US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland (interns will be advised by Adobe researchers based in the US).
Deadline: Applications will be accepted until all positions are filled.
Date posted: November 17, 2020
Contact: Franck Dernoncourt <franck.dernoncourt@adobe.com> (Google Scholar)

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary.

To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y We published over 10 papers at EMNLP 2020 and findings of EMNLP 2020.

Postdoctoral position @ MPI Leipzig, DE

Employer: Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences
Title: Postdoctoral Researcher
Specialty: Natural Language Processing, Time-Series Analysis
Location: Leipzig, DE
Deadline: December 31, 2020
Date posted: November 12, 2020
Contact: lmeyer@cbs.mpg.de

Our group (www.languagecycles.com) investigates how periodic electrophysiological activity of the human brain constrains our ability to understand language—and how this may have shaped human languages cross-linguistically. We link behavioral psycholinguistics, experimental neurolinguistics, and corpus linguistics.

The host institution is equipped with a system of compute servers and clusters, as well as access to the central high-performance computing facilities of the Max Planck Society. a 306-channel MEG system, several EEG systems, TMS, tDCS, two 3-T MRI scanners, a 7.0-T MRI scanner, and a SIEMENS Skyra Connectom high-field MRI scanner as available for neuroscientific research.

The successful candidate will investigate the relationship between spectral and temporal properties of human electrophysiology and statistical properties of human languages. To this end, the candidate shall devise innovative ways to link classical natural language processing (e.g., parsing, chunking) with time-series analysis (e.g., autocorrelation, Fourier analysis). The researcher is also expected to actively participate in the supervision of the group’s students. The position also encourages collaborative research within the Institute’s broad research portfolio (i.e., four departments as well as a line of junior research groups).

Applicants must hold a doctoral degree in computational linguistics, linguistic typology, data science, or an adjacent field. Prior international publications in renowned journals are desired. We expect profound experience with annotated linguistic corpora, natural language processing, information theory, and artificial intelligence (e.g. machine learning). The ideal candidate will be versed in time– and frequency-domain time-series analysis and be fluent in Python™, MATLAB® and R.

The start date of the position should be no later than 1st March 2021. The duration of the post is 2 years, with the possibility of an extension for up to three years. Remuneration is based on the pay scale of the Max Planck Society.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. International applicants are strongly encouraged to apply.

To apply, please submit a cover letter, your curriculum vitae, a motivational statement referring to all aspects of this call, contact information of two referees, academic certificates, and three prior publications that illustrate suitability. Please apply online via http://www.cbs.mpg.de/vacancies/open-positions (subject heading: “PD 9/20).

One Postdoctoral Research position at the University of Colorado at Boulder

Employer: Institute for Cognitive Science, University of Colorado at Boulder
Title: Research Associate
Specialty: Natural Language Processing
Location: Boulder, CO, USA
Deadline: December 1, 2020
Date posted: November 11, 2020
Contact: [mailto: Katharina Kann, <katharina.kann@colorado.edu>

The University of Colorado Boulder encourages applicants for a postdoctoral researcher position on natural language processing (NLP) technologies for AI-augmented learning. You will work with the natural language understanding and dialog management subgroups of the newly established AI Research Institute for Student-AI Teaming, a 5-year, $20 million research collaboration.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

The goal of the AI institute is to reframe the role of Artificial Intelligence in education, moving towards a future where AI is viewed as a social, collaborative partner that helps students work and learn more effectively, engagingly, and equitably, while helping educators focus on what they do best: inspiring and teaching students. The Institute will develop, deploy, and study AI Partners that interact naturally with students and teachers through speech, gesture, gaze, and facial expression in real-world classrooms and remote learning settings. The AI Partners will observe, participate in, and support small groups of students to engage in deep and sustained learning conversations while assisting teachers in orchestrating effective learning experiences at the individual, small group, and whole-class levels.

The successful applicant will develop machine learning algorithms for natural language understanding and dialog management.

The candidate will be supervised by Katharina Kann and Alessandro Roncone. The position offers unique postdoctoral training experience and publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, and develop leadership skills by mentoring students.

1-5 year position. The initial contract is for one year (providing renewal after a 6-month probationary period). For each consecutive year, the extension of the contract is based on performance.

The start date is negotiable but anticipated for early 2021.

Job Application site: https://jobs.colorado.edu/jobs/JobDetail/Research-Associate/27241

Two Research Associate positions in NLP, National Centre for Text Mining, University of Manchester, UK

Employer: National Centre for Text Mining, University of Manchester, UK
Title: Research Associate
Specialty: Natural Language Processing
Location: Manchester, UK
Deadline: October 29, 2020
Date posted: September 29, 2020
Contact: Sophia.ananiadou@manchester.ac.uk

The University of Manchester invites applications for two postdoctoral Research Associates in NLP. The posts are available immediately until the end of July 2022. The posts aim to conduct fundamental research in neural NLP (information extraction and summarisation) and they will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk) located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).

You will join the National Centre for Text Mining (NaCTeM), a leading centre in text mining led by Professor Sophia Ananiadou. You should have a strong background in neural Natural Language Processing and excellent programming skills.

SALARY - £32,816 to £40,322 per annum, depending on relevant experience CLOSING DATE - 29/10/2020 FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19112

Teaching and Research Position in Computational Linguistics at the University of Tübingen, Germany

Employer: Division of General and Computational Linguistics, University of Tübingen, Germany
Title: Research Scientist (Wissenschaftlicher Mitarbeiter)
Specialty: Data-driven approaches to computational linguistics, Computational semantics; Computational lexicography
Location: Tübingen, Germany
Deadline: October 15, 2020
Date posted: September 16, 2020
Contact: acl-jobs@sfs.uni-tuebingen.de

The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist whose research experience complements existing strengths in the department. While computational linguists working in any subarea of the field are encouraged to apply, preference will be given to candidates who specialize in one or more of the following areas:

data-driven approaches to computational linguistics (esp. machine learning);
computational semantics;
computational lexicography

Knowledge of German is highly desirable. Duties for this post include teaching (with English as the language of instruction), independent research and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894

The starting date for the position is November 1, 2020. The initial period of appointment is for two years, with the possibility of renewal for another two-year term.

The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.

Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references.

Applications should be sent by October 15, 2020 to:

acl-jobs@sfs.uni-tuebingen.de

The University of Tübingen wishes to increase the proportion of women in research and teaching, and encourages qualified female researchers to apply. Individuals with disabilities are also strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.

Industry-related Postdoc in Natural Language Processing at the Media Technology Center of ETH Zurich

Employer: Media Technology Center, ETH Zurich, Switzerland
Title: Postdoctoral Researcher
Specialty: NLP, Machine Translation
Location: Zurich, Switzerland
Deadline: applications currently accepted and reviewed on a rolling basis
Date posted: August 27, 2020
Contact: Mr. Severin Klingler

The ETH Media Technology Center is a place where you will work at the intersection of research and industry applications. Together with our industry partners, we are building the media technologies of tomorrow. To achieve this, the center provides a platform to work on technological innovations at the intersection of media technology, digital journalism, and design. To join our interdisciplinary team, we offer a position as a Postdoctoral Researcher in Natural Language Processing.

Project background

Together with our industry partner, we are currently exploring how we can make recent advances in NLP accessible to the Swiss media. Most models in natural language processing (NLP) show the best performance for English since, traditionally, research questions are addressed first for English texts. Besides, most available data sets are in English. This has led to a considerable performance gap between NLP methods for English and other languages. The media landscape of Switzerland offers a unique opportunity to advance the state-of-the-art in multilingual NLP research: Despite its small size, Switzerland has four official national languages and a variety of strong dialects that are used in written and oral communication.

Job descritpion

You will be responsible for 1-2 applied research projects with a clear focus on the potential impact for our industry partners. You will be developing new algorithms and systems as well as adapting the state-of-the-art to the specific challenges of our partners. In dialogue with our industry partners, you will develop novel methods that have a direct impact on the (Swiss) media industry. For this, you will be working closely together with research engineers that will implement your research into software prototypes. Many of the projects at the center are interdisciplinary and lie at the intersection of machine learning, computer vision, and natural language processing. You will be working on projects such as multilingual text summarization for news articles or automatic post-editing of machine-translated text to adapt it for journalistic purposes. Projects have clear deliverables and milestones and are decided upon by the media technology center's steering committee.

Your profile

Must hold Ph.D. in computer science or related fields (e.g., electrical engineering, computational science)
Proven track record in natural language processing (publications in conference venues such as ACL, EMNLP, NeurIPS, ICML, ICLR)
Interest in working on applied research projects at the intersection between academia and industry.
Proficiency in written and verbal communication in English.
Speaking one of the national languages of Switzerland is a plus: German, French, Italian, Romansh.

Interested?

Apply online on ETH Jobs portal: https://jobs.ethz.ch/job/view/JOPG_ethz_EgH7KpIva0HtUxknz7
A complete application includes:
- a Cover letter: a short (one page or less) statement of your research interests and your motivation for joining the center
- CV and publication list
- University degree(s)
Applications will be reviewed on a rolling basis
Further information about the Media Technology Center can be found on our website, mtc.ethz.ch. For more information about the position, contact Dr. Severin Klingler by e-mail severin.klingler@inf.ethz.ch (no applications).

Open-Rank (Asst/Assoc/Full) Research Scientist in Machine Learning and Natural Language Processing, Global Security Initiative, Arizona State University

Employer: Global Security Initiative, Arizona State University
Title: (Asst/Assoc/Full) Research Scientist
Specialty: NLP, Machine Learning, Text Mining
Location: Tempe, Arizona, USA
Deadline: applications currently accepted and reviewed on a rolling basis; after 31 August 2020 applications accepted into a reserve pool
Date posted: May 14, 2020
Contact: Ms. Aimee Hill

The Global Security Initiative at Arizona State University is an interdisciplinary hub facilitating research on wicked problems affecting national security. In an effort to develop theories, methods and tools to address the national security risks associated with narrative, disinformation and strategic influence, the GSI seeks to expand its research team with a research scientist well-versed in computational linguistics, data analysis and/or machine learning. Initially, the primary project this position will focus on is an Office of Naval Research funded effort studying adversarial framing in the information environment. The ultimate goal is an automated, unsupervised means of detecting framing and correctly categorizing the instances of framing.

Long-term, the role of the Research Scientist position is to identify research opportunities and pursue research efforts that develop scientific tools to allow analysts and decision-makers to dynamically analyze discourse in mainstream and social media; and also interact with other research teams to integrate these results into analyses of the information environment, including a real-time modeling and also simulation environments.

Essential duties:

Conduct independent research under minimal supervision
Development of natural language processing functions and tools
Build and nurture relationships with relevant government agencies, industry representatives, and philanthropic organizations, as well as across the university

Qualifications:

Ph.D. in Computational Linguistics or related field with emphasis on text understanding, natural language semantics, Natural Language Processing concurrent discourse relations, and probabilistic graph models.
Experience in performing one or more of the following tasks: narrative identification and analysis; framing analysis; parsing, semantic role labeling, and extraction of semantic triples; event detection in text streams; concept-based text clustering; machine reading and classification
Ability to develop data visualization and interpret findings creatively in a variety of formats
Demonstrated ability to work closely across an array of interdisciplinary teams and organizations
Excellent verbal and written communication skills in English
Experience with mentorship and management of graduate students
Evidence of ability to secure external research funding and execute projects for mission-oriented sponsors

Application Instructions

Apply via Interfolio: https://apply.interfolio.com/76127
A complete application includes:
- a cover letter
- CV
- summary of relevant past work (two pages maximum)
- a one-page statement of potential research interests
- the names and contact information of three professional references
Emailed applications will not be accepted.
Applications will be reviewed on a rolling basis; after August 31, 2020, applications will continue to be accepted for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.

Associate Research Scientist in Machine Learning and Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: NLP, Machine Learning, Text Mining
Location: Darmstadt
Deadline: August 15, 2020
Date posted: July 20, 2020
Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has several openings for an Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two to three years, depending on the project)

We are looking to strengthen our group’s profile in different areas of Machine Learning and Natural Language Processing (NLP). Potential topics include but are not limited to:

human-in-the-loop machine learning and interactive NLP,
cross-lingual, multi-modal and low-resource NLP,
NLP for healthcare related to COVID-19, such as domain-specific question answering, evidence mining, or information verification,
NLP to combat misinformation such as fake news or conspiracy theories,
conversational AI.

In addition, we welcome applications of individuals interested in research-oriented infrastructure projects. In particular, we perform research and development in:

AI-based solutions for peer-reviewing,
machine learning for computational lexicography.

UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general.

We are looking for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining. Prior experience with neural network architectures, reinforcement learning and other relevant areas of NLP and Machine Learning are a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy diverse opportunities for professional growth, leading to successful faculty careers or exciting industrial employments. Darmstadt is very close to the Frankfurt airport and provides an excellent living environment for incoming staff members.

The position assumes you will be eligible for moving to Darmstadt or a nearby German location by the end of 2020. It is currently not possible to provide remote employment opportunities that would allow you to work from another country.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by August 15th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

PhD position at the Norwegian Computing Center

Employer: Norwegian Computing Center, Norway
Title: PhD Research Fellow
Specialty: Dialogue modelling, human-robot interaction
Location: Oslo, Norway
Deadline: August 16, 2020
Date posted: July 9, 2020
Contact: Pierre Lison

We offer a fully-funded PhD position at the Norwegian Computing Center (NR) in Oslo, Norway.

The position is associated with the GraphDial project funded by the Research Council of Norway. The goal of GraphDial is to advance the state of the art in dialogue management and human-robot interaction by investigating the use of *graphs* to represent the dialogue state. The project brings together researchers from the field of spoken dialogue systems, statistical relational learning, graph neural networks and human–robot interaction. Don't miss this opportunity if you are interested in conversational AI!

The position is fully-funded, with a fellowship period of 3 years. The candidate will be employed at the Norwegian Computing Center, but will be simultaneously affiliated to the PhD programme of the Department of Informatics at the University of Oslo, where the final PhD degree will be awarded.

We offer: a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

Requirements: Applicants must hold a Master’s degree or equivalent in NLP or Artificial Intelligence or in Computer Science with a specialization in NLP/AI, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required.

To know more about the position, see [18].

Application deadline: August 16.

Feel free to contact us for any questions regarding this position.

PhD position at the University of Oslo

Employer: University of Oslo, Norway
Title: PhD Research Fellow
Specialty: Natural Language Processing, Data Privacy
Location: Oslo, Norway
Deadline: August 15, 2020
Date posted: June 25, 2020
Contact: Pierre Lison

We have one fully-funded PhD position at the Language Technology Group, University of Oslo. The position is funded by the CLEANUP project funded by the Research Council of Norway.

CLEANUP is an exciting research project at the intersection of natural language processing and data privacy and aims to develop a range of new machine learning methods to automatically anonymise (or at least strongly de-identify) text documents such as electronic patient records, court rulings or chat-based interactions with customers.

The project brings together researchers from machine learning, natural language processing, computational privacy, statistical modelling, health informatics and IT law. In addition, partners from the Norwegian public and private sector (covering the fields of healthcare, welfare, banking, insurance and legal publishing) will contribute to the project with their data and domain knowledge.

The position is located within the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. LTG conducts research on a range of NLP topics like semantic parsing, distributional semantics, sentiment analysis, clinical NLP, and more. While the research profile of the group is heavily machine-learning oriented, our projects typically combines data-driven approaches with an interest for linguistic analysis and insight. The group has access to excellent HPC infrastructure.

We offer: a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

Requirements: Applicants must hold a Master’s degree or equivalent in NLP or in Computer Science with a specialization in NLP, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required. Working knowledge of Norwegian is also recommended, as the project will mainly work on Norwegian documents. Candidates that do not currently speak Norwegian or a related Scandinavian language can nevertheless apply if they are willing to learn Norwegian promptly upon arrival in Norway.

The full advert for the PhD position can be found at: [19]

Feel free to contact us for any questions regarding this position.

PostDoctoral Position at the University of Alberta

Employer: University of Alberta, Edmonton, Alberta, Canada
Title: Postdoctoral Fellow Position
Specialty: NLP, Language modeling, language acquisition, multilingualism, deep learning
Location: Edmonton, AB, Canada
Deadline: July 30, 2020
Date posted: June 22, 2020
Contact: Carrie Demmans Epp

The Department of Computing Science at the University of Alberta seeks exceptional candidates for a post-doctoral appointment to be held jointly in the Fyshe and EdTeKLA research groups. The appointment will initially be for a one-year term and will be renewable for an additional year subject to availability of funding and satisfactory performance. The post-doctoral appointee will work on activities related to the computational modeling stream of a large collaborative grant that aims to better understand the language development and literacy.

The person filling this position will work with Alona Fyshe and Carrie Demmans Epp on projects concerning models of the second language acquisition. Research may include:

language modeling,
deep learning, including training large models using GPUs
possible analysis of neuro-imaging data (e.g., fMRI or EEG).

Candidates must have demonstrated expertise in machine learning and natural language processing (NLP). Backgrounds in cognitive psychology, language acquisition, bilingual language, and literacy, among others, are advantageous. We are especially interested in exceptional candidates who transcend traditional disciplinary boundaries and complement our existing strengths. Preference will be given to those who are interested in collaborating on research projects with other members of the grant who have backgrounds in linguistics, psychology, and education.

In addition to English, proficiency in one of the below languages or language families will be considered an asset

Algonquin languages (e.g., Cree)
Arabic
Chinese
Farsi
French

The Department of Computing Science is home to nearly 50 tenured and tenure-track faculty members and over 200 graduate students in its PhD and thesis-based MSc programs. Its faculty members have ties to the Faculty of Education and they participate in national and international research networks as well as cross-discipline institutes within the university.

The University of Alberta ranks consistently within Canada’s five best medical/doctoral universities. Over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows are part of the university’s exceptional learning and research environment. Edmonton (http://www.edmonton.ca), Alberta’s capital, offers a rich array of cultural, professional, sports, and entrepreneurial activities, with easy access to Canada’s Rocky Mountains, and its public elementary and secondary schools provide high-quality education.

Edmonton is also home to The Alberta Machine Intelligence Institute (amii), which is part of the CIFAR $125M Pan-Canadian AI Strategy. Amii has attracted an extremely strong cohort of professors, post-docs and graduate students, and enhanced what was already a very strong machine learning community in Edmonton. Successful candidates will become members of amii, and will be able to take advantage of amii events and resources.

Please submit a cover letter, CV, one-page research statement, and 2-5 references to Carrie Demmans Epp. We are looking for someone to start as soon as possible. The review of applications will begin on June 22 and will continue until a suitable candidate is found; in order to ensure full consideration, applications must be completed by July 30.

The University of Alberta is committed to an equitable, diverse, and an inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.

Summer internship in language technology, Austrian Research Institute for Artificial Intelligence, Vienna

Employer: Austrian Research Institute for Artificial Intelligence, Vienna
Title: Student intern
Specialty: Language technology, computer-assisted translation
Location: Vienna, Austria
Deadline: June 15, 2020
Date posted: June 2, 2020
Contact: tristan.miller@ofai.at

The Language and Interaction Technologies Group of the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna is seeking a student intern for programming tasks in the field of natural language processing.

The successful applicant will be responsible for helping to program the front and back ends of an interactive, graphical tool for computer-assisted translation of creative language. The work will be carried out in close cooperation with the project leader, within the framework of the FWF-funded project Computational Pun-derstanding: https://punderstanding.ofai.at/

The position is a fixed-term one-month contract for 20 hours per week, with the possibility to extend the contract for additional months, subject to project requirements and satisfactory job performance. Remuneration will be in accordance with the standard student assistant salary for FWF projects: https://www.fwf.ac.at/en/research-funding/personnel-costs/

Requirements: Applicants must demonstrate:

Good knowledge of English and German
Good programming skills in Java (or less preferably in Python)
Permission to work in Austria
Interest in linguistics, language technology, and/or natural language processing

Previous experience in developing graphical user interfaces is a big plus.

Application procedure: Applications, including a cover letter and a CV detailing previous academic work and programming experience, should be submitted via e-mail to Tristan Miller: tristan.miller@ofai.at

Applications should be submitted by 15 June 2020. Applications received after this deadline will be considered if the position remains unfilled.

Multiple PhD positions in deep learning for natural language understanding at Idiap, Switzerland

Employer: Idiap Research Institute, Natural Language Understanding group
Title: Multiple PhD positions
Speciality: Natural Language Understanding, Machine Learning
Location: Martigny, Switzerland
Deadline: 31 May, 2020
Date posted: 8 May, 2020
Contact: James Henderson (james.henderson@idiap.ch)

Multiple PhD positions

The Idiap Research Institute seeks qualified candidates for multiple PhD student positions in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the Natural Language Understanding group. For more details, please see the announcements here and here.

Idiap offers competitive salaries, a beautiful location, and a world-class AI research community. PhD students are registered at EPFL, Switzerland. Some of these positions are to work on the Swiss center of excellence (NCCR) project: Evolving Language.

The ideal candidate should hold a Master-level degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing or machine learning, and should have strong programming skills.

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online either here or here.

Postdoctoral position in deep learning for natural language understanding at Idiap, Switzerland

Employer: Idiap Research Institute, Natural Language Understanding group
Title: Postdoctoral researcher
Speciality: Natural Language Understanding, Machine Learning
Location: Martigny, Switzerland
Deadline: 31 May, 2020
Date posted: 8 May, 2020
Contact: James Henderson (james.henderson@idiap.ch)

Postdoctoral position

The Idiap Research Institute seeks qualified candidates for a Postdoctoral researcher position in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the Natural Language Understanding group. This position is to work on the Swiss center of excellence (NCCR) project: Evolving Language. For more details, please see the announcement here.

The ideal candidate should hold a PhD degree in computer science, computational linguistics or related fields. She or he should have a background in natural language processing and machine learning, and should have strong programming skills.

All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).

Please apply online here.

Postdoc in NLP, ITU Copenhagen (Denmark)

Employer: Department of Computer Science, IT University of Copenhagen, Denmark
Specialty: Natural language processing / Machine learning
Location: Copenhagen, Denmark
Deadline: 12 June 2020, at 23:59 CEST.
Contact: Leon Derczynski
Date posted: May 1st 2020
Start Date: August 1st 2020

The IT University of Copenhagen invites applications for a postdoc position to research cross-domain and cross-language transfer methods for natural language processing. The ClinRead project at ITU Copenhagen, funded by the Novo Nordisk Foundation, needs a full time post-doctoral researcher in natural language processing starting 1 August 2020 latest. The position is funded for 12 months, with possible extension. 100% of the time is allocated to research activities. The project application domain is information extract over patient notes in clinical journals. This provides the scope to do basic research in transfer learning for NLP. More details are here: https://nlp.itu.dk/2019/12/13/clinread-understanding-clinical-notes-for-new-languages-novo-nordisk-foundation-grant-for-leon-derczynski/ The project is led by Dr. Leon Strømberg-Derczynski, who is an Assistant Professor in Computer Science at ITU.

Candidate

You must either: (a) hold a PhD in a discipline related to natural language processing; or (b) have an expected PhD award date (with evidence) before 31 January 2021, with all PhD documents submitted before 31 October 2020.
You need to have published academic publications in natural language processing.
Excellent written and spoken English language skills are required.
Applications from both industry and academia are welcome.
The project works with Danish data, so excellent proficiency in Danish is beneficial.

Working in Copenhagen Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Living and working in Copenhagen will be a good experience for you and your family.

General information The IT University of Copenhagen is a teaching and research university concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time academics. Research and teaching in information technology spans all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT. Questions about the positions can be directed to Assistant Professor, Leon Strømberg-Derczynski, IT University of Copenhagen, leod@itu.dk.

Salary Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies. The IT University uses tests in connection with the recruitment process.

Application deadline: 12 June 2020, at 23:59 CEST.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

Apply here: [20]

Postdoctoral Researcher, University of Memphis (USA)

Employer: Institute for Intelligent Systems, University of Memphis, USA
Specialty: Cognitive Science with an emphasis on language, learning, and/or AI
Location: Memphis, TN USA
Deadline: open until filled
Contact: Andrew Olney
Date posted: March 5th 2020
Start Date: May 1st 2020

The Institute for Intelligent Systems at The University of Memphis invites applications for a postdoctoral researcher. The 12-month position will start in May 2020 pending the availability of funds. Candidates must have a Ph.D. in hand by May 2020 and must have a compelling record of research success and potential.

The successful candidate will complement interdisciplinary research at the IIS in one or more of the following focus areas: learning, language, and artificial intelligence. Candidates are encouraged to work on their own research agenda but may join existing projects. Mentoring will be provided based on research focus. Candidates from minority and underrepresented groups are highly encouraged to apply. Salary is competitive and commensurate with qualifications and experience.

Please submit a letter detailing current research interests, a curriculum vitae, three representative publications, and email addresses for three professional references on-line at https://workforum.memphis.edu. For all other inquiries please contact Andrew Olney, aolney@memphis.edu. Review of applications will begin on March 1, 2020.

A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.

Two Research Fellows in Natural Language Processing, Artificial Intelligence Research Centre, Japan

Employer: Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining, UK
Specialty: Natural Language Processing, Information Extraction, Knowledge Discovery
Location: Tokyo, Japan
Deadline: 31st March 2020
Contact: Sophia Ananiadou
Date posted: March 4th 2020
Start Date: ASAP

The Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining (UK) invite applications for two Research Fellows in Natural Language Processing. This is an exciting opportunity for two ambitious researchers to work on a major interdisciplinary project on Cancer, funded by the Japan Agency for Medical Research and Development. The posts aim to promote novel research into information extraction and knowledge discovery for immunotherapy for cancer mechanisms. The two fellows will work together and will also collaborate with NLP researchers both in Japan and in the UK, as well as with data scientists and medical practitioners in Japan.

Although the posts will be located in AIRC, Japan (https://www.airc.aist.go.jp/en/intro/), the NLP research will be carried out in collaboration with the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), Department of Computer Science at The University of Manchester. The successful candidates will benefit from the vibrant research environments of both AIRC and NaCTeM.

Essential skills: candidates should have a PhD in Computer Science with an emphasis on Natural Language Processing/Machine Learning. They should have excellent knowledge of neural network architectures for NLP, information extraction (relation and event extraction) at scale, unsupervised learning or distant learning. Good programming skills (Perl, Python or other scripting languages) are highly desirable. Candidates should have a proven publication track record in high quality venues (e.g. ACL, EMNLP, AAAI, NAACL, etc.). Fluency in English is a must. They should have good written skills in English, be able to communicate with the partners of the consortium and work independently to meet deadlines.

Applicants should send a detailed CV, including a list of publications, a covering letter indicating their expertise for this project and the names of three referees, to Professor Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk).

Interviews will be held during the first week of April 2020, with the aim of starting the project as soon as possible.

Salary: ~6M yen to 9M yen per year (£43K to £65K), depending on experience.

Duration of posts: 3 years.

Postdoc in Computational Neurolinguistics, University of Georgia (USA)

Employer: Department of Linguistics, University of Georgia, Athens GA USA
Specialty: Natural Language Processing, Human Neuroimaging, Cognitive Science
Location: Athens, Georgia USA
Deadline: open until filled
Contact: John Hale
Date posted: March 2nd 2020
Start Date: August 1st 2020

Duties include using tools and techniques from computational linguistics to analyze neural signals across languages. The successful candidate will work closely with partners in Michigan, at Neurospin, INRIA and the MPI. Apply at https://www.ugajobsearch.com/postings/83958

Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium

Employer: Electronics and Informatics (ETRO), at Vrije Universiteit Brussel (VUB) - imec, Belgium
Title: Postdoctoral Researcher in NLP for healthcare
Specialty: NLP, Machine Learning
Location: Brussels
Deadline: March 29, 2020
Date posted: February 25, 2020
Contact: ndeligia@etrovub.be

The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.

Description of the project:
The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.

Responsibilities:
• Design and implement innovative algorithms within the aforementioned project,
• Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and
• Supervise junior researchers and support in teaching.

Profile and requirements:
• A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;
• An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);
• Proven programming experience (e.g., Python, C++);
• Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);
• Fluency in English and excellent scientific writing and presentation skills;
• Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.

What we offer:
• A two-year position which upon positive evaluation can be further extended;
• A competitive salary (including holiday allowance) and benefits,
• An international scientific environment driven by excellence in fundamental research,
• Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)

How to apply:
Interested candidates should send: • a detailed curriculum vitae,
• a motivation letter related to the position’s profile,
• electronic copies of three key scientific publications, and
• the names of two potential referees

to the following contact person: Prof. Dr. Nikolaos Deligiannis via email at ndeligia@etrovub.be by March 29, 2020.

About the team:
The position is within Big Data team at the Department of Electronics and Informatics at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.

Permanent research position in language technology at the Norwegian Computing Center, Oslo, Norway

Employer: Norwegian Computing Center (NR), Oslo, Norway
Title: Research Scientist
Specialty: Language Technology, NLP, Machine Learning
Location: Oslo, Norway
Deadline: February 23, 2020
Date posted: February 1, 2020
Contact: pierre.lison@nr.no

We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 45 researchers.

The researcher will be expected to participate in several research projects. In particular, we have recently initiated a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.

You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.

Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.

For more information, please visit the application website (in Norwegian).

We offer:
We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.

The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.

About us:
Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.

The institute has 85 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.

PostDoc or PhD in Secure and Robust Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: NLP, Machine Learning, Text Mining
Location: Darmstadt
Deadline: February 10, 2020
Date posted: January 20, 2020
Contact: jobs@ukp.informatik.tu-darmstadt.de

UKP Lab of the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "Secure and Robust NLP" (PostDoc- or PhD-level; for an initial term until the end of 2021)

as part of the National Research Center for Applied Cybersecurity ATHENE [1]. We are part of the research mission "SenPAI-Security and Privacy in AI". While AI becomes more common as a tool for various security applications where data must be analysed, clustered or attributed, the security of the applied AI algorithms is often limited. Various research results in the past years show shortcomings of trained neural nets (NN) like the lack of robustness against targeted attacks. The focus of our contribution to SenPAI is in (i) An automatic penetration testing system for NLP: A modular toolkit with common strategies to attack NLP models. This toolkit allows the wide-spread evaluation of state-of-the-art and in-production NLP systems; and (ii) Robust training objectives for NLP systems: State-of-the-art learning systems are equipped with the automatic attack toolkit in order to generate more robust NLP models. The goal is to have NLP models which are robust against new, unseen attacks and which require a higher effort to bypass them.

For this project, we are looking to hire a PostDoc or a PhD student with both a strong background in Natural Language Processing and a strong interest to contribute to applied security. We plan to cooperate with Fraunhofer SIT in Darmstadt and several other machine learning labs involved in SenPAI. The UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, security and AI for Social Good in general.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interest in secure and robust NLP. Prior experience with neural network architectures, security-related applications and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning, and and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

[1] https://www.athene-center.de/en/

PhD or PostDoc in Natural Language Processing for the Social Good, Computer Science Department, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: NLP, Machine Learning, Text Mining
Location: Darmstadt
Deadline: February 10, 2020
Date posted: January 20, 2020
Contact: jobs@ukp.informatik.tu-darmstadt.de

The Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

Associate Research Scientist "NLP for the Social Good" (PhD- or PostDoc-level; for an initial term until the end of 2022)

We are building a research profile in "Content Analytics for the Social Good" in close collaboration with multiple Machine Learning and Data Science labs as well as Social Science labs at the universities of Frankfurt and Mainz. To stregthen this profile, we are looking to hire a PhD student or a PostDoc with both a strong background in Natural Language Processing and a genuine interest to contribute to the Social Good, i.e. conduct research with decidedly positive impact on our society. Examples include privacy-aware NLP and large-scale text analysis to promote and enhance corporate social responsibility, public-policy making, or user empowerment under uncertainty. We specifically envisage cooperations with law and economics researchers and cutting-edge NLP research in low-resource scenarios.

The position is situated in a larger research environment of the UKP Lab as a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general. We have recently hired several postdocs to build a focus on NLP for the Social Good. The immediate supervision for the advertised position will be provided by Dr. Ivan Habernal. The strategic long-term advice will be given by Prof. Iryna Gurevych.

We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interdisciplinary interest in Computational Social Science. Prior experience with neural network architectures, corpus development and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.

UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning, and and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.

To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.

NLP Research Internship at Adobe Research, San Jose, California

Employer: Adobe Research
Title: Research Scientist Intern
Speciality: NLP, search, dialog, joint NLP+computer vision
Location: San Jose, CA, USA
Deadline: Applications will be accepted until the position is filled.
Date posted: January 7, 2020
Contact: Franck Dernoncourt <franck.dernoncourt@adobe.com>

We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y

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 * Archived postings:
-** [[Employment opportunities posted 2017|2017]] - [[Employment opportunities posted 2016|2016]] - [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
+** [[Employment opportunities posted 2019|2019]] - [[Employment opportunities posted 2018|2018]] - [[Employment opportunities posted 2017|2017]] - [[Employment opportunities posted 2016|2016]] - [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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-== PostDoc or PhD in Secure and Robust Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt ==
+== A postdoc position in NLP at the University of Tartu, Estonia ==
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
+* '''Employer:''' Institute of Computer Science, University of Tartu [https://cs.ut.ee/en/arvutiteaduse-instituudi-esileht]
-* Title: Associate Research Scientist
+* '''Title:''' Researcher in natural language processing
-* Specialty: NLP, Machine Learning, Text Mining
+* '''Speciality:''' Natural language processing, psychology
-* Location: Darmstadt
+* '''Location:''' Tartu, Estonia
-* Deadline: February 10, 2020
+* '''Deadline:''' 1 April, 2024
-* Date posted: January 20, 2020
+* '''Date posted:''' 12 March, 2024
-* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
+* '''Contact:''' Kairit Sirts (kairit.sirts@ut.ee)
+‘’’Postdoc position in NLP’’’
+Applications are invited for a postdoctoral fellowship with the TartuNLP lab in the Institute of Computer Science at the University of Tartu. The funding for the position is provided by the recently established Estonian Centre of Excellence in AI (EXAI), which gathers various research teams from several Estonian research institutions.
+The successful candidate will work with Kairit Sirts on AI-related projects at the interface between natural language processing (mainly using large language model technology) and psychology with the goal of developing chatbots for supporting mental health. The candidate will also participate with their NLP expertise in collaborative projects with other teams that are part of the EXAI.
+The suitable candidate has a PhD in natural language processing, artificial intelligence, computer science, or other relevant discipline. They should have a good research and publication track record in NLP. Interest in psychology or mental health related topics is a bonus.
+More info about the job offer, application process and the requirements: [https://ut.ee/en/job-offer/research-fellow-natural-language-processing-0]
+All questions related to the position should be sent to Dr. Kairit Sirts (kairit.sirts@ut.ee).
+== Multiple PhD positions in deep learning for NLP and neuroscience at Idiap, Switzerland ==
+* '''Employer:''' Idiap Research Institute, [https://www.idiap.ch/en/scientific-research/natural-language-understanding]
+* '''Title:''' Multiple PhD student positions
+* '''Speciality:''' Machine Learning, Natural Language Understanding, Neuroscience
+* '''Location:''' Martigny, Switzerland
+* '''Deadline:''' 31 March, 2024
+* '''Date posted:''' 8 March, 2024
+* '''Contact:''' James Henderson (james.henderson@idiap.ch)
+'''Multiple PhD positions'''
+The Idiap Research Institute seeks qualified candidates for three PhD student positions in deep learning for natural language, one focussing on neuroscience and two focussing on representation learning.  These researchers will work with Dr. James Henderson in the Natural Language Understanding group [https://www.idiap.ch/en/scientific-research/natural-language-understanding].
+Idiap offers competitive salaries, a beautiful location, and a world-class AI research community.  PhD students are registered at EPFL.  The two researchers in representation learning for NLP will be part of a Swiss NSF project building on our recent Bayesian extension of Transformers.  The researcher in deep learning and the neuroscience of language will work also in collaboration with Dr. Itsaso Olasagasti of Univ. Geneva's Fundamental Neuroscience Dept and Dr. Phil Garner of Idiap, and will benefit from visits to Campus Biotech in Geneva. This position is part of the Swiss center of excellence (NCCR) project: Evolving Language.
+The ideal PhD candidates should hold a Masters degree in computer science, artificial intelligence, computational neuroscience, or related fields. She or he should have a background in machine learning, and experience in natural language processing or computational neuroscience would be a plus. The applicant should also have strong mathematical and programming skills.
+Please apply on the Idiap jobs site at [https://www.idiap.ch/en/careers].  All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).
+== Postdoctoral Researcher in Natural Language Processing for Homeland Security  - University of Central Florida ==
+* '''Employer:''' University of Central Florida
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' Orlando, Florida
+* '''Date posted:''' 01/18/2024
+* '''Application Email:''' adan.vela@ucf.edu (Subject: POST-DOC Election Violence)
+''' Description '''
+In partnership with the DHS National Counterterrorism Innovation, Technology, and Education (NCITE) Center of Excellence at UNO and collaborators at Temple University we are seeking a postdoctoral researcher on a high-exposure project related to online extremism and the transition to real-world violence.
+Using NLP and Machine Learning techniques we are seeking to develop a real-time analytics system to monitor online discourse with the end-goal of estimating the threat-level faced by government officials, institutions, and other non-public persons (esp. elections officials). Related extensions of this extremism research seeks to assess the threat-risk to other targeted groups and to map the online space of violent anti-government groups and violent hate groups.
+For post-doctoral candidates targeting an academic posting our team of faculty will actively support you in this endeavor through a "post-doc first" posture, while actively facilitating connections and meaningful partnerships with our CoPIs at Gatech, Nebraska, Temple, and elsewhere. Support does not just come from project PIs but the whole Industrial Engineering department at UCF - through such joint efforts we have successfully placed a number of post-docs in tenure-track faculty positions.
+Accordingly, responsibilities will include leading the execution of research efforts, mentorship of students, publications/presentations, and proposal writing.  Teaching opportunities are available if desired.
+''' Qualifications '''
+Candidates should have a background in Natural Language Processing and Machine Learning, and feel comfortable working with LLMs and developing sentiment classifiers.  Strong candidates will have an understanding of US politics and extremism.  As an interdisciplinary project with Criminology, in additional to computational methods, the candidate will leverage large scale annotation through MTurk/Prolific in combination with qualitative coding techniques.
+''' Application Instructions '''
+Interested candidates should apply by sending their CV to adan.vela@ucf.edu (Subject: POST-DOC Election Violence). Applications will be reviewed until the position is filled....ideally, well before the 2024 election!
+== iCASE EPSRC funded PhD - multimodal NLP - University of Manchester & BAE ==
+* '''Employer:''' University of Manchester & BAE
+* '''Title:''' PhD in multimodal NLP for model-based systems engineering
+* '''Specialty:''' Natural Language Processing, Large Language Models, Model-Based Systems Engineering
+* '''Location:''' Manchester, UK
+* '''Deadline:''' January 26, 2024
+* '''Date posted:''' December 20, 2023
+* '''Application Website:''' https://www.se.manchester.ac.uk/phds-science-engineering/
+We are seeking an enthusiastic PhD candidate to work in multimodal NLP for model-based systems engineering.
+'''Details'''
+This project is funded by the EPSRC iCASE (sponsored by BAE Systems)  to conduct research in the area of multimodal natural language processing (NLP) for model-based systems engineering based on Large Language Models (LLMs). LLMs have demonstrated a remarkable ability to generate text when presented with images, text, audio and video as input. They are able to achieve higher performance than traditional neural methods and pre-trained language models, without the need for supervised training.
+The project will examine different approaches to multimodal LLM-based NLP to address complex and fine-grained tasks such as reasoning in model-based systems engineering. The PhD will delve into LLM architectures, data augmentation methods, multi-task and domain-specific LLMs, prompting engineering and interpretability.
+The candidate will have the opportunity to work with experts at BAE to gain experience in the practical application of model-based systems engineering. The candidate will join the world-class teams of Prof. S. Ananiadou (Computer Science and National Centre for Text Mining, Natural Language Processing, LLMs) and Prof. H. Yin (Electrical and Electronic Engineering, Deep Learning, Computer Vision).
+'''Requirements'''
+You will have a very good undergraduate degree in Computer Science (minimum 2:1 UK or equivalent for EU students). Experience and knowledge of NLP, multimodal LLMs, Ontologies, Semantic Web, Computer Aided Engineering (CAE) and Model-Based Systems Engineering (MBSE) tools and technology will be considered as an advantage.
+The successful candidate must be capable of obtaining UK security clearance to fulfil any onsite industrial placement at the location of the host site.
+'''Research Environment in Host Institution'''
+The Department of Computer Science at the University of Manchester (UoM) is in the unique position of hosting the National Centre for Text Mining (NaCTeM), the first publicly funded centre for text mining in the world, focusing on fundamental research in Natural Language Processing (LLMs, interpretability, information extraction) in a variety of domains. Besides NaCTeM, academic expertise in AI is spread across a number of other institutes including the Institute for Data Science and AI (IDSAI), the Centre for AI Fundamentals and partnerships with the Alan Turing Institute and the European Laboratory for Learning and Intelligent Systems (ELLIS).
+'''BAE Systems'''
+BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions. They employ a skilled workforce of more than 93,000 people in around 40 countries. Working with customers and local partners, they develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure.
+'''Before you apply'''
+We strongly recommend that you contact the supervisors of this project prior to application.
+'''How to apply'''
+To be considered for this project, you will need to complete a formal application through our online application portal [https://www.se.manchester.ac.uk/phds-science-engineering/] by the 26th of January 2024.
+When applying, you will need to specify the '''full name of this project, the name of your supervisor, how you are planning to fund your research, details of your previous studies, and the names and contact details of two referees'''.
+Please also send the following to Prof. Sophia Ananiadou ([mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]) and Prof. Hujun Yin ([mailto:hujun.yin@manchester.ac.uk hujun.yin@manchester.ac.uk]):
+* Cover letter and full CV
+* Full degree transcripts and relevant certificates
+Candidates will be shortlisted by a panel comprising members of UoM and BAE Systems. Selected candidates will be invited to give a presentation followed by a formal interview. The interviews will be held during the week of 29th January 2024.
+Your application will not be processed unless all of the required documents are submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
+If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions@manchester.ac.uk.
+Equality, diversity and inclusion [https://www.manchester.ac.uk/connect/jobs/equality-diversity-inclusion] is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
+We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
+We also support applications from those returning from a career break or other roles. We will consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
+'''Funding Notes'''
+This project is funded through EPSRC iCASE (with BAE Systems). The project will pay the tuition fees and provide a tax free stipend set at the UKRI rate (£18,622). We are able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme. Additional research funds will be available.
+== Postdoctoral Researcher in NLP for Computational Social Science - Bocconi University ==
+* '''Employer:''' Bocconi University
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' NLP for Computational Social Science
+* '''Location:''' Milan, Italy
+* '''Deadline:''' 2024-01-31
+* '''Starting date:''' 2024-03-01 or anytime thereafter
+* '''Date posted:''' 2023-11-28
+* '''Contact:''' Kai Zhu (kai.zhu@unibocconi.it)
+''' Description '''
+We are seeking a Postdoctoral researcher at Bocconi University in computational social science, emphasizing natural language processing (NLP) and societal impact of the media ecosystem. This position is a unique opportunity to work on projects that explore the interplay between social media and mass media in shaping public narratives and collective attention. The successful candidate will work closely with Prof. [https://kaizhu.me/ Kai Zhu] and Prof. [https://milanlproc.github.io/authors/1_dirk_hovy/ Dirk Hovy], and will have the opportunity to be part of the [https://milanlproc.github.io/ MilaNLP Lab] and [https://bidsa.unibocconi.eu/ BIDSA research center].
+''' Project Overview '''
+* Title: Exploring Societal Impact of Media Ecosystem
+* Duration: 21 months
+* Total compensation: 87,500 Euro
+* Research Focus: Investigating the dynamic relationship between social media discussions, mass media coverage, and collective attention/public attitude toward social issues
+* Unique Dataset: The candidate will have the opportunity to work on large-scale data capturing text transcripts from more than 800 national and local television channels across all 210 Designated Market Areas (DMAs) in the United States, spanning from January 2013 to August 2022. This dataset includes over 10 million hours of television broadcasting and over 60 billion words, covering news, sports, entertainment, commercials, and educational content. It uniquely includes content from local channels tailored to specific regional interests and concerns.
+''' Responsibilities '''
+* Process and analyze the large-scale TV content transcript dataset, focusing on extracting meaningful insights relevant to social issues.
+* Collaborate with a multidisciplinary team and contribute to the development of innovative models to understand the role of media in shaping social issues.
+* The candidate is encouraged to create new projects based on the available dataset and demonstrate innovation and independence in their academic research. This includes formulating original research questions, developing novel methodologies, and contributing unique insights to the field.
+''' Qualifications '''
+* Experience with Large-Scale Text Data: Demonstrated experience in handling and analyzing large-scale text datasets, including data preprocessing and text mining.
+* Expertise in NLP: Solid training in NLP, including experience with modern techniques and models.
+* Interest in Computational Social Science: Keen interest in applying NLP to social science questions, particularly in analyzing the interplay between social and mass media in shaping social issues.
+''' Application Instructions '''
+Interested candidates should submit 1) a detailed CV, 2) a cover letter outlining research interests and career goals, 3) a paper sample of your choice. To submit your application, please go to the [https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/SitoPubblico_IT/Albero+di+navigazione/Home/docenti+e+ricerca/docenti/Reclutamento+docenti/Concorsi/Assegni+di+Ricerca/ Bocconi postdoc job market page] and search for “EXPLORING SOCIETAL IMPACT OF MEDIA ECOSYSTEM”. For any questions, please email Kai Zhu at kai.zhu@unibocconi.it.
+== Postdoctoral Researcher in Large Language Models - Jackson State University ==
+* '''Employer:''' Jackson State University
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' Large Language Models (LLMs)
+* '''Location:''' Jackson, Mississippi
+* '''Date posted:''' 11/20/2023
+* '''Application Email:''' wei.zheng@jsums.edu (Subject: POST-DOC)
+''' Description '''
+We are searching for a highly motivated candidate to join our interdisciplinary research team as a Postdoctoral Researcher focused on applying NLP and LLMs to improve support for personalized teaching and learning.
+Responsibilities include leading innovative NLP and LLM research projects, publishing in conferences and journals, advising and mentoring students, engaging in outreach activities.
+This three-year position will provide unique opportunities to contribute to cutting-edge interdisciplinary research at the intersection of natural language processing, artificial intelligence, and pedagogy. You will collaborate closely with researchers from diverse academic backgrounds to conduct meaningful work within education and other fields. Through disseminating findings in peer-reviewed publications and conferences, advising students, and engaging broader communities, you will develop experience and skills that strengthen your competitiveness for an academic faculty career or similar roles requiring success in competitive grant writing. This role allows you to make an impact across disciplines while also investing in your long-term professional growth and career trajectory.
+''' Qualifications '''
+Candidates must have a Ph.D. in Computer Science, Data Science, or a related field with a strong background in LLM pre-training/fine-tuning. Excellent communication and collaborative skills are essential.
+''' Application Instructions '''
+Interested candidates should apply by sending their CV, cover letter, and three references to wei.zheng@jsums.edu (Subject: POST-DOC). Applications will be reviewed until the position is filled.
-UKP Lab of the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+== Multiple Tenure-Line Faculty Positions in AI and Computing - DePaul University, Jarvis College of Computing and Digital Media ==
+* '''Employer:''' DePaul University, Jarvis College of Computing and Digital Media, School of Computing
+* '''Website:''' https://www.cdm.depaul.edu
+* '''Title:''' Assistant/Associate Professor
+* '''Specialty:''' Core AI (including NLP), cybersecurity, information systems, computer systems, software engineering
+* '''Location:''' Chicago, IL, USA
+* '''Date posted:''' November 8 2023
+* '''Application Website:''' https://apply.interfolio.com/135229
-Associate Research Scientist "Secure and Robust NLP"
+''' Description '''
-(PostDoc- or PhD-level; for an initial term until the end of 2021)
-as part of the National Research Center for Applied Cybersecurity ATHENE [1]. We are part of the research mission "SenPAI-Security and Privacy in AI". While AI becomes more common as a tool for various security applications where data must be analysed, clustered or attributed, the security of the applied AI algorithms is often limited. Various research results in the past years show shortcomings of trained neural nets (NN) like the lack of robustness against targeted attacks. The focus of our contribution to SenPAI is in (i) An automatic penetration testing system for NLP: A modular toolkit with common strategies to attack NLP models. This toolkit allows the wide-spread evaluation of state-of-the-art and in-production NLP systems; and (ii) Robust training objectives for NLP systems: State-of-the-art learning systems are equipped with the automatic attack toolkit in order to generate more robust NLP models. The goal is to have NLP models which are robust against new, unseen attacks and which require a higher effort to bypass them.
+The School of Computing at DePaul University invites applications for multiple tenure-track positions at the level of assistant or associate professor. We are particularly interested in candidates in core AI (e.g., AI foundation models, machine learning, natural language processing, responsible AI), cybersecurity (e.g., forensics, cloud security, usable security, human-centered cybersecurity), information systems (e.g., process modeling, enterprise cloud computing, BI systems), computer systems (e.g., cloud computing, virtualization, data-intensive systems), and software engineering: (e.g., software design and architecture, quality assurance and testing, software safety and security, agile and DevOps methodologies).
-For this project, we are looking to hire a PostDoc or a PhD student with both a strong background in Natural Language Processing and a strong interest to contribute to applied security. We plan to cooperate with Fraunhofer SIT in Darmstadt and several other machine learning labs involved in SenPAI. The UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, security and AI for Social Good in general.
+The School of Computing includes over 74 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 12 master's degrees, and 9 bachelor’s degrees. The School of Computing is committed to providing a flexible and supportive environment for its faculty, promoting a rewarding academic career with a balance between teaching and research.  Located in the heart of Chicago’s vibrant downtown, it offers vast opportunities to forge relationships with industry, national laboratories, universities, and other organizations in the Chicago area.
-We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interest in secure and robust NLP. Prior experience with neural network architectures, security-related applications and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
+The School of Computing has several centers of excellence, including Big Data, Cloud Infrastructure, and High-Performance Computing; Visual Computing, Medical Informatics, and Bioinformatics; Web Intelligence and Recommender Systems; Computing Education; Interactive Machine Learning; Cybersecurity and Adversarial Machine Learning; Computational Geometry and Topology; Next Generation Networks; Rehabilitation Robotics; and Semantics.  Over the last decade, the school faculty have secured more than $13.4M in NSF funding and consistently publish in selective conferences.  The culture within the school emphasizes high-impact and high-quality research, rather than placing pressure on faculty to secure external funding or publish many papers. Nonetheless, the university provides extensive support for external funding, as well as a robust internal research grants program, including PhD stipends, graduate assistantships and course releases.
-UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
+DePaul draws students of many backgrounds and cultures in a diverse urban setting.  We are interested in recruiting and maintaining a diverse faculty. Members of all underrepresented groups, women, veterans, and persons with disabilities are invited and encouraged to apply. DePaul University offers equal employment opportunities to all persons in accordance with applicable federal, state, and local EEO laws. Positions are contingent upon available budgetary resources.
-The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
-The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
-Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
-UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
-The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.
-To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.
-[1] [https://www.athene-center.de/en/ https://www.athene-center.de/en/]
+''' Qualifications '''
+Applicants should have a PhD degree in Computer Science, Information Systems, Computer or Electrical Engineering, or a related field.
-== PhD or PostDoc in Natural Language Processing for the Social Good, Computer Science Department, TU Darmstadt ==
+''' Application Instructions '''
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
-* Title: Associate Research Scientist
-* Specialty: NLP, Machine Learning, Text Mining
-* Location: Darmstadt
-* Deadline: February 10, 2020
-* Date posted: January 20, 2020
-* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
-The Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+Review of applications will begin on November 5, 2023 and continue until the positions are filled.
-Associate Research Scientist "NLP for the Social Good"
+The application must include: a curriculum vitae; at least three letters of recommendation; a research statement, highlighting both current and future directions of research; a teaching statement; and a diversity statement, addressing the candidate's values, experiences and future plans concerning diversity, equity, and inclusion.
-(PhD- or PostDoc-level; for an initial term until the end of 2022)
-We are building a research profile in "Content Analytics for the Social Good" in close collaboration with multiple Machine Learning and Data Science labs as well as Social Science labs at the universities of Frankfurt and Mainz. To stregthen this profile, we are looking to hire a PhD student or a PostDoc with both a strong background in Natural Language Processing and a genuine interest to contribute to the Social Good, i.e. conduct research with decidedly positive impact on our society. Examples include privacy-aware NLP and large-scale text analysis to promote and enhance corporate social responsibility, public-policy making, or user empowerment under uncertainty. We specifically envisage cooperations with law and economics researchers and cutting-edge NLP research in low-resource scenarios.
+For more information, contact James Riely (jriely@cs.depaul.edu).
-The position is situated in a larger research environment of the UKP Lab as a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general. We have recently hired several postdocs to build a focus on NLP for the Social Good. The immediate supervision for the advertised position will be provided by Dr. Ivan Habernal. The strategic long-term advice will be given by Prof. Iryna Gurevych.
-We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interdisciplinary interest in Computational Social Science. Prior experience with neural network architectures, corpus development and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
+''' Equal Employment Opportunity Statement '''
-UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
+EEO Statement
-The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
-The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
-Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
-UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
-The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.
-To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.
+DePaul University is an Equal Opportunity / Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, martial status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws.
-== NLP Research Internship at Adobe Research, San Jose, California ==
+''' Safety and Security Statement - Clery Act '''
-*Employer: Adobe Research
-*Title: Research Scientist Intern
-*Speciality: NLP, search, dialog, joint NLP+computer vision
-*Location: San Jose, CA, USA
-*Deadline: Applications will be accepted until the position is filled.
-*Date posted: January 7, 2020
-*Contact: Franck Dernoncourt <[mailto:franck.dernoncourt@adobe.com franck.dernoncourt@adobe.com]>
-We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y
+A copy of DePaul University's Safety and Security Information Report and Fire Safety Report is available upon request.  The report includes statistics about crimes that occurred on campus and public property immediately adjacent to campus.  The report includes institutional policies concerning campus security, sexual assault and other matters.  It also includes fire statistics, fire safety practices and standards of the institution.  A copy of this report can be obtained by contacting the Crime Prevention Office at 773-325-7775 or by visiting the DePaul Public Safety website at http://publicsafety.depaul.edu .
-== Postdoctoral Researcher in NLP, School of Informatics, University of Edinburgh ==
+''' Title IX Statement '''
-* Employer: University of Edinburgh
-* Title: Form-Independent Semantics for Natural Language Understanding
-* Specialty: NLP
-* Location: Edinburgh, United Kingdom
-* Deadline: 14th January 2020 at 5pm GMT
-* Date posted: 21st December 2019
-* Contact: Prof. Mark Steedman [mailto:steedman@inf.ed.ac.uk steedman@inf.ed.ac.uk]
-The position is to collaborate on research in question-answering using entailment graphs built by machine-reading and deep learning in Mark Steedman's lab in the Institute for Language, Cognition, and Computation (ILCC) at Edinburgh.
+Federal Title IX policy requires that all colleges and universities make known the contact information for the person responsible for coordinating its efforts to comply with Title IX responsibilities.  At DePaul University, the Interim Title IX Coordinator is Kimberlie Goldsberry.  Her office is located in Lincoln Park on the 3rd floor of the Student Center, 2250 N. Sheffield Avenue.  She can be reached at 312-362-8970, or titleixcoordinator@depaul.edu.
-Details and application forms at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=050766
+''' Required Background Check '''
+Employment at DePaul University is contingent on passing a background check.  Only final candidates who are extended an offer of employment will undergo a background check.
-== PhD Position in Neural NLG, Nancy, France as part of the EU Funded NL4XAI Innovative Training Network ==
+''' Mandated Reporting of Child Abuse & Neglect '''
-* Employer: CNRS
-* Title: Explainable Models for Natural Language Generation
-* Specialty: NLP, AI, Deep Learning
-* Location: Nancy, France
-* Deadline: February 14, 2020, at 23h59 CET (UCT + 01:00)
-* Date posted: December 17, 2019
-* Contact: [mailto:claire.gardent@loria.fr claire.gardent@loria.fr]
-Estimated Starting Date: April 1, 2020
+Upon accepting an offer of employment with the university, you will also be required to sign an Acknowledgement of Mandated Reporter Status at the time of hire.  A mandated reporter is required to make a report to the Illinois DCFS Hotline whenever there is a reasonable cause to believe that a child known to them in their professional or official capacity may be abused or neglected.  For more information, please visit the following pages:
-For more information, see https://members.loria.fr/CGardent/explainable-nlg.pdf
+Illinois Department of Children & Family Services (DCFS): https://www2.illinois.gov/dcfs/pages/default.aspx#xd_co_f=ZGE5YjZmYTEtNTBjNi00YzRhLWE4OGEtMDFhOTRlZTBmYTE3~
-The EU funded NL4XAI Innovative Training Network is looking to employ a
+Illinois Abused and Neglected Child Reporting Act: https://www.ilga.gov/legislation/ilcs/ilcs3.asp?ActID=1460&ChapterID=32
-Research Associate / PhD Candidate
-in Deep Learning and  Natural Language Generation
-The researcher will work under the supervision of  Claire Gardent (https://members.loria.fr/CGardent/) at CNRS/LORIA/Lorraine University, Nancy (France) and be co-supervised by Albert Gatt (University of Malta); he or she will be expected to enrol for a PhD at Lorraine University (Nancy, France). Both Claire Gardent and Albert Gatt are leading experts on NLG. The researcher will be part of the Lorraine computer science research unit (LORIA) at Nancy, and work alongside other students and researchers who work on models for  NLG. S/he will also benefit from the wider training and research network provided by the European NL4XAI Innovative Training Network (https://nl4xai.eu/).
+== Full-time Faculty Position in Computational Linguistics or Natural Language Processing - Brigham Young University, Department of Linguistics ==
+* '''Employer:''' Brigham Young University (BYU)
+* '''Job Title:''' Assistant/Associate/Full Professor (any career stage)
+* '''Job Classification:''' CFS (tenure-like) Professorial Faculty
+* '''Specialty:''' Computational Linguistics or Natural Language Processing
+* '''Location:''' Provo, Utah, USA
+* '''Date Posted:''' 3 November 2023
+* '''Application Deadline:''' 8 December 2023
+* '''Start Date of Position:''' 1 August 2024
+* '''Required Degree:''' PhD in Computational Linguistics, Linguistics, or a related field. Note: The required degree must be completed by the start date.
+* '''Application Website:''' https://hrms.byu.edu/psc/ps/PUBLIC/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Employee&SiteId=70&JobOpeningId=127182&PostingSeq=1
-During the course of the project, the researcher will carry out two 3 months-secondments to the University of Malta  (with Albert Gatt) and one 3-months secondment to Orange in Lanion, France (with Lina Rohas-Barahona).
+'''Experience:''' The Department of Linguistics at Brigham Young University is excited to announce a position for a full-time faculty position in the field of linguistics encouraging those at any career stage to apply. This position, with a 'continuing faculty status' (CFS), similar to tenure-track, entails teaching courses aimed at linguistics majors, minors, and Master's students, especially those interested in computational linguistics and natural language processing. Our department's Linguistic Computing minor offers students foundational knowledge and tools to apply computational techniques to natural language. Thus, all candidates should be capable of teaching key courses in computational linguistics or natural language processing in addition to other areas of linguistics.  The Department of Linguistics provides a supportive, collaborative atmosphere that contributes to the development of faculty research agendas in a range of areas.
-Claire Gardent has just been awarded an AI chair which focuses on multilingual and multisource NLG and will fund an additional 3 PhD students and an engineer over a period of 4 years (2020-2024). She also participates in the ANR Quantum Project on Question Generation (2019 – 2023) and heads the CNRS Research Network on Computational, Formal and Field Linguistics (2019 - 2023).
+'''Duties/Expectations:''' Under a 10-month contract, primary responsibilities include:
-This is a great opportunity to join a leading NLG research group and work with top researchers to develop innovative techniques for NLG and explainable AI!
+* Teaching six courses annually, predominantly within the Linguistics major and Linguistic Computing minor but also possibly in other department programs (https://ling.byu.edu/all-programs)
+* Conducting original research and disseminating that research in reputable journals, books, conferences, or other scholarly outlets
+* Mentoring students in linguistic research, research presentations, peer-reviewed article publication, and grant writing
+* Contributing to other departmental and college duties, including student advising, thesis chairing, program coordination, committee service, and shared governance
-The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.
+All candidates must have:
+* Proficiency to teach core linguistics courses including courses in the Linguistics Computing minor (https://catalog.byu.edu/programs/34635)
+* Evident potential for or substantiated record of scholarly research and/or a well-defined research agenda
+* Commitment to mentoring students effectively in and out of class
+* Willingness to support student faith through obvious commitment to the religious expectations of the sponsoring institution, The Church of Jesus Christ of Latter-day Saints
-== 11 Early Stage Artificial Intelligence Research Positions available in NL4XAI project (H2020-MSCA-ITN) ==
+Ideal candidates have some of the following:
-* Employer: EU Funded NL4XAI Innovative Training Network
-* Title: 11 Early Stage Artificial Intelligence Research Positions available in NL4XAI project (H2020-MSCA-ITN)
-* Specialty: NLP, AI
-* Location: Europe
-* Deadline: February 14, 2020, at 23h59 CET (UCT + 01:00)
-* Date posted: December 17, 2019
-* Contact: [mailto:josemaria.alonso.moral@USC.ES josemaria.alonso.moral@USC.ES]
-Estimated Starting Date: April 1, 2020
+* Industry experience in computational linguistics
+* Ability to contribute to linguistics thesis committees (as reader and/or chair)
+* Ability to bridge personal scholarship with linguistics
+* Keenness to collaborate with students on diverse research projects, both faculty-led and student-driven
-Eleven PhD positions are offered within the framework of NL4XAI: Interactive Natural Language Technology for Explainable Artificial Intelligence, a project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 860621.
+Starting rank and salary commensurate with qualifications and experience.
-NL4XAI is a European Training Network (ETN) project, which will train 11 creative, entrepreneurial and innovative early-stage researchers (ESRs), who will face the challenge of making Artificial Intelligence (AI) self-explanatory and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems.
+'''Information required at the time of application''' Please list the individual contact information for each of your three recommenders on the faculty application. At some point during the selection process, they may be contacted to submit their letters of reference electronically.
-The focus of NL4XAI is in the automatic generation of interactive explanations in natural language, just as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users.
+'''Document(s) required at the time of application''' Please attach your Mission Alignment Statement, updated Curriculum Vitae, and cover letter to the faculty application.
-The NL4XAI consortium is made up of 18 partners and beneficiaries from 6 different European countries (France, Malta, Poland, Spain, The Netherlands and the United Kingdom). The consortium is coordinated by the Research Centre in Intelligent Technologies of the Univ. of Santiago de Compostela (CiTIUS-USC) and the partners correspond to 2 national R&D centres (IIIA-CSIC and CNRS-LORIA), 10 universities (Univ. Aberdeen, TU Delft, Univ. Malta, Utrecht Univ., Univ. Twente, Univ. Lorraine, Univ. Dundee, Univ. Autònoma de Barcelona, Univ. Santiago de Compostela and Warsaw Univ. of Technology) and 6 private companies (Indra, Accenture, Orange, Wizenoze, Arria and Info Support).
+'''Mission Alignment Statement:''' BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. To this end, please include a one-page mission alignment statement as part of your application that addresses how you might, as a BYU faculty member: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrines and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball).
-Each ESR will work in an individual research project in a different host institution and will participate in academic and inter-sectoral secondments at the premises of other NL4XAI’s members.
+Applicants who are not members of The Church of Jesus Christ of Latter-day Saints should include a one-page mission alignment statement that describes understanding of and commitment to the Mission of Brigham Young University and the AIMS of a BYU Education (https://aims.byu.edu/).
-We look for outstanding, motivated and team-spirited candidates to carry out a PhD within the NL4XAI ETN and who will get unique international and inter-sectoral training from prominent European researchers (from both academy and industry).
+#LI-DNI
-All details are available at:
+'''Equal Opportunity Employer: m/f/Vets/Disability'''
-https://nl4xai.eu/
+Brigham Young University is an equal opportunity employer.  All faculty are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrine of the affiliated church.
-The NL4XAI project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860621.
+All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend.
-== Natural Language Processing and Machine Learning Scientist (KTP Fellow) in Manchester, UK ==
+== Tenure-Track or Tenured Faculty Position in AI for Science and Society - University of Michigan, School of Information ==
-* Employer: VoiceIQ and The University of Manchester, UK
+* '''Employer:''' University of Michigan
-* Title: Natural Language Processing and Machine Learning Scientist (KTP Fellow)
+* '''Title:''' Assistant/Associate/Full Professor
-* Specialty: NLP, Machine Learning
+* '''Specialty:''' AI for Science and Society
-* Location: Manchester, UK
+* '''Location:''' Ann Arbor, MI
-* Deadline: January 13, 2020
+* '''Deadline:''' December 01 2023
-* Date posted: December 11, 2019
+* '''Date posted:''' November 2 2023
-* Contact: [mailto:Sophia.Ananiadou@manchester.ac.uk Sophia.Ananiadou@manchester.ac.uk]
+* '''Application Website:''' https://apply.interfolio.com/135664
-This is an exciting opportunity for an ambitious research scientist with expertise in Natural Language Processing and Machine Learning with the ability and confidence to work on a 30-month Knowledge Transfer Partnership (KTP) project with VoiceIQ Limited.
+The University of Michigan School of Information (UMSI) in Ann Arbor, Michigan seeks qualified tenure-track assistant, associate, or full professor in the field of AI for Science and Society. We are particularly interested in candidates building and applying novel AI approaches (e.g., generative models) in transformative research of science and society. This includes areas such as education, behavioral sciences, healthcare, future of work, digital humanities, public policy, social sciences, and other disciplines that are aligned with UMSI’s research landscape. Candidates are expected to be able to teach residential and/or online courses related to applied data science and generative AI.
-The project aims at developing innovative AI solutions to an exciting, high-impact and challenging problem of automatically detecting consumer vulnerability from communication channels by embedding state-of-the-art natural language processing and machine learning techniques.
+The successful candidate should demonstrate strong potential for research in generative AI and funding from external funding agencies.  The candidate is also expected to have a strong commitment to teaching and mentoring students from diverse backgrounds.
-VoiceIQ is an AI-powered, communications system, transforming enterprise telephony by leveraging the power of machine learning and natural language processing. The University of Manchester is among the world’s best universities (World 33 by Academic Ranking of World Universities 2019, World 27 by QS 2020).
+'''Job Expectations and Responsibilities:'''
+Job duties include research, teaching, and service. Job responsibilities include but are not limited to:
-The position will provide you with a unique opportunity to work in a rapidly growing UK based, AI software company and play a key role in the product development and commercial success of the company. You:
+* Conduct world-class research in generative AI, with a focus on developing new models and applications that have the potential to transform science and society.
+* Seek external funding to support their research program.
+* Teach undergraduate and graduate courses.
+* Mentor undergraduate and graduate students in their research.
+* Serve on UMSI committees and contribute to the school’s mission of teaching, research, and service.
-- Will apply and improve state-of-the-art machine learning and natural language processing techniques to address a cutting edge business problem which has a high level of commercial applicability;
+Each contributing member of the UMSI faculty is expected to have teaching effort equivalent to three semester-long courses per year.
-- Will play a vital role in innovating, experimenting, developing and transferring such new techniques to VoiceIQ, publishing academic research discoveries in high impact fora in the field, and supporting strategically important future business development;
+'''About UMSI and UM'''
+The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
-- Ultimately, will be responsible for creating a product that is new, first to the market and that will help protect vulnerable members of society from falling prey to mis-selling.
+The School is home to vibrant research and teaching programs, with 74 FTE professors, and over 1,803 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science.
-The position is particularly suitable for applicants who want to bridge academic and industrial research excellence.
+Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit: www.si.umich.edu.
-You will require a PhD degree with an emphasis on machine learning applied to natural language processing or relevant subjects, and a few years of post-doc (or equivalent) experience. Experience relevant to deep learning and neural network-based learning models, to either text or speech analytics is essential.
+'''Minimum Qualifications'''
+PhD in Computer Science, Information Science, Statistics, Economics, Public Policy, or a related field.
-This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and Industry.
+'''How to Apply: '''
+All applicants for this tenure-track or tenured faculty position in Accessibility should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, a diversity statement. Applicants at the assistant professor level must submit three letters of recommendation; applicants at the associate and full professor level must submit the names of three recommenders. All application materials must be submitted electronically to : https://apply.interfolio.com/135664
-Based at VoiceIQ at Universal Square Business Centre in Manchester, the successful candidate will work directly with supervisors from both the University of Manchester and VoiceIQ and will use the facilities and resources of both organisations.
+Please direct inquiries about this position to the chair of our faculty search committee, Qiaozhu Mei (qmei@umich.edu).  Consideration of applications will begin immediately. Applications must be submitted by Dec. 1, 2023, for consideration as the job posting will close for review.
-As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
+'''Background Screening'''
+The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
-FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=18367
+'''U-M EEO/AA Statement'''
+The University of Michigan is an equal opportunity/affirmative action employer.
-== Associate Research Scientist, UKP Lab, TU Darmstadt ==
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
-* Title: Associate Research Scientist
-* Specialty: NLP, Machine Learning, Text Mining
-* Location: Darmstadt
-* Deadline: December 11, 2019
-* Date posted: November 14, 2019
-* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
-The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+== PhD Position on Perspectivism and Disagreement in Natural Language Processing - University of Twente, Netherlands ==
+* '''Employer:''' University of Twente
+* '''Title:''' PhD Student (paid)
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' Enschede, Netherlands
+* '''Deadline:''' December 04 2023
+* '''Date posted:''' November 2 2023
+* '''Application Website:''' https://utwentecareers.nl/en/vacancies/1505/phd-position-on-perspectivism-and-disagreement-in-natural-language-processing/
+Do you want to work on Natural Language Processing (NLP) and aspects of fairness and representation in Machine Learning (ML)? We are looking for a highly motivated and curious PhD candidate to join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the University of Twente in the Netherlands.
+ML and NLP approaches and the processes surrounding them often focus on finding a single “truth” or gold standard by majority vote and removing any “outliers”. From the curation of data sets (where we use measurements like inter-annotator agreement as a quality attribute) to the presentation of results (where less favorable options are regularly excluded), different perspectives and disagreements are typically excluded in ML. In reality, such a single truth often does not exist. From the legal to the medical domain, experts often have different opinions. Erasing deviating perspectives and disagreement is not only an untruthful representation of reality, but it can also negatively impact the reliability and usefulness of an ML system. In societal and political debates, having and exchanging different opinions is even one of the defining properties of democratic societies.
+This PhD project aims to investigate how different opinions of and disagreements between annotators and other sources for “ground truth” can be represented in NLP and leveraged to improve the support that AI systems can provide to their users. The project will consider all steps of the process, from the gathering and annotation of data, the use of the data to train NLP models, to the representation of results.
-Associate Research Scientist
+'''Responsibilities'''
-(PostDoc- or PhD-level; for an initial term of two years)
-We are looking to strengthen our group’s profile in a set of emerging areas of Machine Learning and Natural Language Processing (NLP). Examples include human-in-the-loop machine learning, argument mining and claim validaton, conversational AI, or multimodal commonsense reasoning. UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general.
+During the project, the PhD candidate will perform research on some of the following tasks:
+* Design experiments to create annotated text corpora;
+* Develop new NLP models and approaches using Python and train and fine-tune existing open-source models;
+* Perform intrinsic evaluation of ML models;
+* Apply the insights gained to specific domains of application;
+* Develop software prototypes for performing task-based evaluations.
-We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining. Prior experience with neural network architectures, reinforcement learning and other relevant areas of NLP and Machine Learning are a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
+As a doctoral student, your key responsibilities will be to manage and carry out your research project within 48 months and write a PhD thesis. You will participate in research and training activities and disseminate research in the scientific community (international conferences) and non-scientific community by outreach and public engagement. Furthermore, you will write articles for scientific peer-reviewed journals and progress reports and prepare results for publication and dissemination via public lectures, presentations, and the web.
+You will also be responsible for taking courses per the research education and liaising with the other research staff, students, and partner institutions working in broad areas relevant to the research project. Participation in other department duties, such as meetings, teaching, etc., is expected to cover a maximum scope of 20%.
-UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.
+'''Your profile'''
-To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by December 11th, 2019: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.
+* A background in Natural Language Processing;
+* A strong interest in ethical and societal aspects of AI;
+* You hold, or will shortly acquire, a master’s degree in Computer Science, Computational Linguistics, Information Systems, or a related discipline;
+* Demonstrated programming skills in Python, JavaScript or similar languages;
+* First experience with user studies is a plus;
+* Capable of conducting independent research and willing to develop writing and publication skills;
+* Proficient in written and oral English (C1; above IELTS 7 or equivalent);
+* A positive team spirit and enthusiasm for working in an interdisciplinary and internationally oriented environment.
+'''Our offer'''
-== Tenure-Track/Tenured Faculty Positions: The University of Texas at Arlington ==
+We encourage high responsibility and independence, while collaborating with colleagues, researchers, other university staff and partners. We follow the terms of employment by the Dutch Collective Labour Agreement for Universities (CAO). Our offer contains: a full-time 4-year PhD position with a qualifier in the first year; excellent mentorship in a stimulating research environment with excellent facilities; and a personal development program within the Twente Graduate School. It also includes:
-* Employer: Department of Computer Science and Engineering, The University of Texas at Arlington
+* Gross monthly salary of € 2.770 in the first year, increasing each year up to € 3.539 in the fourth year;
-* Title: Assistant/Associate Professor
+* Excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
-* Speciality: AI / Machine Learning / Robotics, Cyber Physical Systems
+* 29 holidays per year in case of full-time employment;
-* Location: Arlington, TX, USA
+* A training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
-* Deadline: Review of applications will start November 15, 2019 and will continue until the positions are filled.
+* A green campus with free access to sports facilities and an international scientific community;
-* Contact: Christoph Csallner (csallner@uta.edu), Chengkai Li (cli@uta.edu)
+* A family-friendly institution that offers parental leave (both paid and unpaid);
-* Date posted: November 9, 2019
+* A full status as an employee at the UT, including pension, health care benefits and good secondary conditions are part of our collective labour agreement CAO-NU for Dutch universities.
-* Website: https://cse.uta.edu/faculty-positions/tenure-track.php
-The Computer Science and Engineering Department at The University of Texas at Arlington invites applications for 3 tenure-track/tenured assistant/associate professor positions with a tentative start date in Fall 2020. The areas of the following position titles are intended to be interpreted broadly (e.g., "Cyber Physical Systems" may include embedded systems, hybrid systems, sensors, vision, IoT, cybersecurity, feedback systems, actuation, digital fabrication, and related areas):
+'''How to apply'''
-* Assistant/Associate Professor - AI / Machine Learning / Robotics
+Are you interested in being part of our team? Please submit your application before the 4th of December and include:
-* Assistant Professor - Cyber Physical Systems
+* A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position;
-* Assistant/Associate Professor - Cyber Physical Systems
+* A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications.
+Additional information can be acquired via email from d.braun@utwente.nl.
-Our key objective is to hire faculty members with outstanding qualifications, who share the university's core values of high standards of excellence in teaching, innovative research, and service, combined with fostering an open and inclusive environment and promoting diversity and participation of groups that are currently underrepresented in engineering fields. A major emphasis will be potential research collaboration within and outside the department.
+'''Selection Process'''
-'''Application Instructions'''
+A first round of speed interviews (max. 30 min, online) is scheduled to take place between the 18th and 22nd of December, invitations will be sent out approximately one week after the application deadline. The final round of interviews will be conducted online in January. The anticipated starting date is from February 2024 onwards, depending on processing times for Visa and administrative processes.
-To apply, please go to https://uta.peopleadmin.com/postings/10800 and submit the following materials: cover letter, curriculum vitae, research plans, teaching philosophy, and contact information of at least three references (at least five references for Associate Professor candidates). Senior candidates should also include unofficial course evaluations. All candidates should also include a statement of contribution to diversity, equity, and inclusion.
-Review of applications will start November 15, 2019 and will continue until the positions are filled.
+== Research Fellow - MATS Winter Cohort in Berkeley, CA ==
+* '''Specialty:''' AI safety, large language models
+* '''Deadline:''' November 17, 2023 (or November 10 for Neel Nanda)
+* '''Date posted:''' October 31, 2023
+* '''Application Website:''' https://www.matsprogram.org
-Questions about the openings should be addressed to cli@uta.edu or csallner@uta.edu.
+The [https://matsprogram.org MATS] Winter 2023-24 Cohort has launched! Apply by Nov 17 (or Nov 10 for Neel Nanda).
-'''EEO/AA Policy'''
+The ML Alignment & Theory Scholars (MATS) Program is an educational seminar and independent research program. MATS provides talented scholars with talks, workshops, and research [https://www.matsprogram.org/mentors mentorship] in the field of AI safety, and connects them with the Berkeley AI safety research community.
-UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. UTA is a tobacco free campus.
+The program takes place in Berkeley, CA from January 8 to March 17. If you’d like to sign up for program updates and application deadline reminders, fill out our [https://airtable.com/appxum3Sqh7TdDvdg/shrwtDZXeSfzeh5GT interest form] (~1 min)! If you know anyone you’d be excited to see apply to MATS, you can fill out our [https://airtable.com/appxum3Sqh7TdDvdg/shrRtJW4Ux8oTY28C recommendation form] (~1 minute). We’ll reach out to encourage them to apply! Read more about the winter program [https://www.lesswrong.com/posts/tqyg3DpoiE4DKyi4y/apply-for-mats-winter-2023-24 here].
+== Assistant/Associate/Full Professor in NLP - Department of Computer Science, University of Colorado Boulder ==
+* '''Employer:''' University of Colorado Boulder
+* '''Title:''' Tenure/Tenure-Track Professor
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' Boulder, Colorado, USA
+* '''Deadline:''' November 26 2023
+* '''Date posted:''' October 5 2023
+* '''Application Website:''' https://jobs.colorado.edu/jobs/JobDetail/Tenure-Tenure-Track-Faculty-Search-in-Natural-Language-Processing/52139
-== Tenure Track Faculty Positions: Johns Hopkins University  ==
+The Department of Computer Science at the University of Colorado Boulder invites applications for a tenure-track faculty position in natural language processing (NLP). We seek candidates at the assistant, associate, or full professor level with a strong background in core NLP topics. We are especially looking for applicants who are interested in or have experience with applying NLP to interdisciplinary problems, e.g., in the areas of Computational Social Science, Fairness, Accountability, and Transparency, Human-Computer Interaction (HCI), Science of Science, Trustworthy AI, or Bioinformatics and Health Sciences. This list is not exhaustive. The successful candidate will be expected to contribute to the department's research, teaching, and service missions. This position is anticipated to be hired at the Assistant Professor rank; however, qualified candidates may be considered at the Associate Professor or Professor rank.
-* Employer: Department of Computer Science, Johns Hopkins University
-* Title: Assistant/Associate/Full Professor
-* Speciality: All areas of Computer Science
-* Location: Baltimore, Maryland, USA
-* Deadline: December 15, 2019
-* Contact: Mark Dredze (mdredze@cs.jhu.edu)
-* Date posted: October 31, 2019
-* Website: https://www.cs.jhu.edu/about/employment-opportunities/
-http://apply.interfolio.com/69225
+We are looking for one faculty member in the area with the potential for a second hire based on the candidate pool.
-The Johns Hopkins University’s Department of Computer Science seeks
+The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
-applicants for tenure-track faculty positions at all levels and across
-all areas of computer science. The department will consider offers in
-two tracks: (1) an open track seeking excellent candidates across all
-areas of computer science; and (2) a track seeking candidates in the
-areas of human computer interaction (HCI), human AI interaction,
-computational health, artificial intelligence and machine learning.
-The search will focus on candidates at the junior level, but all
-qualified applicants will be considered.
-Plans for faculty growth in the department are aligned with School and
+'''WHO WE ARE''':
-University initiatives in health and AI. Additionally, the faculty
-will continue to grow by adding excellent and diverse candidates
-across all areas of computer science. The HCI search is part of a
-newly-launched initiative (http://hci.jhu.edu) that seeks to transform
-existing HCI research activities across the university by making
-several faculty hires within Computer Science.
-The Department of Computer Science has 31 full-time tenured and
+Computer Science is the fastest growing and largest department within the College of Engineering and Applied Science. The department is home to 50 tenured and tenure-track faculty plus 25 instructional faculty and now hosts nearly 1,300 undergraduate and 500 graduate students. Computer Science has a strong tradition and national reputation for excellence in NLP, a field that has seen a dramatic increase in student interest. This search aims to continue our prominence in the area and deepen interdisciplinary collaborations with departments such as Linguistics, Information Science, Applied Mathematics, Psychology, and Business and Law schools.
-tenure-track faculty members, 8 research and 5 teaching faculty
-members, 200 PhD students, 200 MSE/MSSI students, and over 500
-undergraduate students. There are several affiliated research centers
-and institutes including the Laboratory for Computational Sensing and
-Robotics (LCSR), the Center for Language and Speech Processing (CLSP),
-the JHU Information Security Institute (JHUISI), the Institute for
-Data Intensive Engineering and Science (IDIES), the Malone Center for
-Engineering in Healthcare (MCEH), the Institute for Assured Autonomy
-(IAA), and other labs and research groups. More information about the
-Department of Computer Science can be found at www.cs.jhu.edu and
-about the Whiting School of Engineering at
-https://engineering.jhu.edu.
-Applicants should submit a curriculum vitae, a research statement, a
+Our department is committed to fostering an inclusive environment, and we seek candidates who understand the benefits of interdisciplinary collaborations with students, faculty, and other researchers from across CU. Our department is also responsive to dual-career situations. For more information about the Department of Computer Science, please visit: https://www.colorado.edu/cs/
-teaching statement, three recent publications, and complete contact
-information for at least three references.
-Applications must be made on-line at
+The University of Colorado Boulder (CU Boulder) is among the most research-active public universities in the country, and the College of Engineering and Applied Science is the second largest school or college on the CU Boulder campus. We are committed to fostering a diverse, inclusive, and academically excellent community.
-http://apply.interfolio.com/69225. While candidates who complete their
-applications by December 15, 2019 will receive full consideration, the
-department will consider applications submitted after that date.
-The Whiting School of Engineering and the Department of Computer
+'''WHAT YOUR KEY RESPONSIBILITIES WILL BE''':
-Science are committed to building a diverse educational environment:
-https://www.cs.jhu.edu/diversity/.
-The Johns Hopkins University is committed to equal opportunity for its
+* Successful candidates will be expected to engage in undergraduate and graduate teaching and mentoring; develop an externally funded research program in their technical area; contribute professional leadership and service to their unit, the college, and their professional community; and cultivate and contribute to the inclusive excellence of our academic community.
-faculty, staff, and students. To that end, the University does not
+* Contribute solutions to complex global challenges, aiming to improve economic competitiveness, security, and quality of life. Your efforts will bolster our national leadership, ensuring that advancements in NLP are inclusive and transcend social, economic, and geographical boundaries, fostering a diverse academic and social environment.
-discriminate on the basis of sex, gender, marital status, pregnancy,
+* The typical distribution of work for this role is 40% teaching, 40% scholarly and creative work (research), and 20% leadership and service.
-race, color, ethnicity, national origin, age, disability, religion,
-sexual orientation, gender identity or expression, veteran status or
-other legally protected characteristic. The University is committed to
-providing qualified individuals access to all academic and employment
-programs, benefits and activities on the basis of demonstrated
-ability, performance and merit without regard to personal factors that
-are irrelevant to the program involved.
+'''WHAT YOU SHOULD KNOW''':
+* The anticipated start date for this position is Fall 2024, but a later start date may be negotiated.
+* This search is aimed at increasing our critical mass of faculty with expertise in natural language processing (NLP). We seek candidates whose teaching, research, and service will contribute to the department's leadership in NLP and help foster an inclusive academic culture of excellence in the College of Engineering and Applied Science.
+* As part of the University of Colorado Boulder’s deep commitment to equity, diversity, and inclusion, the campus has implemented a reference check program with respect to final candidates for tenured faculty appointments. The reference check program is intended to allow CU Boulder to collect and review information about a candidate's conduct at their previous institutions, specifically conduct related to sexual misconduct, harassment, and/or discrimination – before making hiring decisions. All final candidates for tenured faculty appointments are required to complete an Authorization to Release Information.
-== Assistant Professor with emphasis on Natural Language Processing, University of Georgia ==
+'''WHAT WE CAN OFFER''':
-* Employer: Department of Computer Science, University of Georgia
-* Title: Assistant Professor
-* Speciality: NLP unspecified
-* Location: Athens, Georgia, USA
-* Deadline: November 13 2019
-* Contact: Krzysztof J. Kochut (kkochut@uga.edu)
-* Date posted: October 24th 2019
-Assistant Professor with emphasis on Natural Language Processing
+* The anticipated academic year salary range for this position at the Assistant Professor rank is $110,000 - $130,000 academic year salary.
+* Qualified candidates will be considered for Associate Professor or Professor rank. The full salary range is $110,000 - $190,000, depending on rank.
+* A relocation stipend may be available within CEAS guidelines.
+* Tenure-track faculty benefits include eligibility for gender-neutral paid parental leave; housing down-payment assistance programs; a relocation and dual career assistance program; and teaching, research, and professional development.
-The Department of Computer Science at the University of Georgia invites applications for a tenure-track assistant professor position, starting August 2020. This position will complement and further strengthen our department’s research and education efforts in Natural Language Processing and offers a competitive salary and generous startup package. Applicants should hold a Ph.D. in Computer Science or related field.
+'''BENEFITS''':
-The ideal candidate for this position will have a strong research background in Natural Language Processing, and be committed to excellence in both research and teaching.
+The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.
-Computer Science is a growing and congenial department of 35 faculty within the Franklin College of Arts and Sciences. The department has more than 1,150 undergraduate and more than 200 graduate students and offers the B.S., M.S., and Ph.D. degrees in CS. The teaching load allows for substantial concentration on research. In addition to the areas in which we are recruiting, our faculty cover a broad range of research interests, including algorithms, artificial intelligence, bioinformatics, brain imaging and mapping, computer security, computational science and high-performance computing, computer vision, data privacy, data science, distributed and real-time systems, machine learning, parallel and distributed computing, robotics, simulation, and semantic web. Please see http://www.cs.uga.edu for more information about the department and the university.
+'''WHAT WE REQUIRE''':
-The Franklin College of Arts and Sciences, its many units, and the University of Georgia are committed to increasing the diversity of its faculty and students, and sustaining a work and learning environment that is inclusive. Women, minorities, protected veterans and individuals with disability are encouraged to apply. The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, genetic information, disability, gender identity, sexual orientation, or protected veteran status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb@uga.edu). Please do not contact the department or search committee with such requests.  The University of Georgia (UGA), a land-grant and sea-grant university with statewide commitments and responsibilities is the state's oldest, most comprehensive and most diversified institution of higher education (http://www.uga.edu). UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA was founded in 1785 by the Georgia General Assembly as the first state-chartered University in the country. UGA employs approximately 2,348 full-time faculty and more than 8,980 full-time staff. The University's enrollment exceeds 37,500 students including over 28,800 undergraduates and over 8,700 graduate and professional students. Academic programs reside in 17 schools and colleges, as well as a medical partnership with Augusta University housed on the UGA Health Sciences Campus in Athens.
+* Applicants must have earned a research doctorate in Computer Science, Information Science, Computational Linguistics, Computer Engineering, or a similar field or have their degree conferred before starting a tenure-track faculty appointment.
+* Candidates being considered for appointment at the Associate Professor or Professor rank must meet University standards and unit criteria for tenure and promotion to the designated rank. This generally includes having an established and ongoing program of original research, a strong publication record, and demonstrated ability to obtain external funding as well as a record of high-quality teaching and mentoring.
-To apply, please go to http://www.ugajobsearch.com/postings/121338. Please upload a cover letter, curriculum vitae, and short statements of research interests and teaching philosophy. Please provide contact information (email and telephone number) for three references. Review of applications will begin on November 13, 2019 and will continue until the position is filled.
+'''SPECIAL INSTRUCTIONS''':
-== Assistant or Associate Professor, Dept. Information Systems and Cyber Security, University of Texas at San Antonio ==
+To apply, please submit the following materials as individual PDF files:
-* Employer: The University of Texas at San Antonio
+* '''Cover Letter''': A one-page cover letter describing your interest in the position and summarizing your personal academic goals.
-* Title: Assistant or Associate Professor of Information Systems and Cyber Security
+* '''Resume/CV''': A current curriculum vitae.
-* Specialty: NLP, text mining, machine learning, data science, or cyber security
+* '''A Statement of Research Philosophy''': A statement of your experience and plans for research and/or creative work that contributes to the body of knowledge in your field and provides broader benefits to education and society (2-3 pages).
-* Location: San Antonio, Texas, USA
+* '''A Statement of Teaching Philosophy''': A statement of your experience and plans for teaching and mentoring a diverse student body (2-3 pages).
-* Deadline: Open until filled
+* '''A Contributions to Diversity and Inclusion Statement''': A statement on how your teaching, research, and leadership and service demonstrates a commitment to diversity and inclusion. Examples might include scholarly work, efforts to improve access to higher education for underserved individuals or groups, or other contributions to diverse communities. For guidance in writing this statement please see the link: https://www.colorado.edu/engineering/support-faculty-applicants) (1-2 pages).
-* Date posted:  21 October 2019
+* '''List of References''': Please upload a document that lists the name and contact information for references who may be contacted by phone. *Note - during the application process, you will separately be asked to provide the contact information for three (3) references who may be asked to provide letters of recommendation later in the search process. These references may be the same or different than those you list on your phone check document.
-* Contacts: Anthony Rios, (anthony.rios@utsa.edu)
-The University of Texas at San Antonio
+Applications will be accepted until the position is filled; however, for full consideration please apply by '''November 26, 2023'''. Background checks will be conducted for all final candidates.
-Department of Information Systems and Cyber Security
-The University of Texas at San Antonio Department of Information Systems and Cyber Security invites applicants for a tenure-track position (rank: Assistant or Associate) beginning Fall 2020.
+Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs (search by job title or by requisition number: 52139).
-The position requires a Ph.D. degree in Information Systems, Cyber Security or related areas (e.g., Information Science, Computer Engineering, Computer Science, etc.) with a strong preference for a specialization in Data Analytics (e.g., machine learning, information retrieval, natural language processing, computational social science, etc.) or a specialization in Cyber Security. Candidates whose work lies at the intersection of Data Analytics and Cyber Security (e.g., anomaly detection in computing system data, artificial intelligence informed cyber situational awareness, etc.) are particularly encouraged to apply. Candidates must demonstrate strong potential for publishing in top-tier Information Systems, Data Analytics or Cyber Security publication venues. The successful candidate must demonstrate their ability to work with and be sensitive to the educational needs of diverse urban populations and support the university’s commitment to thrive as a Hispanic Serving Institution and a model for student success. Candidates will be expected to participate in departmental service activities. Candidates are also expected to participate in pursuing cross-disciplinary research grants. The ability to obtain and conduct federally-funded research that requires a top-secret security clearance is preferred. Responsibilities include research, teaching at the graduate and undergraduate levels and program development. The Department of Information Systems and Cyber Security consists of 14 tenured and tenure-track faculty members. Salary and benefits are competitive and commensurate with qualifications and experience. For additional information about the position, visit https://business.utsa.edu/faculty-and-research/faculty-openings/.
+== Assistant Professor - Department of Psychology, Rochester Institute of Technology ==
+* '''Employer:''' Rochester Institute of Technology
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Cognitive Science
+* '''Secondary expertise:''' cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology
+* '''Location:''' Rochester, New York, USA
+* '''Deadline:''' When the job posting is no longer live
+* '''Date posted:''' 04 October 2023
+* '''Contact:''' Dr. Caroline DeLong - [mailto:cmdgsh@rit.edu cmdgsh@rit.edu]
+* '''Application Website:''' http://careers.rit.edu/faculty Keyword Search 8262BR
-Applicants must submit their full application package via the STARS program which is located at
+DETAILED JOB DESCRIPTION:
-https://jobs.utsa.edu/.
+The Department of Psychology at the Rochester Institute of Technology (RIT; www.rit.edu/psychology) invites candidates to apply for a tenure-track Assistant Professor position starting in August 2024.  We are seeking an energetic and enthusiastic psychologist who will serve as an instructor, researcher, and mentor to students in our undergraduate (Psychology, Neuroscience) and graduate programs (Masters in Experimental Psychology, Ph.D. in Cognitive Science). We are particularly looking to build a cohort of faculty who can contribute to the interdisciplinary Ph.D. program in Cognitive Science and contribute to research, mentoring, and teaching using computational and laboratory methods. Candidates should have expertise in an area of Cognitive Science such as cognitive or behavioral neuroscience, AI, computational/psycho-linguistics, cognitive psychology, comparative psychology, or related areas. We are particularly interested in individuals whose area of research expertise expands the current expertise of the faculty. Candidates who can teach courses in natural language processing or computational modeling courses are especially encouraged to apply.  The Department of Psychology at RIT serves a rapidly expanding student population at a technical university. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Teaching and research are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research and in-class experiences. The successful candidate will be able to teach courses in our undergraduate cognitive psychology track (Memory & Attention, Language & Thought, Decision Making, Judgement & Problem Solving), will be expected to teach research methods/statistics courses at the undergraduate and graduate level, and teach and mentor students in our graduate programs. In addition, candidates must be able to do research and work effectively within the department’s existing lab space. RIT provides many opportunities for collaborative research across the institute in many diverse disciplines such as AI, Digital Humanities, Human-Centered Computing, and Cybersecurity.
-Applications will be accepted until the position is filled. Questions may be directed to Dr. Anthony Rios, chair of the search committee, at Anthony.Rios@utsa.edu. Tenured appointments are contingent upon Board of Regents approval. Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by time of hire. UTSA is an Affirmative Action/Equal Opportunity Employer. Women, minorities, veterans and individuals with disabilities are encouraged to apply.
+We are seeking individuals who have the ability and interest in contributing to a community committed tostudent-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values, honor code, and statement of diversity.
+THE COLLEGE/ DEPARTMENT:
+The Department of Psychology at RIT offers B.S., M.S. degrees, Advanced Certificates, minors, immersions, electives, and a new interdisciplinary Ph.D. degree program in Cognitive Science. The B.S. degree provides a general foundation in psychology with specialized training in one of five tracks: biopsychology, clinical psychology, cognitive psychology, social psychology, and developmental psychology.  The M.S. degree is in Experimental Psychology, with an Advanced Certificate offered in Engineering Psychology. We offer accelerated BS/MS programs with AI, Sustainability, and Experimental Psychology. The Ph.D. degree is in Cognitive Science and the program is broadly interdisciplinary with several partner units across the university. We also offer joint B.S. degrees in Human Centered Computing and Neuroscience.
-== Assistant Professor in Computational Linguistics, Dept. of Linguistics, University of Colorado at Boulder ==
+The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students.
-* Employer: University of Colorado
+THE UNIVERSITY:
-* Title: Assistant Professor of Linguistics
+Founded in 1829, Rochester Institute of Technology is a diverse and collaborative community of engaged, socially conscious, and intellectually curious minds. Through creativity and innovation, and an intentional blending of technology, the arts and design, we provide exceptional individuals with a wide range of academic opportunities, including a leading research program and an internationally recognized education for deaf and hard-of-hearing students. Beyond our main campus in Rochester, New York, RIT has international campuses in China, Croatia, Dubai, and Kosovo. And with more than 19,000 students and more than 125,000 graduates from all 50 states and over 100 nations, RIT is driving progress in industries and communities around the world. Find out more at www.rit.edu .
-* Specialty: Computational Linguistics
-* Location: Boulder, Colorado, USA
-* Deadline: 1 November 2019
-* Date posted:  07 October 2019
-* Contacts: Martha Palmer or Mans Hulden, (martha.palmer@colorado.edu)
-The Department of Linguistics at the University of Colorado Boulder seeks applications for an Assistant Professor tenure-track faculty position in Computational Linguistics beginning Fall 2020.  Within Computational Linguistics we are particularly interested in candidates who use computational methods to address enduring questions in syntax, semantics and/or pragmatics, and other core areas of linguistics. We envision potential applications to Natural Language Processing and/or to discourse and dialogue advances that could be relevant to Human-Computer Interaction. Our primary consideration is the originality, intellectual breadth, and promise of the candidate’s work.  This position will complement the strong, interdisciplinary cohort of Computational Linguistics faculty at CU and be affiliated with both our Center for Computational Language and EducAtion Research (CLEAR), and our cross-college Professional MS in Computational Linguistics, Analytics, Search and Informatics (CLASIC). The successful candidate will also benefit from our interdisciplinary partnerships with the Institute of Cognitive Science.   We are especially interested in qualified candidates who can contribute, through their research, teaching, and service, to the diversity and excellence of our academic community.
+REQUIRED MINIMUM QUALIFICATIONS:
+* Have PhD., or PhD. expected by July 1, 2024 in cognitive psychology or cognitive science related specialty (e.g. linguistics);
+* Have demonstrated ability to conduct independent research in psychology or closely related fields;
+* Have consistently and recently published;
+* Have demonstrated teaching ability and have taught college courses independently beyond TA;
+* Have demonstrated ability to supervise student research;
+* Demonstrate external research grant attainment potential;
+* Demonstrate expertise in research and teaching in cognitive science;
+* Show a career trajectory that emphasizes a balance between teaching and research;
+* Show a fit with the Department of Psychology’s general mission, teaching, research, and resources.
+* Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.
-Full consideration will be given to applications that are completed by November 1, 2019. Applications will be accepted until February 15, 2020.
+HOW TO APPLY:
+Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 8262BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:
+* A brief teaching philosophy
+* A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research
+* The names, addresses and phone numbers for three references
+* Contribution to Diversity Statement (https://www.rit.edu/academicaffairs/facultyrecruitment/forms/Diversity_Statement_Guide_for_candidates_4-12.docx)
-For more details see:
+You can contact the chair of the search committee, Caroline DeLong, Ph.D. with questions on the position at: cmdgsh@rit.edu.
-https://jobs.colorado.edu/jobs/JobDetail/?jobId=20950
+Review of applications will begin October 1, 2023 and will continue until an acceptable candidate is found.
+RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion.  For more information or inquiries, please visit RIT/TitleIX or the U.S. Department of Education at ED.Gov
+== Assistant Professor in Syntax - Department of Linguistics, University of Kentucky ==
+* '''Employer:''' University of Kentucky
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Syntax (with interest in computable syntactic models)
+* '''Secondary expertise:''' semantics, morphology, psycholinguistics
+* '''Location:''' Lexington, Kentucky, USA
+* '''Deadline:''' 11 December 2023
+* '''Date posted:''' 19 September 2023
+* '''Contact:''' Dr. Allison Burkette - [mailto:allison.burkette@uky.edu allison.burkette@uky.edu]
+* '''Application Website:''' https://ukjobs.uky.edu/postings/485221
+The Department of Linguistics in the College of Arts and Sciences at the University of Kentucky in Lexington, Kentucky seeks to fill a tenure-eligible faculty position at the Assistant Professor level in Syntax.  This is a 9-month position in the regular title series with an anticipated start date of August 1, 2024.  The ideal candidate will have demonstrated research expertise in syntax with interest in computable syntactic models, with secondary expertise in semantics, morphology, or psycholinguistics, and an ability to teach courses in a range of these areas.  The Linguistics department is strong in sociolinguistics, computational linguistics, and historical linguistics.  We encourage candidates whose research and teaching interests can contribute to one or more of these areas.  A Ph.D. in Linguistics or related field is required.
+* Interested applicants should apply online at:  https://ukjobs.uky.edu/postings/485221
+* Application deadline for this position is:  11 December 2023.
+Applicants must include the following:
+* cover letter.
+* CV.
+* unofficial transcript.
+* statement of teaching experience (upload as Specific Request 1).
+* statement of research experience (upload as Specific Request 2).
+* a statement on their contribution toward inclusive excellence in teaching, research, professional activities, and/or service (upload as Specific Request 3).
+In addition, please provide the names and contact information for three references when prompted in the academic profile.  This information may be utilized to solicit recommendation letters from your references within the employment system.
-== Assistant Professor of Linguistics, Dept. of Linguistics, University of Kentucky ==
+The University of Kentucky provides comprehensive benefits which are fully described at:  https://hr.uky.edu/employment/working-uk/our-benefits
-* Employer: University of Kentucky
+Questions about this search should be addressed to Dr. Allison Burkette, Department Chair, Department of Linguistics, University of Kentucky, [mailto:allison.burkette@uky.edu allison.burkette@uky.edu].
-* Title: Assistant Professor of Linguistics
-* Specialty: Computational Linguistics
-* Location: Lexington, Kentucky, USA
-* Deadline: 18 November 2019
-* Date posted:  07 October 2019
-* Contacts: Mark Richard Lauersdorf (lauersdorf@uky.edu)
-The Department of Linguistics at the University of Kentucky in Lexington, Kentucky invites applications for a tenure track position at the rank of Assistant Professor of Linguistics to begin August 2020.  The ideal candidate will have demonstrated research expertise using the tools and methodologies of computational linguistics in pursuit of theoretical linguistic questions, and an ability to teach courses in a range of computational and theoretical areas.  We encourage candidates who apply computational methods in one or more of the following areas: syntax, semantics, phonology, phonetics, sociolinguistics, or historical linguistics.  As a department and university, we are strongly committed to creating an inclusive and effective teaching, learning, research, and working environment for all.
+As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities.
-Responsibilities of the position include pursuing an active research program and teaching a total of four courses per year at the introductory, advanced undergraduate, and graduate levels.  Responsibilities also include active participation in the academic life of the department, collaboration with units across campus (e.g., Computer Science, Modern and Classical Languages, Hispanic Studies), pursuing external funding, and providing service to the university and the discipline.  Applicants are expected to have completed their PhD by August 2020.
-Interested applicants should apply online at: http://ukjobs.uky.edu/postings/251804.  Applicants should submit the following: (1) letter of application, (2) current CV, (3) research statement (1-2 pages in which applicant describes current and future research agenda; upload as Specific Request 1), (4) a recent writing sample, (5) teaching statement (1-2 pages in which applicant discusses teaching philosophy and experiences; upload as Specific Request 2), and (6) a diversity statement (1-2 pages in which applicant reflects on commitments, approaches, and insights related to inclusion, diversity, and equity; upload as Specific Request 3).  In addition, please provide the names and contact information for three references when prompted in the academic profile.  This information may be utilized to solicit recommendation letters from your references within the employment system at a more advanced stage of the application process.
+== Assistant Professor - NLP and Data Science, University of California, Davis ==
+* '''Employer:''' University of California, Davis
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Natural Language Processing, Data Science
+* '''Location:''' Davis, California, USA
+* '''Deadline:''' November 15, 2023 (for full consideration)
+* '''Date posted:''' September 12, 2023
+* '''Contact:''' [mailto:aychang@ucdavis.edu Angus Chang]
+* '''Application Website:''' https://recruit.ucdavis.edu/JPF06015
-All applications will be acknowledged.  Deadline for the receipt of applications is November 18, 2019.
+The Departments of Linguistics and Statistics at University of California, Davis jointly invite applications for a tenure-track Assistant Professor position starting Fall 2024. We are seeking an engaged individual, willing to help in creating an exciting environment involving the two thriving departments. A successful candidate is expected to develop a research program at the intersection of Linguistics, Statistics and Data Science. Within this intersection, the candidate’s focus of inquiry will remain wide open. Interests can range from probabilistic approaches to language processing, to the investigation of societal consequences of big language data or the application of computational methods to social sciences, to mention but a few.
-For any questions relating to this position, please contact the chair of the search committee, Mark Richard Lauersdorf, at lauersdorf@uky.edu.
+Desired qualifications include the ability to teach pertinent classes in both linguistics and statistics. Mentoring of undergraduate students, supervision of graduate students, involvement in curricular development, and performance of university service are expected. A Ph.D. in Linguistics, Statistics, Computer Science, Cognitive Science, or a closely related field must be completed by the beginning of instruction.
-The University of Kentucky is an Equal Opportunity Employer and encourages applications from veterans, individuals with disabilities, women, African Americans, and all minorities.
+Applicants should submit: curriculum vitae, a cover letter that clearly states reasons for the candidate’s interest in the position, qualifications, and a summary of academic trajectory; statements of research and teaching interests, official graduate transcripts, one writing sample (publication, submitted manuscript, or dissertation chapter), and three letters of recommendation through the online application system found at: https://recruit.ucdavis.edu/JPF06015. This recruitment is conducted at the Assistant rank. The resulting hire will be at the Assistant rank, regardless of the proposed appointee’s qualifications. Appointment level and salary are commensurate with experience.  A reasonable estimate for this position is $101,000 to $145,000.
+The position will remain open until filled. Applications received by November 15, 2023 will receive full initial consideration.
-== Postdoctoral Research Fellow on Sloan-sponsored NLP project, University of California, Berkeley ==
+The University of California, Davis, is an affirmative action/equal opportunity employer with a strong institutional commitment to the achievement of diversity among its faculty and staff.
-* Employer: UC Berkeley
-* Title: Postdoctoral Fellow
-* Specialty: NLP, definition recognition, text equation analysis, information retrieval
-* Location: Berkeley, CA, USA
-* Deadline: Open until filled
-* Date posted:  September 17, 2019
-* Contacts: Marti Hearst (hearst@berkeley.edu)
-UC Berkeley’s School of Information and CS Division seeks a Postdoctoral Fellow to conduct research and algorithm development in Natural Language Processing, with a sub-interest in Information Retrieval or Citation Analysis.  This position funds a researcher to work alongside Prof. Marti Hearst  on a Sloan-funded project whose goal is to develop intelligent interfaces to the AI scientific literature, in collaboration with researchers and developers at AI2’s Semantic Scholar project.   The Postdoctoral Fellow will develop novel algorithms and software to identify definitions within and between scientific papers in the co-citation network, analyze textual descriptions of mathematical notation, and other relevant NLP and IR research problems.   This ambitious project provides an opportunity to test research results with tens of thousands of users in an open source environment.
-The Postdoctoral Fellow position requires a terminal degree appropriate to your discipline. The position does not have a teaching requirement, but if desired, the Fellow will have opportunities to teach and mentor both undergraduate and graduate students.  The Fellow will be viewed as a colleague, and with mentorship, will be launched to the next career stage.
+== Postdoctoral Researcher in NLP, Bocconi University, Italy ==
+*Employer: Bocconi University, Milan, Italy
+*Title: Postdoctoral Researcher
+*Speciality: NLP
+*Starting date: Oct 1 2023, or any time thereafter
+*Duration: 2 years
+*Deadline: 1st September 2023
+*Salary: Competitive salary. Applicants from outside Italy may qualify for a researcher taxation scheme
+*Date posted: 25th July 2023
+*Contact: <[mailto:debora.nozza@unibocconi.it Debora Nozza]> ([http://www.deboranozza.com/ website])
-Applicants should have experience conducting independent research, demonstrate a record of developing algorithms and supporting software, communicating research via publications and presentations, be excited about the goals of the project and about participating in collaborative, interdisciplinary research. Applicants must have defended their PhD in Computer Science, Information Science, or a related field by the time of employment.
+We are seeking a highly motivated and talented individual to join our research team as a Postdoctoral Researcher in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the algorithmic and application aspects of NLP-based technologies. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab.
-Applicants should have interests in one or more of the following areas: natural language processing, co-citation analysis, information retrieval.  The ideal candidate is deeply interested in analyzing the text of documents via detecting and/or generating explanations and definitions within and between documents in a co-citation network. A background or interest in human computer interaction is a strong additional qualification.
+Your profile:
-'''How do I apply?'''
+* a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
-Interested candidates should prepare a single pdf file containing: (1) a cover letter stating background, experience, interest in the position, and career objectives, (2) a curriculum vitae or résumé, including a link to a web page with publications and other relevant information  (3) the names and contact information for three references who can write a letter on your behalf, and (4) a relevant sample of published work. Send application materials to Prof. Marti Hearst (hearst@berkeley.edu) with the subject line: NLP postdoc application.
+* Excellent programming skills in Python.
+* Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
+* Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch).
+* Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
-'''How much does the position pay?'''
+HOW TO APPLY:
-The University classifies this as a Postdoctoral position. All recipients receive a salary of US $60,000/year for full-time employment as well as full benefits (https://vspa.berkeley.edu/postdoc-health-insurance-and-benefits). Additional funds are available for equipment and professional travel.
-'''When can I apply?'''
+Go to the Bocconi postdoc job market page [https://jobmarket.unibocconi.eu/?type=a&urlBack=%2Fwps%2Fwcm%2Fconnect%2FBocconi%2FSitoPubblico_IT%2FAlbero+di+navigazione%2FHome%2Fdocenti+e+ricerca%2Fdocenti%2FReclutamento+docenti%2FConcorsi%2FAssegni+di+Ricerca%2F Job ad] and search for “Natural language processing”, where you can also find the official job description. Candidates should attach publications and a cover letter to their application.
-Review of applications will begin on October 15, 2019 and will continue until the position is filled.
-'''When does the position start?'''
+Online interviews will take place during September 2023. Please contact <[mailto:debora.nozza@unibocconi.it Debora Nozza]> if you have any questions.
-January 2, 2020 is the preferred start date, although it can start earlier, but we can be flexible depending on other factors. The position will be for one year with possible extension for an additional half year.
-'''Will foreign applicants be considered?'''
-Yes. We highly encourage students from underrepresented groups to apply. UC Berkeley is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.
+== (Senior) NLP Researcher at ASUS Intelligent Cloud Services ==
+* Employer: [https://aics.asus.com/ai-research-en/ ASUS Intelligent Cloud Services (AICS)]
+* Title: AI Researcher
+* Specialty: Machine Learning, Natural Language Processing
+* Location: Singapore or Taipei (Full-Time, Hybrid)
+* Date posted: July 18th, 2023
+* Apply here: [https://aics.asus.com/career-en/ai-researcher/ job posting]
+* Deadline: as long as the job posting above is live
+* Contact: [mailto:stefan_winkler@asus.com Stefan Winkler]
-== Research professor, Department of Computer Science, KU Leuven, Belgium  ==
+The mission of ASUS Intelligent Cloud Services (AICS) is to build revolutionary healthcare solutions using natural language processing, computer vision, and big data analytics. We provide Software as a Service (SaaS) applications to accelerate the effective use of medical records and improve the efficiency of hospital operations, unleashing the power of data for healthcare and bringing transformative impact to the industry.
-* Employer: KU Leuven
+The role of a Researcher is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. As a senior member of the team, you will also help define research directions and guide junior researchers.
-* Title: Research professor
-* Specialty: Representation learning for natural language and multimedia processing
-* Location: Leuven, Belgium
-* Deadline: September 20, 2019
-* Date posted: September 4, 2019
-* Contact: Sien Moens (Sien.Moens@cs.kuleuven.be)
-The Department of Computer Science at KU Leuven has a full-time academic vacancy in the area in natural language and multimedia processing.  The position is a research professorship with strongly reduced teaching responsibilities for the first 10 years.  We seek applications from internationally oriented candidates with an outstanding research track record and excellent didactic skills. The successful candidate will perform research in the Human-Computer Interaction research group. The appointment is expected to start on October 1, 2020.
+'''Responsibilities'''
+* Drive AI/ML research from concepts to feasible output to determine the viability of ideas and technologies.
+* Research and develop innovative ML methods with high impact.
+* Publish and present your work in the top ML/NLP venues.
+* Work with product and engineering teams to transform model prototypes into production, using best practices for model development, management, and maintenance.
+* Establish internal and external partnerships to collaborate on research projects, supervise students and interns.
-More information is available at https://www.kuleuven.be/personeel/jobsite/jobs/55192105?hl=en&lang=en .
+'''Qualifications'''
+* Ph.D. degree in computer science or related discipline.
+* (for senior role) at least 5 years research experience post-PhD, preferably in industry.
+* Strong expertise in state-of-the-art machine learning methods, especially in the domains of natural language processing or time series data analysis.
+* Familiarity with generative models, un-/semi-supervised learning, long-tailed learning, and/or domain generalization.
+* Track record of publications at top peer-reviewed conferences and journals.
+* Hands-on experience with deep learning frameworks such as PyTorch, Keras, and Tensorflow.
+* Knowledge of MLOps and deploying models in production will be beneficial.
+* Strong analytical and problem-solving skills.
-== Postdoctoral researcher, KU Leuven, Belgium ==
+== Applied Machine Learning Scientist at Thomson Reuters Labs London ==
-*Employer: Department of Computer Science, KU Leuven
+* Employer: [https://www.thomsonreuters.com/en/careers/our-jobs/join-thomson-reuters-labs.html Thomson Reuters Labs]
-*Title: Postdoctoral researcher
+* Title: Applied Machine Learning Scientist
-*Speciality: Representation learning in the context of natural language understanding
+* Specialty: Machine Learning, Information Retrieval, and Natural Language Processing
-*Location: Leuven, Belgium
+* Location: London, UK (Full-Time, Hybrid)
-*Deadline: October 15, 2019
+* Deadline: When the [https://careers.thomsonreuters.com/us/en/job/JREQ170402/Applied-Machine-Learning-Scientist job posting] is no longer live
-*Date posted: September 4, 2019
+* Date posted: July 13th, 2023
-*Contact: sien.moens@cs.kuleuven.be
+* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]
+Are you excited about working at the forefront of applying machine learning to real world software problems in Legal, Tax, Compliance, and News? Thomson Reuters Labs in London is seeking machine learning scientists with a passion for solving problems in a collaborative setting with Product and Engineering counterparts.
-We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, continual learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels).
+'''What does Thomson Reuters Labs do?'''
+We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies in close collaboration with the Product and Engineering teams. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. In addition to this co-development and innovation, we also invest in long term research that can shape the future for our products and customers.
-== Postdoctoral fellow on IBM-sponsored NLP for human microbiome project, UC San Diego ==
+As a scientist in TR Labs, you will be part of a global interdisciplinary team of experts. We hire specialists and generalists across a variety of AI research areas, as well as Engineering and Design, to drive the company's digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.
-* Employer: UC San Diego
+'''Why it's an exciting time to join our team?'''
-* Title: Postdoctoral Fellow
-* Specialty: NLP, text mining, knowledge base construction
-* Location: La Jolla, CA, USA
-* Deadline: Open until filled
-* Date posted:  August 22, 2019
-* Contacts: Daniel Freed (CMIinfo@ucsd.edu)
-The automatic knowledge base construction group in the UC San Diego-IBM Artificial Intelligence for Healthy Living (AIHL) program, led by [https://profiles.ucsd.edu/chun-nan.hsu Dr. Chun-Nan Hsu] and [https://knightlab.ucsd.edu/wordpress/?page_id=47 Dr. Rob Knight], is seeking applications of a Postdoctoral Fellow in deep learning for natural language processing to extract microbiome knowledge from the scientific literature. The positions are available immediately. The project will be funded on a contract for three years. The research group is part of [https://cmi.ucsd.edu/ the Center for Microbiome Innovation (CMI)], one of the top research centers in the world in human microbiome research, developing AI, deep learning, and cutting edge data sciences to advance the understanding of the impact of microbiome to health. The knowledge base group has developed one of the most efficient and accurate algorithms in automated understanding of disease mentions in the scientific literature, winning [https://github.com/IBM/aihn-ucsd/tree/master/NormCo-deep-disease-normalization the Best Application Award in the 2019 conference of Automated Knowledge Base Construction (AKBC)]. Our former master student was admitted to prestigious PhD programs with fellowships.
+We have:
-The group resides in the [http://qi.ucsd.edu/ Qualcomm Institute] (UC San Diego division of the California Institute for Telecommunications and Information Technology (Calit2)), the home of multidisciplinary research programs and startups at UCSD. The group has access to powerful GPU computer clouds at CMI and IBM. The group strives to deliver useful knowledge base systems and develop original, innovative, top-tier conference acceptable algorithms simultaneously. Group members work closely with CMI faculties and students and top-notch researchers from IBM in the Bay Area and around the world through frequent virtual and face-to-face meetings. The postdoctoral fellow will be encouraged to take initiation to explore new ideas to accomplish fully automatic knowledge base construction for human microbiome and work on grant proposals to develop into an independent leader of scientific research.
+* $100 million annually we are investing in generative AI technologies such as LLM and chat-based conversational interfaces.
+* 30+ years of experience deploying AI and language models culminating in industry-leading innovations such as Westlaw Edge, Westlaw Precision, Practical Law Dynamic and Checkpoint Edge.
+* 150+ years of providing professionals with trusted, accurate source of legal and tax content, cultivated by over 2,000 subject matter experts.
+* Our new plugin with Microsoft and Microsoft 365 Copilot for legal professionals.
+* Our announced acquisition of Casetext, a leader in legal AI innovation.
-'''Scope of research:'''
+'''About the role'''
-* Learning from structured ontologies
-* Unsupervised, weakly supervised machine learning and active learning for NLP
-* Biomedical concept understanding
-* Event and relation extraction and inference
-'''Qualifications:'''
-* Ph.D. in a relevant discipline, including in the areas of natural language processing, machine learning, or bioinformatics and systems biology
-* Strong record in publications in top-tier AI conferences and Bioinformatics journals
-* Undergraduate or graduate coursework or degree in Biology or a related field is a plus
-'''How to Apply:'''
+As a scientist in TR Labs, you will:
-Please email a completed application form (http://cmi.ucsd.edu/PostDocApplication) and support documents to CMIInfo@ucsd.edu to apply.
+* Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.
+* Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.
+* Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will connect complex business requirements with development deliverables. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.
+* Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.
+* Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.
-''Note: If you have relatives employed at UC San Diego, you must include the name, relationship and department where employed in your resume or cover letter. This information is used only for the purpose of complying with the University’s nepotism policy.
+'''About the company'''
-''
-== Postdocs on Facebook-sponsored neural NLG project, Ohio State University ==
+Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we've been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world's most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
-* Employer: The Ohio State University
+We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
-* Title: Postdoctoral Scholar
-* Specialty: NLG, conversational systems, NLP
-* Location: Columbus, OH, USA
-* Deadline: August 18, 2019
-* Date posted: August 2, 2019
-* Contacts: Michael White (mwhite@ling.osu.edu)
-Multiple postdoctoral scholar positions are open at Ohio State for a Facebook-sponsored project on natural language generation in conversational system with the theme of structure in neural NLG.
+'''About you'''
-Full details are available on the application page: https://www.jobsatosu.com/postings/96937
+''Basic qualifications''
-== Open Rank Professor, iSchool and Department of Criminology and Criminal Justice, University of Maryland  ==
+* Master's or Bachelor's with a comparable level of experience or PhD in a relevant discipline.
+* Proven practical, relevant experience building AI/ML products and applications.
+* Software engineering and / or data engineering skills for prototyping.
+* Experience as a technical contributor in aspects of the following:
+  - comfort in dealing with uncertainty and ambiguity in problem statements and paths to success,
+  - executing the research and development with an iterative mindset and approach,
+  - communication of progress and plans with varied stakeholders.
-* Employer: University of Maryland
+''Preferred qualifications''
-* Title: Open Rank Professor
-* Specialty: Data-driven analyses in crime, law and justice
-* Location: College Park, MD
-* Deadline: October 1, 2019 (deadline for full consideration, late applications may be accepted)
-* Date posted: July 26, 2019
-* Contacts: Katie Shilton (kshilton@umd.edu) and Laura Dugan (ldugan@umd.edu)
-The College of Information Studies (Maryland’s iSchool) and the Department of Criminology and Criminal Justice at the University of Maryland, College Park invite applications for an open rank tenure-track or tenured faculty position with a focus on building systems for and conducting data-driven analyses in crime, law and justice. Examples of possible research approaches include: data mining; information visualization; automating or advancing data pre-processing; signal processing, computer vision, and natural language processing; applied machine learning; algorithmic transparency, debiasing algorithms and data, and algorithmic accountability; and computational
+* Significant practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry.
-social science.
+* Ability to translate research into practical working solutions and applications.
+* Experience in a fast-paced, agile environments managing uncertainty and ambiguity.
+* Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment.
+* Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders.
+* Diverse experiences across problem spaces, companies and cultures.
-We are interested in candidates who apply these topics in the context of criminology, justice, and criminal law (e.g., predictive policing, pretrial risk assessment, database building through open sources, linking criminal records, recidivism prediction, management of bodycam video, face recognition in surveillance images, management of DNA evidence). Candidates with data-driven approaches to related social science topics are encouraged to apply.
+'''What's in it for you'''
-Applicants should apply electronically at https://ejobs.umd.edu/postings/71777.
+You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
+* Technology: Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
+* Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
+* Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
+* Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
+* Learning & Development: LinkedIn Learning access; enterprise-wide company learning days, internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
+* Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
+* Purpose-Driven Work: We have a superpower that we've never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency.  Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
-== Tenure-track Assistant Professor of Computational Linguistics, Boston University  ==
+'''How to Apply'''
-* Employer: Boston University
+For further details and to apply, please follow the link of the [https://careers.thomsonreuters.com/us/en/job/JREQ170402/Applied-Machine-Learning-Scientist job posting].
-* Title: Assistant Professor
-* Specialty: Computational Linguistics
-* Location: Boston, MA
-* Deadline: October 20, 2019 (deadline for full consideration, late applications may be accepted)
-* Date posted: July 24, 2019
-* Contact: Carol Neidle <carol@bu.edu>
-The Boston University Linguistics Department seeks a tenure-track Assistant Professor of Computational Linguistics (for primary appointment in Linguistics, secondary appointment in or affiliation with Computer Science), beginning July 1, 2020, pending budgetary approval; to conduct research, teach courses in Computational Linguistics  and related areas (Linguistics, Computer Science) at introductory and advanced levels, and advise graduate and undergraduate students.  Should have excellent programming skills and experience in computational linguistic research. Experience in application of computational methods to field linguistics or analysis of understudied languages would be a plus. Requirements include PhD in Linguistics (preferred) or Computer Science in hand by start date, with strong background in both fields, and demonstrated excellence in teaching, advising, and research. For further information: http://ling.bu.edu/ and http://www.bu.edu/cs/ .
+== Research Associate in Natural Language Processing (KTP Associate)==
+* '''Employer:''' Department of Computer Science, University of Manchester, UK and 10BE5, London, UK
+* '''Title:''' Research Associate in Natural Language Processing (KTP Associate)
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' London and Manchester, UK
+* '''Deadline:''' March 14, 2023
+* '''Date posted:''' February 28, 2023
+* '''Apply here:''' [https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24920 Full ad and job description]
+* '''Contact:''' Prof. Sophia Ananiadou [mailto:sophia.ananiadou@manchester.ac.uk]
-Applications should be uploaded through https://academicjobsonline.org/ajo/jobs/14064. Full details of application requirements, as well as a statement of the university’s commitment to diversity and inclusion, are available on that site.
+This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project.
-We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
+The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being:
+* a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and
+*  a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms.
-== Full-Time Research Engineer, New York University  ==
+The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs.
-* Employer: New York University
+Candidates will require a PhD in Natural Language Processing and work experience in related domains.
-* Title: Research Engineer
-* Specialty: Open-source software, pretraining and transfer learning
-* Location: New York, USA
-* Deadline: July 31, 2019 (deadline for full consideration, late applications may be accepted)
-* Date posted: July 17, 2019
-* Contact: Sam Bowman <bowman@nyu.edu>
-'m hiring a full-time research engineer. If you're interested in transitioning from software engineering to NLP/ML research, and you'd be up for a stint in an academic lab, there's more information and an application from here: https://apply.interfolio.com/65666
+The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry.
-== PhD in Biomedical Information Extraction, The University of Manchester, UK  ==
+The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations.
-* Employer: University of Manchester
+'''Salary''': £34,308 to £42,155 per annum depending on experience.
-* Title: PhD in Biomedical Information Extraction
+This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget
-* Specialty: Natural Language Processing, Text Mining, Machine Learning
-* Location: Manchester, UK
-* Deadline: May 26, 2019
-* Date posted: May 10, 2019
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
-The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.
+'''Hours''': Full time
-Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline.  Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.
+'''Duration''': Available For 30 Months From Start Date
-Further information can be obtained here:  http://nactem.ac.uk/newsitem.php?item=393
+== Postdoc position up to 3 years ==
-== PhD in Biomedical Information Extraction, The University of Manchester, UK  ==
+*Employer: Bocconi University, Milan, Italy
+*Title: Postdoctoral Researcher
+*Speciality: NLP, bias, hate speech, demographic factors, machine learning
+*Starting date: March 1 2023, or any time thereafter
+*Duration: 2 years, 1 year extension possible
+*Deadline: 23rd January 2023
+*Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
+*Date posted: 12th December 2022
+*Contact: <[mailto:dirk.hovy@unibocconi.it Dirk Hovy]> ([http://www.dirkhovy.com/ website])
-* Employer: University of Manchester
+Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: "Yo, a**hole!" is acceptable among friends but not strangers.
-* Title: PhD in Biomedical Information Extraction
+Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies:
-* Specialty: Natural Language Processing, Text Mining, Machine Learning
+- modeling a complex problem with socio-demographic context,
-* Location: Manchester, UK
+- automating counter-argument and responding to aggressive users, and
-* Deadline: May 26, 2019
+- creating evaluation methods to analyze fairness, performance, and subjectivity.
-* Date posted: May 10, 2019
+Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities. Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab.
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
-The National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science in collaboration with the Faculty of Biology, Medicine and Health, The University of Manchester, offer a PhD scholarship to advance research in neural information extraction applied to cancer mechanisms.
+Your profile:
+* a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
+* Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
+* Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
+* Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
+* Experience with publications in top-tier venues in the field of NLP/Computational Linguistics.
+* Submission of a CV, list of publications, and cover letter.
-Candidates must have a minimum upper second class first degree in Computer Science and an MSc in Computer Science or a related discipline.  Experience in machine learning and neural networks applied to NLP are highly desirable, as is the ability to work in an interdisciplinary setting.
+HOW TO APPLY:
+[https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/SitoPubblico_IT/Albero+di+navigazione/Home/docenti+e+ricerca/docenti/Reclutamento+docenti/Concorsi/Assegni+di+Ricerca/ Online job portal (search for INDOMITA)]
+[https://jobmarket.unibocconi.eu/include/dwload.php?a=NDk3XjQxMTMyNTRhOGU4N2YwNDU3ZjM5ZDc4OWMyMjJkZGJkXi9kMC9hcGFjaGUvam9ibWFya2V0LnVuaWJvY2NvbmkuZXUvZGF0YS91cGxvYWQvQklEL3Nlc3Npb25fMjU1LTIwMjIxMTIzXmpta19zZXNfZmlsZV5qbWZfXmptZl9maWxlXjkyOQ== English job description]
+Candidates should attach publications and a cover letter to their application.
+Online interviews will take place during February 2023.
-Further information can be obtained here:  http://nactem.ac.uk/newsitem.php?item=393
-== 24-month Postdoctoral Position, IRISA (France, Lannion), Paraphrase Generation / Natural Language Generation ==
+== Associate/Full Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics) ==
+* '''Employer:''' University of California, San Diego
+* '''Title:''' Associate/Full Professor
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' San Diego, California, USA
+* '''Deadline:''' January 8, 2023 (for full consideration)
+* '''Date posted:''' December 8, 2022
-* Employer: [https://www.univ-rennes1.fr/ University of Rennes 1]
-* Title: Postdoctoral Researcher
-* Specialty: Natural language processing
-* Duration: 24 months
-* Location: Lannion, France
-* Deadline: until filled
-* Date posted: April 23, 2019
-* Contact: Gwénolé Lecorvé (gwenole.lecorve@irisa.fr), Jonathan Chevelu (jonathan.chevelu@irisa.fr)
-'''Overview'''
+''' APPLICATION WINDOW'''
-IRISA [https://www.irisa.fr/] is the largest research laboratory dedicated to computer science in France, hosting more than 800 people and 40 research teams. Its activities spans all the fields of computer science. It is located in Rennes, Lannion, and Vannes.
+'''Open date''': November 21, 2022
-The Expression team [https://www-expression.irisa.fr/] works on natural language processing (NLP), be it through texts, speech or gestures. In particular, it focuses on the expressive components of the human languages.
+'''Next review date''': Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)
-The opened position is part of the ANR TREMoLo project [http://tremolo.irisa.fr] hosted by the team and aimed at transforming the language register of texts, for instance mapping a text from the formal register to the casual one. This involves work on linguistic characterization, pattern mining and paraphrase generation. The activities are conducted on the French language.
+Apply by this date to ensure full consideration by the committee.
-The recruited person will work on a paraphase generation and propose solution to integrate register-specific stylistic constraints. She/he is expected to investigate on the use of statistical and neural paraphrasing systems, that is:
+'''Final date''': Friday, Jun 30, 2023 at 11:59pm (Pacific Time)
-* Training of a baseline systems using either statistical or neural approaches.
-* Intregration of constraints formulated as sequential patterns.
-* Organization of evaluation campaigns.
-'''Job requirements'''
+Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
-* PhD in natural language processing or machine learning
-* Top academic and publication records
-* Good communication skills
-* Team work experience
-* Knowledge in French is a plus but is not required.
-== Postdoctoral Position Available in Natural Language Processing and Human-Robot Interaction, Army Research Lab ==
+'''POSITION DESCRIPTION'''
-* Employer: [https://www.orau.org/arlfellowship/ US Army Research Laboratory]
+The University of California, San Diego invites applications for a tenured Associate or Full Professor in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.
-* Title: Postdoctoral Researcher
-* Specialty: Natural language processing, human-robot interaction, dialogue systems
-* Location: Adelphi, Maryland, United States with ~8 weeks of travel per year to Boston
-* Deadline: April 30, 2019 (or until filled)
-* Date posted: April 15, 2019
-* Contact: Matthew Marge (matthew.r.marge.civ@mail.mil)
-'''Overview'''
+Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.
-The [https://www.arl.army.mil US Army Research Laboratory] (ARL) is welcoming applications for a one-year renewable (up to 3 years) postdoctoral position at the intersection of natural language processing (NLP) and human-robot interaction (HRI), focusing on dialogue with robots. The successful candidate will contribute to the research and development of the project, “Learning about the Physical World Autonomously through Information-Theoretic Dialogue”, funded by the Office of the Secretary of Defense's Laboratory University Collaboration Initiative (LUCI) Fellowship. The goal of the project is to investigate techniques for robots to learn, from natural language dialogue, about objects and actions in the physical world.
+We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.
-In support of this effort, ARL is looking for an individual with a PhD or equivalent experience, with interest and a background in human-robot interaction, natural language processing, symbol grounding, and/or dialogue systems. We plan to develop an approach to detecting uncertainty about objects and actions using multiple modalities (e.g., language and vision), so that robots can initiate natural language questions that humans can answer that maximize the agent's information gain in a situation.
+Authorization to work in the U.S. is a precondition of employment.
-The project is supervised by Dr. Matthew Marge (ARL), with co-PI Dr. Gordon Briggs (NRL), and faculty collaborator Prof. Matthias Scheutz (Tufts University). The successful candidate will collaborate with the PIs on designing human-robot interaction experiments and developing techniques to support human-robot dialogue systems.
+'''QUALIFICATIONS'''
+'''Basic qualifications''' (required at time of application)
+PhD in Data Science, Computer Science, Linguistics, or related discipline.
+Track record of published research in Data Science or related field.
+'''Preferred qualifications'''
+We seek applicants with an outstanding track record of research accomplishments, excellence in teaching, service, and a commitment to support diversity, equity and inclusion at the university.
+'''APPLICATION REQUIREMENTS'''
+'''Document requirements'''
+Cover Letter
+Curriculum Vitae - Your most recently updated C.V.
+Statement of Research
+Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.
+Statement of Teaching
+Teaching Evaluations (Optional)
+Institutional Reference Check - UC San Diego requires all candidates for academic appointments with tenure or security of employment to complete, sign, and upload the form entitled "Authorization to Release” into RECRUIT as part of their application. Additional information is available online:
+https://aps.ucsd.edu/recruitment/background_check/.
+Misc / Additional (Optional)
+'''Reference requirements'''
+-5 letters of reference required (contact information only)
+'''Apply link''': https://apol-recruit.ucsd.edu/JPF03447
+'''Help contact''': d1dutson@ucsd.edu
+'''CAMPUS INFORMATION'''
+The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.
+As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
+The University of California prohibits smoking and tobacco use at all University controlled properties.
+The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.
+'''JOB LOCATION'''
+San Diego
+== Assistant Professor - Chancellor's Joint Initiative: Natural Language Processing (HDSI/Linguistics) ==
+* '''Employer:''' University of California, San Diego
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' San Diego, California, USA
+* '''Deadline:''' January 8, 2023 (for full consideration)
+* '''Date posted:''' December 8, 2022
+''' APPLICATION WINDOW'''
+'''Open date''': November 21, 2022
+'''Next review date''': Sunday, Jan 8, 2023 at 11:59pm (Pacific Time)
+Apply by this date to ensure full consideration by the committee.
+'''Final date''': Friday, Jun 30, 2023 at 11:59pm (Pacific Time)
+Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
+'''POSITION DESCRIPTION'''
+The University of California, San Diego invites applications for an Assistant Professor (tenure-track) in the broad area of Natural Language Processing. This position will hold a joint appointment in the Department of Linguistics and the Halicioğlu Data Science Institute (HDSI), to begin in Fall 2023.
+Data Science is beginning to advance our understanding of society and human behavior in ways that pose grand challenges to our understanding of how humans learn, use, and process natural language. HDSI is pursuing a strategy for advancing Data Science that builds upon its unique strengths in creating interdisciplinary research areas that span multiple disciplines and departments. The Department of Linguistics takes a strong interdisciplinary approach to language research that combines theory, computation, and experimentation. The department plays a central role in the new Computational Social Science (CSS) program within the School of Social Sciences, creating an excellent opportunity to collaborate in bringing together the emerging discipline of Data Science with research challenges in Linguistics, to be led by scholars with strong linguistic, quantitative, and computational skills.
+We seek exceptional candidates with a strong record of publications and research in this interdisciplinary area. The selected candidate is expected to teach undergraduate and graduate level courses, as well as mentor students, in both Linguistics and HDSI. They will conduct and publish research and participate in professional activities (e.g., conferences) in the field of Natural Language Processing. They are also expected to participate in department and university service as academic members of the campus community.
+Authorization to work in the U.S. is a precondition of employment.
-The position is available immediately with a duty station at the Adelphi Laboratory Center (ALC), Adelphi, MD (Washington, D.C. metro area), with extended travel (~8 weeks per year) to Boston, MA to visit the Human-Robot Interaction Lab at Tufts University and periodic travel to the Laboratory for Autonomous Systems Research at the Naval Research Laboratory, Washington, D.C.
+'''QUALIFICATIONS'''
+'''Basic qualifications''' (required at time of application)
+PhD or Advancement to Candidacy in Data Science, Computer Science, Engineering, Linguistics, Mathematics/Statistics, or related discipline.
+'''APPLICATION REQUIREMENTS'''
+'''Document requirements'''
+Cover Letter
+Curriculum Vitae - Your most recently updated C.V.
+Statement of Research
+Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.
+Statement of Teaching
+Teaching Evaluations (Optional)
+COVID-19 Impact Statement - We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and where applicable, to discuss your achievements in this light. (Optional)
+Misc / Additional (Optional)
+'''Reference requirements'''
+-5 letters of reference required
+'''Apply link''': https://apol-recruit.ucsd.edu/JPF03446
+'''Help contact''': d1dutson@ucsd.edu
+'''CAMPUS INFORMATION'''
+The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, covered veteran status, or other protected categories covered by the UC nondiscrimination policy.
+As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
+The University of California prohibits smoking and tobacco use at all University controlled properties.
+The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statement & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.
+'''JOB LOCATION'''
+San Diego
+== ML/NLP Internship (6-month) with Thomson Reuters Labs London ==
+* Employer: [https://innovation.thomsonreuters.com/en/labs.html Thomson Reuters]
+* Title: Applied Research Intern, ML/NLP
+* Specialty: Machine Learning and Natural Language Processing
+* Location: London, UK
+* Deadline: When the [https://jobs.thomsonreuters.com/job/17028107/applied-research-intern-nlp/ job posting] is no longer live
+* Date posted: November 28th, 2022
+* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]
+Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in London is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.
+'''What does Thomson Reuters Labs do? '''
+We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.
+As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company's digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
+The internship duration at Thomson Reuters Labs is typically up to six months and may be aligned with an academic semester or depending upon your availability. It can begin immediately.
+'''About the role'''
+As a data scientist/research scientist intern you will:
+* Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.
+* Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
+* Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
+'''About you'''
+This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you!
+* Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks.
+* Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS).
+* Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy and HuggingFace.
+* Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
+* Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines.
+* Have good communication skills and the ability to work collaboratively as part of a team.
+'''What's in it for you'''
+* Learning & Development: On-the-job coaching & learning as well as the opportunity to work with cutting-edge methods and technologies.
+* Plenty of Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.
+* Competitive Compensation: The opportunity to earn while learning new skills.
+'''How to Apply'''
+For further details and to apply, please follow the link of the [https://jobs.thomsonreuters.com/job/17028107/applied-research-intern-nlp/ job posting].
+== Postdoctoral Researcher: Natural language processing (Cognitive Computer Lab, AI Research Center, Jeonbuk National University, KR) ==
+* '''Employer:''' Jeonbuk National University
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' Jeonju, South Korea
+* '''Deadline:''' November 29, 2022
+* '''Date posted:''' November 17, 2022
+We are recruiting for a postdoctoral researcher who can start to work as early as possible in 2023 (or December in 2022) for pursuing various hot topics in NLP & AI, such as Knowledge enhanced pretrained language models, Memory-augmented language models, Language & vision, Neuro symbolic approaches, symbolic knowledge extraction from pretrained models, etc.
+The details of the job posting are below and the application deadline is '''29th November 2022'''. If you'd like to check the details, please contact Prof. Seung-Hoon Na (nash@jbnu.ac.kr).
+Job link: https://nlp.jbnu.ac.kr/announcement_postdoc.html
+Contract: Initially one year, extendible to additional two years.
+How to apply: Please send your CV and Google Scholar to nash@jbnu.ac.kr if interested.
+== Lectureship or Senior Lectureship in Natural Language Processing, University of Manchester, UK==
+* '''Employer:''' Department of Computer Science, University of Mancheser, UK
+* '''Title:''' Lecturer or Senior Lecturer in Natural Language Processing
+* '''Specialty:''' Natural Language Processing
+* '''Location:''' Manchester, UK
+* '''Deadline:''' Nov 30, 2022
+* '''Date posted:''' Nov 4, 2022
+* '''Apply here:''' [https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=23776 Full ad and job description]
+* '''Contact:''' Prof. Sophia Ananiadou [mailto:sophia.ananiadou@manchester.ac.uk]
+We offer a Lectureship or Senior Lectureship in Natural Language Processing at the Department of Computer Science at the University of Manchester, UK. The appointment will further strengthen the research profiles of the AI/NLP and text mining research groups at the University of Manchester and the growing activities in AI.
+We are looking for an outstanding candidate who has a vision for making a significant impact on NLP research and its applications. You should have major strengths in core natural language processing and deep learning with emphasis in one or more of these areas: natural language generation, explainable NLP, multimodal conversational AI, multimodal social media analysis etc, in various domains, including health, medicine, digital humanities, finance, etc.
+The successful candidate should have the following research profile:
+* Computer Science with emphasis in Natural Language Processing or equivalent relevant experience
+* Previous experience in research and development of NLP
+* Excellent knowledge of deep learning (e.g. generative models, weakly-supervised learning, transfer learning).
+* Familiarity with machine learning libraries (e.g. TensorFlow, PyTorch) and NLP libraries (e.g. spaCy, HuggingFace).
+* Knowledge and understanding of pre-trained language models (e.g. BERT and GPT)
+* Excellent English and academic writing skills.
+* Ability to conduct basic and independent research in NLP demonstrated by existing publications in journals and conferences such as ACL, EMNLP, NAACL, SIGIR, IJCAI, Coling, AAAI.
+* Demonstrate ability to write grant proposals.
+'''Salary''': Lecturer £38,592 to £53,353 per annum, depending on experience; Senior Lecturer £54,949 to £65,578 per annum, depending on experience
+'''Hours''': Full time
+'''Duration''': Permanent
+== Multiple Tenure-Track Positions in Information Science, Drexel University ==
+* '''Employer:''' Drexel University, Department of Information Science
+* '''Title:''' Assistant and/or Associate Professor levels
+* '''Specialty:''' Artificial Intelligence and Data Science
+* '''Location:''' Philadelphia, PA
+* '''Deadline:''' Nov 30, 2022 (for full consideration) or until filled
+* '''Date posted:''' Oct 31, 2022
+* '''Start date:''' Sept. 1, 2023
+* '''Apply here:''' [https://careers.drexel.edu/en-us/job/499765/assistant-professor-tenure-track-tenured-faculty-is-dept-in-artificial-intelligence-al-and-data-science Full ad and job description]
+* '''Contact:''' [mailto:jw3477@drexel.edu Dr. Jake Ryland Williams]
+The Department of Information Science in Drexel University's College of Computing and Informatics invites applications for multiple tenure-track and tenured faculty positions at the Assistant Professor and Associate Professor levels in Artificial Intelligence (AI) and Data Science (DS). While all competitive applications in these areas will be considered, the IS Department particularly encourages:
+* '''AI applicants''' focused on use-inspired research, human-AI teaming, neuro-symbolic methods, and human language technologies; and
+* '''DS applicants''' focused on research in scalability, cloud-based technologies and crowd work, deep learning frameworks, and on data engineering for and with machine learning.
+Applications are encouraged from candidates with interest in using their focus area(s) to solve socially relevant problems at the intersection of computer, data, and information sciences that are synergistic, mutually supportive, and leverage the strengths of our College, University, and greater geographic region. Within cover letters, candidates should justify how their research interests are complementary to current research of the department.
+Applicants should submit a cover letter, CV/resume, list of references, and statements describing their research program and teaching interests. Applicants are encouraged to use teaching and research statements to reflect on their experiences in promoting diversity and inclusion. To be considered, applications must be submitted online through Drexel Careers. Please apply online at:
+* https://careers.drexel.edu/en-us/job/499765/assistant-professor-tenure-track-tenured-faculty-is-dept-in-artificial-intelligence-al-and-data-science
+Evaluation of applications will be conducted on a rolling basis until all positions are filled. '''Applicants should apply by November 30th, 2022, for full consideration.'''
+For inquiries, please contact [mailto:jw3477@drexel.edu Dr. Jake Ryland Williams] (https://jakerylandwilliams.github.io/). Date posted: October 31, 2022
+== Assistant Professor in Computational Language Science, University of Florida Department of Linguistics==
+* '''Employer:''' University of Florida, Department of Linguistics
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Computational Language Science
+* '''Location:''' Gainesville, FL
+* '''Deadline:''' Nov 22, 2022 (for best consideration) or until filled
+* '''Date posted:''' Oct 12, 2022
+* '''Start date:''' Aug 16, 2023
+* '''Apply here:''' [https://explore.jobs.ufl.edu/en-us/job/524198/assistant-professor-in-computational-language-science Full ad and job description]
+* '''Contact:''' Dr. Ratree Wayland [mailto:ratree@ufl.edu]
+The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational approaches to '''sociolinguistics, semantics, and pragmatics'''.
+UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.
+The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required.  Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2023. '''Review of applications will begin on Nov 22, 2022 and will continue until the position is filled.''' The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.
+== Assistant Professor: Linguistics / Computational Linguistics (Tenure Track) (University of Illinois Chicago) ==
+* '''Employer:''' University of Illinois Chicago
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Computational Linguistics
+* '''Location:''' Chicago, Illinois, USA
+* '''Deadline:''' January 2, 2023
+* '''Date posted:''' October 11, 2022
+The University of Illinois Chicago Department of Linguistics invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2023.
+Responsibilities include pursuing an active research agenda, teaching courses in linguistics and computational linguistics, and contributing to the Department, the School of Literatures, Cultural Studies, and Linguistics, the university, and the community through service activities. The successful candidate will play an important role in the continued development of our CS + Linguistics program, which is a collaboration between the Department of Linguistics in the College of Liberal Arts and Sciences, and the Department of Computer Science in the College of Engineering.
+Candidates must hold a Ph.D. in linguistics, computational linguistics, computer science, or a closely related field by August 15, 2023. ABD applicants may be considered.
+To Apply:
+For fullest consideration, candidates are strongly encouraged to submit their applications and all supporting materials at https://uic.csod.com/ux/ats/careersite/1/home/requisition/1475?c=uic by January 2, 2023.
+The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters at https://www.hr.uillinois.edu/cms/one.aspx?portalId=4292&pageId=5705 to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify.
+The university provides accommodations to applicants and employees. Request Accommodation at https://jobs.uic.edu/request-and-accomodation/
+== Postdoctoral Researcher: Text Generation & Information Extraction for Clinical Records (University of Glasgow, UK) ==
+* '''Employer:''' University of Glasgow
+* '''Title:''' Postdoctoral Research Associate
+* '''Specialty:''' Text Generation & Information Extraction
+* '''Location:''' Glasgow, United Kingdom
+* '''Deadline:''' November 29, 2022
+* '''Date posted:''' October 31, 2022
+We are recruiting for an EPSRC New Horizons project looking at '''text generation for synthetic medical records''' and how they can be used as part of an '''information extraction''' system. We're excited to work with the team at NHS Safe Havens Greater Glasgow & Clyde to look at how NLP can help the NHS team get the best information out of medical records. This project is led by Dr Graham McDonald, Dr Jake Lever and Prof Iadh Ounis.
-'''Job requirements:'''
+The details of the job posting are below and the application deadline is extended to '''29th November 2022'''. If you'd like to chat about the details, please contact Jake Lever (jake.lever@glasgow.ac.uk).
-* Ph.D. or equivalent research experience in computer science, artificial intelligence, computational linguistics, human-robot interaction, computer engineering or related field.
-* U.S. citizenship is preferred.
-To learn more about this position, or to apply, please send questions or a CV to Dr. Matthew Marge at matthew.r.marge.civ@mail.mil.
+Job link: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=098788
-== Associate Research Scientist in Natural Language Processing, UKP Lab, TU Darmstadt ==
+== Postdoctoral Researcher: Natural Language Processing, Language+Vision (Penn State, PA) ==
+* '''Employer:''' Penn State University
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' Natural Language Processing, Language+Vision
+* '''Location:''' State College, PA
+* '''Deadline:''' December 31, 2022
+* '''Date posted:''' October 07, 2022
-* Employer: [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
+The LanguageX lab at Penn State (https://www.wenpengyin.org/languagex-lab), led by Prof. Wenpeng Yin,  is looking for a postdoctoral researcher who can start to work as early as possible in 2023. The research area is flexible in Natural Language Processing (NLP), Language+Vision, or other language-driven AI problems.
-* Title: Associate Research Scientist
-* Specialty: Natural Language Generation, Semantics and Discourse Processing, Multi-document Information Consolidation
+Contract: two years with a competitive salary
-* Location: Darmstadt
-* Deadline: April 30, 2019 (or until filled)
+Requirement: outstanding research record, such as your publications.
-* Date posted: April 12, 2019
-* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
+How to apply: Pls send your CV and Google Scholar to wyin.record@gmail.com if interested. Shortlist will be invited for interview.
+== IDEA Fellow: Ethical AI, Information Systems, and Data Science/Literacy (Stony Brook, NY) ==
+* '''Employer:''' Stony Brook University
+* '''Title:''' Lecturer
+* '''Specialty:''' Ethical AI, information systems, data science/literacy
+* '''Location:''' Stony Brook, NY
+* '''Deadline:''' October 17, 2022
+* '''Date posted:''' September 30, 2022
+The Department of Linguistics at Stony Brook University is participating in a University-wide interdisciplinary hiring initiative, the IDEA (Inclusion, Diversity, Equity & Access) Fellows program. The full ad and job description are linked below. The overall initiative spans 5 key areas, and we specifically encourage applicants whose research interests are in "Ethical AI, Information Systems, and Data Science & Literacy".
+'''[https://www.stonybrook.edu/commcms/provost/initiatives/idea.php#/tab1 Full ad and job description]'''
+This is a two-year lecturer position appointed at an annual salary of $80,000 with comprehensive state benefits, to commence in Fall 2023. The fellows will be part of a mentored research environment, with a modest teaching load. Multiple fellows will be hired across 5 thematic hiring areas. At the completion of this two-year position, fellows with an upward trajectory of scholarly achievement and a demonstrated contribution to inclusion, diversity, and equity will be invited to join the tenure-track faculty at Stony Brook University through an internal promotion process.
+Candidates with PhDs (completed by the start date in Summer 2023) from all subfields whose interests and activities align with the IDEA Fellows program are encouraged to apply. The Department of Linguistics provides an excellent and collegial environment for research and scholarship.
+Applications will be accepted until ''October 17, 2022.''
+Web Address for Applications: [https://apply.interfolio.com/113220 https://apply.interfolio.com/113220]
+Contact Information:
+Professor Lori Repetti [mailto:lori.repetti@stonybrook.edu lori.repetti@stonybrook.edu]
+== Assistant Professor in Computational Linguistics (Montclair, NJ) ==
+* '''Employer:''' Montclair State University
+* '''Title:''' Assistant Professor
+* '''Specialty:''' Computational Linguistics
+* '''Location:''' Montclair, NJ
+* '''Deadline:''' The position is open until filled and application review begins immediately.
+* '''Date posted:''' September 10, 2022
+The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023.
+Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics.  We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia.  The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus.
+Link to submit your application: [ https://montclair.wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assistant-Professor-of-Linguistics--Computational-Linguistics_R1002553 ]
+Further information about the department and the research interests of its faculty is available at [ http://www.montclair.edu/chss/linguistics/]
-The [https://www.informatik.tu-darmstadt.de/ukp/ukp_home/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+''COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS''
+The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences,  offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics.  The Montclair State Linguistics Department faculty are all actively engaged in research.
-'''Associate Research Scientist'''<br>
+''THE UNIVERSITY''
-'''(PhD-level; for an initial term of two years)'''
+Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment.
-This position should further strengthen the group’s profile in one or more areas of Natural Language Processing (NLP), such as natural language generation, semantics and discourse processing, or multi-document information consolidation.
+''QUALIFICATIONS''
+Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics.
-UKP Lab is a research group comprising over 30 team members who work on various aspects of data-driven NLP and machine learning with their novel applications in various domains, e.g. conversational IR systems, scientific literature analysis, or social media mining.
+''DIVERSITY, EQUITY & INCLUSION STATEMENT''
+Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen.  As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students.
-We ask for applications from candidates in Computer Science with a specialization in Natural Language Processing or Text Mining, preferably with prior expertise in the relevant areas of computer science and strong programming skills. Experience with neural network architectures and demonstrable engagement in open source projects are strong advantages. Strong communication skills in English are a must.
+''SALARY RANGE  ''   Commensurate with experience
+''STARTING DATE  ''   September 1, 2023
+''REQUIRED MATERIALS:''
+*     Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process.
+*      3 letters of recommendation, which can be sent to: lingsearch2022@montclair.edu
-UKP’s provides an excellent cooperation network with both top academic and industrial partners in Artificial Intelligence (AI), and a supportive research environment within the lab. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique profile around AI and the DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, machine learning, and scalable infrastructures for the assessment and aggregation of information. UKP Lab is a high-profile research group committed to cutting-edge research, dynamic operations, cooperative work style and close interaction of team members. The selected candidates will have an opportunity for professional growth according to their seniority level.
+''APPLY BY: ''  The position is open until filled and application review begins immediately.
-Applications should include a detailed CV, a motivation letter and an outline of previous work or research experience (if available).
+You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022@montclair.edu.
-Applications from women are particularly encouraged.
-All other things being equal, candidates with disabilities will be given preference.
-Please submit your application via the following form by April 30th, 2019: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment.
+AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION
-The position is open until filled.
-== Senior Research Scientist - Natural Language Processing at Bosch Research ==
-* Employer: Bosch Research
-* Title: Senior Research Scientist (Principal level position also available)
-* Specialties: Natural language processing, natural language understanding, information retrieval, question answering, information extraction.
-* Location: Sunnyvale, CA, USA
-* Deadline: N/A (The position is open until filled)
-* Date Posted: March 7, 2019
-* Website: http://smrtr.io/_cXw
-'''Company Description'''
-The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design. In all areas we work in close collaboration with our partners at leading US universities, leading-edge industry partners, and other worldwide Bosch research, development, and marketing units.
+== Postdoctoral fellow: Georgetown University Neuroscience of Language training program (Washington, DC) ==
+* '''Employer:''' Georgetown University
+* '''Title:''' Postdoctoral Fellow
+* '''Specialty:''' Neuroscience of Language
+* '''Location:''' Washington, DC
+* '''Deadline:''' Applications accepted on a rolling basis
+* '''Date posted:''' 20 July 2022
-The focus of our global HMI research includes Visual Computing, Audio and Language Computing, Conversational AI, Smart Wearables and Haptics, User Experience (UX) and Human Factors, etc. We develop intuitive, interactive and intelligent solutions to enable an inspiring UX for Bosch products and services in application areas such as autonomous driving, car infotainment and driver assistance systems (ADAS), Industry 4.0 and Internet of Things (IoT), security systems, smart home and building solutions, health care, and robotics.
+Georgetown University’s new [https://sites.google.com/georgetown.edu/neuro-lang Neuroscience of Language T32 training program] is seeking
+postdoctoral fellows. The Neuroscience of Language program provides training in the brain basis
+of language, as well as sensory, motor, and cognitive systems as they pertain to language and
+communication. Georgetown has a number of faculty focused on Neuroscience of Language
+research, ranging from basic work on auditory or language processing (spoken, signed, and written
+language) to clinical trials in adults and children with brain injuries affecting language. Interactions
+with Georgetown’s highly regarded Linguistics Department, as well as Children’s National Hospital
+and MedStar National Rehabilitation Hospital, provide us with access to additional faculty and
+research populations and further enrich the training environment.
-As a part of the global Human Machine Interaction research unit, our Language and Audio Computing group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the fields of text and audio processing, including natural language processing, natural language understanding, question answering, information retrieval, and audio signal processing. We work on solutions to hard challenges of truly understanding the human language and audio signals, extracting the semantics from text and audio, and enabling natural, intuitive and intelligent HMI and personal assistance. We work with internal partners at various Bosch business units to transfer our ideas and solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g., ACL, EMNLP, NAACL, COLING, AAAI, ISWC, Interspeech, ICASSP
+Individuals with doctoral degrees from any field related to Neuroscience of Language
+(Neuroscience, Cognitive Science, Linguistics, Psychology, Communication Disorders, etc.) are
+encouraged to apply. Fellows will be supported for two years and will develop an individualized
+training plan to provide expertise across disciplines important to Neuroscience of Language
+research. Fellows will take coursework as needed and will participate in a regular journal club and
+seminar series, clinical experiences, community engagement activities, and professional
+development activities, in addition to conducting research in the neuroscience of language. The
+overall goal of the program is to develop well-rounded scientists who have a broad perspective on
+basic and clinical Neuroscience of Language.
-'''Job Description'''
+Fellows will work with one or more of the following investigators: Drs. Thomas Coate, Guinevere
+Eden, Rhonda Friedman, William Gaillard, Anna Greenwald, Xiong Jiang, Elissa Newport, Josef
+Rauschecker, Max Riesenhuber, Ella Striem-Amit, Ted Supalla, Peter Turkeltaub, and Michael
+Ullman. Collaborations among our faculty are common and a strength of our program.
-* Drive advanced research and engineering of Natural Language Processing (NLP) technologies
+Appointments are funded at standard NIH NRSA stipend rates, with an initial one-year term to be
-* Apply research results to Bosch prototypes, products and services of information retrieval, question answering, conversational AI, and information extraction.
+renewed for an additional year if fellows meet the program requirements.
-* Working together with Bosch business units to integrate the resulting system/software into Bosch platform with high quality implementation
-* Summarize research findings in high-quality paper and/or patent submissions
-== Natural Language Processing Research Associate (KTP Associate) in Wilmslow, Cheshire, UK ==
+U.S. citizens or permanent residents who currently hold a doctoral degree or will have met all
+doctoral program requirements before starting the program are eligible to apply. Individuals from
+[http://www.nsf.gov/statistics/wmpd/ groups recognized to be underrepresented in the sciences are encouraged to apply].
-* Employer: University of Manchester
+Please submit the following application materials via the [https://forms.gle/eEBab9cYSGwYYmrk7 application form].
-* Title: Natural Language Processing Research Associate (KTP Associate)
+* CV
-* Specialty: Natural Language Processing, Text Mining, Machine Learning
+* Personal statement describing career goals, prior research, goals for postdoctoral training, and lab(s) of interest (3 pages)
-* Location: Wilmslow, Cheshire, UK
+* Names and contact information for three references
-* Deadline: April 7, 2019
+* Writing sample (manuscript or dissertation)
-* Date posted: March 7, 2019
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
-An exciting opportunity has arisen for an ambitious graduate who has the ability and confidence to undertake a Knowledge Transfer Partnership (KTP) project between the National Centre for Text Mining (NaCTeM), University of Manchester and Bott and Co.
+Contact Dr. Peter Turkeltaub ([mailto:peter.turkeltaub@georgetown.edu peter.turkeltaub@georgetown.edu]) with any questions about the
+program or eligibility. Contact Rachel Galginaitis ([mailto:rg1171@georgetown.edu rg1171@georgetown.edu]) with questions about
+the application process.
-Bott and Co is a multiple award-winning solicitors based in Wilmslow, near Manchester, with particular expertise in flight delay compensation, holiday sickness and road traffic accident claims.
+== Postdoctoral researcher in Explainable AI - and Medical Natural Language Processing (KU Leuven, Belgium) ==
+* '''Employer:''' KU Leuven – Katholieke Universiteit Leuven
+* '''Title:''' Postdoctoral Researcher
+* '''Specialty:''' NLP, Explainable AI, Argumentation, Clinical NLP
+* '''Location:''' Leuven, Belgium
+* '''Deadline:''' 31 July 2022
+* '''Date posted:''' 14 July 2022
-The successful KTP associate will work with supervisors from both NaCTeM and Bott on a 30 month project, which has the overall aim of building a state-of-the-art Natural Language Processing (NLP) system for legal text mining and predictive modelling (PM).
+We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification (e.g. diagnosis prediction) in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity.
+The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations).
+We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation.
+KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022).
+'''Offer'''
+* We offer a research position for 2 years starting September 1 or the latest October 1, 2022.
+* We offer a competitive wage and yearly budget to attend conferences.
+* We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching.
+*  Access to our deep learning cluster which contains the latest GPU hardware.
+If interested,please apply the latest by July 31, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found.
+'''Responsibilities'''
+* Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues.
+* Collaborate with the other European partners of the ANTIDOTE project.
+* Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses.
+'''Profile'''
+* You have (or are near completion of) a master or PhD in Computer Science .
+* Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa.
+* You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus.
+* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing.
+* You are good at collaborating with others.
+* You work proactively and independently and have good communication skills.
+* You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian).
+* You are highly motivated, ambitious and result-oriented.
-The position will provide you with a unique opportunity to apply state-of-the-art methods in NLP and PM in the scope of legal analysis.
+For more information please contact Dr Damien Sileo mail: [mailto:damien.sileo@kuleuven.be damien.sileo@kuleuven.be] or Prof. Dr. Marie-Francine Moens, mail: [mailto:sien.moens@kuleuven.be sien.moens@kuleuven.be]  with [XAI22] in your e-mail subject and a CV.
+== Research Fellow in Natural Language Processing (AI Research Center, Japan) ==
+* Employer: AIRC, Japan
+* Title: Research Fellow in Natural Language Processing
+* Specialty: NLP, neural information extraction, deep learning
+* Location: Tokyo, Japan
+* Deadline: 15 July 2022
+* Date posted: 14 June 2022
+* Contact: Prof. Sophia Ananiadou [mailto:sophia.ananiadou@manchester.ac.uk sophia.ananiadou@manchester.ac.uk], Prof. Makoto Miwa [mailto:makoto-miwa@toyota-ti.ac.jp makoto-miwa@toyota-ti.ac.jp]
+This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.
-This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry.
+Essential knowledge, skills and experience:
+* A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
+* Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
+* Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
+* Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
+* Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
+* Fluent in English with excellent academic writing skills.
-ESSENTIAL SKILLS
+Duration: full time position, 24 months, with possibility of extension.
-* BSc and MSc degree in Computer Science or related areas
+Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.
-* Specialist (PhD-level) knowledge in Natural Language Processing or extensive experience in the development of NLP/text analysis software
-* Experience in use of deep learning for NLP/text mining
+Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.
-* Experience of machine learning (especially of context aware linear models for multi-task learning, and of active learning) for NLP/text mining
-* Experience of probabilistic inference, predictive modelling and decision making
+To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.
-* Software development experience in Java or Python
+Deadline for applications: 15/07/2022.
+== Postdoctoral Researcher in NLP, University of Southampton, United Kingdom ==
+* Employer: University of Southampton
+* Title: Research Fellow in Natural Language Processing
+* Specialty: NLP, Computational Linguistics
+* Location: Southampton, United Kingdom
+* Deadline: 26th June 2022
+* Date posted: 6th June 2022
+* Duration: 24 months
+* Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1562021FP-2R
+* Contact: [mailto:sem03@soton.ac.uk Stuart Middleton ]
+You will join our team working on deep learning-based Natural Language Processing (NLP) models for behaviour classification as part of the ProTechThem (Building Awareness for Safer and Technology-Savvy Sharenting) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the UKRI Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).
+The ProTechThem project (www.protechthem.org) is exploring how criminology and computer science can enable better targeted awareness-raising activities and to improve the tools we currently have to study, prevent and mitigate the negative impacts of sharenting practices. Sharenting is the sharing of identifying and sensitive information of minors and can introduce significant risks including negative psychological repercussions and pathways to child abuse and identity fraud/theft.
+We are looking for applicants who have experience with deep learning-based NLP models and are interested in adapting this experience to the area of text classification and information extraction. Your role will be to research and develop deep learning-based NLP models for risky behaviour classification applied to short and long online conversations on forums and social media. Sharenting is an interesting domain with emergent vocabulary, so you will have the opportunity to gain experience with NLP methods that can work with limited training resources and human-in-the-loop training regimes.
+== PhD Position “Computer Science: Natural Language Processing & Semantic Web Technologies” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany ==
+* '''Employer:''' TIB – Leibniz Information Centre for Science and Technology and University Library
+* '''Title:''' PhD Candidate
+* '''Specialty:''' NLP, Computational Linguistics, Software Engineering, Computer Science
+* '''Location:''' Hannover, Germany
+* '''Deadline:''' 30 June 2022
+* '''Date posted:''' 31 May 2022
+''Description''
+The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for building and maintaining the ORKG data ingestion and processing pipelines to ensure the flow of high-quality semantified resources from publications. Your main responsibility in this position will be to build scalable solutions that crawl, ingest, process publications, and thereby enrich the ORKG. You will work alongside the ORKG engineering team to set up the AI/NLP ecosphere.
+''Your tasks will focus on''
+* Working in the areas of Natural Language Processing (text mining, information extraction, information retrieval/search) and Machine Learning of scholarly communication media (digital) data.
+* Identifying and implementing the tools and algorithms appropriate for Natural Language Processing assignments to enhance the NLP system currently in place.
+* Conceptually designing, modeling, and implementing data-driven services for information retrieval and extraction, data enrichment, and linking of data.
+* Carrying out evaluation experiments and training the developed model.
+'''Web Address for Applications:''' https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-31-2022
+Contact: Dr. Jennifer D'Souza [mailto:jennifer.dsouza@tib.eu jennifer.dsouza@tib.eu]
+== PhD Position “Computer Science: Computational Linguistics & Corpus Annotation” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany ==
+* '''Employer:''' TIB – Leibniz Information Centre for Science and Technology and University Library
+* '''Title:''' PhD Candidate
+* '''Specialty:''' NLP, Computational linguistics, Corpora annotation
+* '''Location:''' Hannover, Germany
+* '''Deadline:''' 30 June 2022
+* '''Date posted:''' 31 May 2022
+''Description''
+The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for conducting independent and original scientific research involving corpus development and annotation in organizing research contributions in the ORKG in a structured, semantic way, so other researchers can get a quick overview on the state-of-the-art in the field. You will participate in local, national and international collaboration activities. Given the multidisciplinary nature of the programme, we encourage applicants with a strong curiosity and interest in Science to apply.
+''Your tasks will focus on''
+* Collaborating with researchers from different disciplines to gain familiarity with research problems and their contribution descriptions expressed in scholarly literature.
+* Conceptually designing, modelling and implementing ontology-based knowledge representations for crowdsourcing of the Open Research Knowledge Graph.
+* Annotation and curation of multidisciplinary scholarly contribution descriptions.
+'''Web Address for Applications:''' https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-32-2022
+Contact: Dr. Jennifer D'Souza [mailto:jennifer.dsouza@tib.eu jennifer.dsouza@tib.eu]
+== Research Associate in Online Toxicity Mitigation (Heriot-Watt University, Edinburgh UK) ==
+* Employer: Heriot-Watt University
+* Title: Research Associate in Online Toxicity Mitigation
+* Specialty: NLP, Conversational AI, deep learning
+* Location: Edinburgh, UK
+* Deadline: 22 July 2022
+* Date posted: 23 May 2022
+* Contact: Prof. Verena Rieser [mailto:v.t.rieser@hw.ac.uk v.t.rieser@hw.ac.uk]
-LOCATION -  Bott and Co, Wilmslow, Cheshire
-SALARY -  £32,236 to £39,609 per annum plus performance bonus and £5,000 personal development budget
+This is an exciting opportunity to work within multi-disciplinary team to develop novel toxicity mitigation techniques for a project funded by the UK Research Council EPSRC on Detection and Mitigation of online Gender Based Violence. You will be working with teams of researchers working in NLP, Social Science and Education. The project is hosted at the Interaction Lab ([http://www.macs.hw.ac.uk/InteractionLab]), one of the biggest research groups in Conversational AI, and is in collaboration with the University of Edinburgh and third sector charities specialising in online abuse and GBV. The post is available for three years. We are looking for candidates with expertise in neural approaches to natural language generation, or closely related fields, with a proven publication track record in ACL* venues etc.
-DURATION  - 30 months - starting ASAP
+Essential knowledge, skills and experience:
-CLOSING DATE - 07/04/2019
+* Experience (at PhD level) in Natural Language Processing, Machine Learning or closely related fields
+* Evidence of a publication record in the aforementioned areas.
+* Excellent programming skills, and familiarity Deep Learning frameworks.
+* Fluent in English with excellent academic writing skills.
-FURTHER DETAILS AND APPLICATION FORM -  https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16973
+Duration: full-time position, 12-36 months.
+Salary: in the range of £33,300 - £40,900 per year, depending on experience and qualifications.
-== Postdoc position, KU Leuven ==
+Location of appointment: Heriot-Watt University, Edinburgh, UK
-*Employer: Department of Computer Science, KU Leuven
-*Title: Postdoctoral Researcher
-*Speciality: Representation learning in the context of natural language understanding
-*Location: Leuven, Belgium
-*Deadline: February 28, 2019
-*Date posted: February 13, 2019
-*Contact: sien.moens@cs.kuleuven.be
+To apply, please email follow instructions here: [https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/2144/?utm_medium=jobshare]
-We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The position focuses on natural language understanding but gives possibilities to research topics in one or more of the following fields: machine learning (especially semi-supervised learning, transfer learning, incremental learning, deep learning and latent variable models), multimodal processing of language and visual data, learning the grounded meaning of language from various contexts in which language is used (e.g., physical, language and social), representation learning at the word, phrase, sentence or discourse level considering various contexts, learning commonsense knowledge about the world from multimodal data, multimodal grammar induction, and inference models for language understanding. The successful candidate will work on innovative natural language understanding research. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.
+Informal enquiries can be directed to Prof. Verena Rieser [mailto:v.t.rieser@hw.ac.uk v.t.rieser@hw.ac.uk]
-KU Leuven ranks among the top 50 universities in THE World University Rankings 2019. The alumni of the LIIR lab have obtained outstanding positions in academics and industry (see https://liir.cs.kuleuven.be/people.php).
+Deadline for applications: 22/07/2022.
+== Research Fellow in Natural Language Processing (AI Research Center, Japan) ==
-'''Responsibilities'''
+* Employer: AIRC, Japan
+* Title: Research Fellow in Natural Language Processing
+* Specialty: NLP, neural information extraction, deep learning
+* Location: Tokyo, Japan
+* Deadline: 31 May 2022
+* Date posted: 3 May 2022
+* Contact: Prof. Sophia Ananiadou [mailto:sophia.ananiadou@manchester.ac.uk sophia.ananiadou@manchester.ac.uk], Prof. Makoto Miwa [mailto:makoto-miwa@toyota-ti.ac.jp makoto-miwa@toyota-ti.ac.jp]
-*Perform research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
-*Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor and master theses.
-*Help in the supervision of PhD researchers of the CALCULUS team.
-'''Profile'''
+This is an exciting opportunity to work with an international team hosted by the Artificial Intelligence Research Center in Tokyo to develop novel neuro-symbolic information extraction techniques for a project funded by the Japan Medical Research Council on NLP for cancer immune-oncology, under the overall supervision of Prof. Junichi Tsujii (https://www.airc.aist.go.jp/en/intro/). NLP methods will include relation and event extraction, distant supervision and temporal relation extraction. You will be working with teams of NLP researchers at AIRC/AIST in Japan (https://www.airc.aist.go.jp/en/) and at the UK National Centre for Text Mining (http://www.nactem.ac.uk/). The fellowship is available for two years, with the possibility of extension. We are looking for candidates with expertise in deep learning for information extraction, with a proven publication track record in ACL, EMNLP, Coling, etc.
-*You have (or are near completion of) a PhD in Computer Science (or a related field).
+Essential knowledge, skills and experience:
-*You have a motivated interest in fundamental research in language understanding and machine learning.
-*You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
-*You are good at collaborating with and leading others.
-*You have a very good knowledge of English, both spoken and written.
+* A good first degree in Computer Science or related discipline and a PhD in Computer Science with an emphasis on Natural Language Processing and Deep Learning.
+* Experience in developing algorithms for NLP systems using deep learning, language models and transformers.
+* Experience in neural information extraction and event extraction using semi-supervised, distantly-supervised and few-shot approaches.
+* Proven track record of publications in conferences such as ACL, EMNLP, Coling and AAAI.
+* Excellent programming skills, and familiarity with Linux development environments and deep learning libraries (preferably PyTorch)
+* Fluent in English with excellent academic writing skills.
-'''Offer'''
+Duration: full time position, 24 months, with possibility of extension.
-*We offer a 2 x two-year postdoctoral position, starting in the summer of 2019.
+Salary: in the range of 6,5M yen to 8M yen per year, depending on experience and qualifications.
-*We offer a competitive wage and yearly budget to attend conferences and for short research stays.
-'''Interested'''
+Location of appointment: AIRC/AIST Tokyo, Waterfront, Japan.
-Please contact Prof. dr. Marie-Francine Moens, tel.: +32 16 32 53 83, mail: sien.moens@kuleuven.be.
+To apply, please email your CV and the names of 3 referees to Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk) and Prof. Makoto Miwa (makoto-miwa@toyota-ti.ac.jp). Enquiries may also be directed to these addresses.
-Excellent candidates will be invited for an interview (possibly via Skype). The position will be closed when a valuable candidate is found.
+Deadline for applications: 31/05/2022.
+== Permanent research position in NLP at the Norwegian Computing Center, Oslo, Norway ==
-== Postdoc position, Masaryk University ==
+* Employer: [https://www.nr.no Norwegian Computing Center (NR)], Oslo, Norway
-*Employer: Machine Learning and Data Processing Department, Faculty of Informatics, Masaryk University
+* Title: Research Scientist
-*Title: Postdoctoral Researcher
+* Specialty: NLP, Language Technology, Computational Linguistics, Machine Learning
-*Speciality: natural language processing, knowledge representation and reasoning
+* Location: Oslo, Norway
-*Location: Brno, Czech Republic
+* Deadline: Open-ended
-*Deadline: March 1, 2019
+* Date posted: March 31, 2022
-*Date posted: January 15, 2019
+* Contact: [mailto:plison@nr.no plison@nr.no]
-*Contact: Ales Horak: hales@fi.muni.cz, subject "Postdoc 2019"
-*Application link: https://www.muni.cz/en/about-us/careers/vacancies/43809
-The Faculty of Informatics of Masaryk University (FI MU) in Brno, Czech Republic, invites applications for Post-doctoral positions in all areas of Computer Science. Brno, the second largest city in the Czech Republic, see https://www.gotobrno.cz/en/, is an attractive city for students and young researchers. The Faculty has a strong interest in attracting applications from abroad.
-The postdoctoral positions are awarded for one year with an extension to the second year after a review. Gross salary is 50,000 CZK per month which, with an optional 10% bonus, sums to more than 25,500 EUR per year. Additional funds of 4,000 EUR per year will be available for travel and material expenses. Preferred start date of the contract is in June/July 2019, but other options can be negotiated without hassle.
+We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 52 researchers.
-'''Requirements'''
+The researcher will be expected to participate in several research projects. In particular, we are currently leading a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.
-Candidates must have a PhD degree not older than 4 years at the time of application, from a university outside of the Czech and Slovak Republics. In case that the PhD defense is not yet finished, the candidate must also provide an official letter certifying that his/her PhD thesis has already been submitted for defense and outlining the expected schedule of the PhD defense. Candidates with a PhD degree from a Czech or Slovak university may also be considered if they prove at least two years of post-doctoral research experience abroad.
+You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.
-'''Evaluation'''
+Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.
-All candidates are expected to be fluent in English, while prior knowledge of Czech is not required. Candidates will be evaluated on the ground of their strong international research record, and preference will be given to those whose research areas match the research directions of the Faculty of Informatics; see http://www.fi.muni.cz/research/.
+For more information, please visit [https://www.jobbnorge.no/en/available-jobs/job/223522/research-scientist-in-natural-language-processing the application website].
-'''Application'''
+'''We offer''':<br>
+We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.
-Applications must be submitted electronically at the attached www address - the electronic application form (only reference letters, if not given directly to the applicant, may be sent by email). The applicants should provide the following documents with their application:
+The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.
-*An academic CV, a list of publications, and a motivation letter.
-*A scanned copy of the PhD diploma, or a letter certifying submission of doctoral thesis for the defense.
-*One external reference letter, and one support letter (expression of interest) from a member of the academic staff of the Faculty of Informatics of Masaryk University. These letters, if cannot be attached by the applicant him/herself, may be sent to the e-mail address hales@fi.muni.cz.
-All interested applicants are strongly advised to informally contact their expected host research groups at the Faculty of Informatics well ahead of submitting their application.
+'''About us''':<br>
+Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.
-'''Contact'''
-Assoc.Prof. Ales Horak, Head of the Department of Machine Learning and Data Processing
+The institute has 98 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.
-Submission of applications: https://www.muni.cz/en/about-us/careers/vacancies/43809
+== Summer grad student paid intern in NLP, Florida Institute for Human & Machine Cognition, Florida, USA ==
+* Employer: Florida Institute for Human & Machine Cognition
+* Title: Summer grad student intern in NLP and multilingual adaptation
+* Specialty: NLP, Computational Linguistics
+* Location: Pensacola/Ocala Florida (may work remotely)
+* Deadline: March 15, 2022 (for best consideration)
+* Date posted: February 28, 2022
+* Duration: 3 months (approx. May 16 – Aug 15)
+* Contact: Brodie Mather ([mailto:bmather@ihmc.org bmather@ihmc.org])
+* Eligibility: US Citizen
+* Remote options available
-E-mail (for inquiries and reference letters): hales@fi.muni.cz, subject "Postdoc 2019"
+The Florida Institute for Human and Machine Cognition (ihmc.org) invites applications for a paid student research position on a 3-month summer project (approximately mid May through mid August)
+to develop multi-disciplinary technology for novel approaches to multilingual adaptation that
+transcends practices used today for natural language processing (NLP). It is expected that this
+project will lead to advanced study and/or a dissertation topic in areas such as computational
+linguistics and social science. If you are interested in this opportunity, please send a resume and cover letter to Brodie Mather (bmather@ihmc.org). US Citizenship required. Remote options available.
-== Two postdoctoral positions, University of Pittsburgh ==
+* Requirements: We seek students with a background in computer science who also have an interest and (preferably) experience in one of: computational linguistics, natural language processing tools, machine learning, or a related discipline.
-*Employer: The Computational Social Dynamic Lab, University of Pittsburgh
+* General requirements: The successful candidate is a student in a PhD or Masters program in one of the aforementioned areas with a strong interest in doing research, and with excellent writing skills. In addition, the candidate has proven experience with developing computational techniques and models from unstructured data.
-*Title: Postdoctoral Research Associate
-*Speciality: computational social science, NLP, machine learning.
-*Location: Pittsburgh, PA, USA
-*Deadline: January 15, or until position filled
-*Date posted: December 06, 2018
-*Contact: Yu-Ru Lin (email: <yuruliny@gmail.com> | web: http://yurulin.com | lab: https://picsolab.github.io/)
-The Computational Social Dynamic (PICSO) Lab at the University of Pittsburgh is seeking two postdoctoral research associates for a computational social science project under the mentorship of Dr. Yu-Ru Lin and Dr. Rebecca Hwa. This highly interdisciplinary project aims to advance research methodology in revealing biases of different groups or cultures by analyzing social media data with cutting-edge methods of natural language processing and machine learning. The duration of the position is for one year, with the possibility of renewal. The compensation is competitive.
+* What we offer: Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. Our human-centered approach often results in systems that can be regarded as cognitive, physical, or perceptual in nature. Research in such areas requires a broader interdisciplinary range than is typically found in one organization. Thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, linguists, physicians, philosophers, engineers and social scientists of various stripes, as well as some people who resist all attempts to classify them.
-We welcome candidates who hold a PhD from a related background, including computational social science, computer science, computational linguistics, social psychology, sociology, political science, and applied mathematics. Particular priorities for hiring are:  (1) knowledge and experiences in distributed semantic representation, sentiment analysis, and text mining methods, ideally demonstrated by publications in established venues (ACL, EMNLP, NIPS, ICML, KDD, etc.); (2) demonstrated ability to work with social media data; (3) prior experiences with computational social sciences a plus.
+* Applications are sent to Brodie Mather ([mailto:bmather@ihmc.org bmather@ihmc.org]) and must include: (1) A cover letter (maximum two pages); (2) Curriculum Vitae; (3) Names of two references. Applications will be accepted until the position is closed; apply by March 15 for best consideration.
-For full consideration, candidates should submit the following materials electronically '''''as a single PDF file''''' to Dr. Yu-Ru Lin at <yuruliny@gmail.com>:
+==PhD Fellowship in Privacy-Enhancing NLP (University of Oslo, Norway)==
-# A brief statement of interest describing your relevant background
+*Employer: [https://www.mn.uio.no/ifi/english/research/groups/ltg/ Language Technology Group (LTG)], University of Oslo
-# Current CV
+*Title: PhD Research Fellow (3 or 4 years)
-# The names and contact information for two references (letters of recommendation will be solicited from finalists)
+*Specialty: Natural Language Processing, Data Privacy
-# Two publications or other writing samples
+*Location: Oslo, Norway
-Please include "PostDoc Application 2019" in the email subject line.
+*Deadline: February  28, 2022
+*Date posted: February 2, 2022
+*Start date: No later than October 1, 2022
+*Application details: https://www.jobbnorge.no/en/available-jobs/job/219713/phd-research-fellow-in-privacy-enhancing-nlp
+*Contact: Pierre Lison [mailto:plison@nr.no plison@nr.no]
-== Research Scientist Interns at Adobe Research, San Jose, California ==
+Text documents often include personal data in one form or another (for instance clinical notes or court judgments). As stipulated by privacy regulations such as GDPR, personal information cannot typically be shared to third parties without the informed consent of the registered individuals. An alternative is to anonymize the data; that is, to edit the documents such as to mask all (direct or indirect) personal identifiers. However, the task of text anonymization remains an open problem and an active research area in Natural Language Processing. The successful candidate for this PhD fellowship position will contribute to research in the field of Privacy-Enhancing NLP. Areas of special interest are text anonymization and the development of automated adversaries to evaluate the robustness of anonymization methods against re-identification attacks.
-*Employer: Adobe Systems Incorporated
-*Title: Research Scientist Intern
-*Speciality: NLP, machine learning, dialog, and question answering.
-*Location: San Jose, CA, USA
-*Deadline: March 1, 2019
-*Date posted: December 06, 2018
-*Contact: bui@adobe.com
-We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications
+The fellowship position is located at the Department of Informatics, and specifically in the Language Technology Group (LTG). LTG conducts research on a broad range of NLP topics including semantic parsing, sentiment analysis, text anonymization and large-scale language modeling. While the research profile of the group is heavily machine-learning oriented, projects conducted at LTG typically combine data-driven approaches with an interest for linguistic analysis and insight.
-== Assistant Professor Position at The University of Memphis ==
+The PhD fellowship will be part of a collaboration with the research group on Digital Security (SEC), which works on different topics within information security, including cyber threat intelligence, ethical hacking, data privacy and post-quantum cryptography. The SEC research group collaborates with external partners with heightened security requirements. Therefore, applicants to this position must be able to receive Norwegian security clearance.
-* Employer: University of Memphis
+The PhD will be co-supervised by Pierre Lison (LTG) and Nils Gruschka (SEC).
-* Rank or Title: Assistant Professor
-* Specialty: ML/NLP with particular interest in educational technologies
-* Location: Memphis, Tennessee
-* Deadline: 1/7/19 but applications accepted until search completed
-* Date Posted: 11/28/18
-* Contact email: cconnor2@memphis.edu
-* Application link: [https://workforum.memphis.edu/postings/20504]
-The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.
+==PhD scholarship in NLP and Second Language Acquisition (Univ. of Lisbon, Tübingen Univ, Lancaster Univ.)==
+*Employer: Linguistics Center of the University of Lisbon (CLUL)
-Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.
+*Title: PhD (3 years)
+*Specialty: Natural Language Processing and Second Language Acquisition, ICALL
-The Department of Computer Science ([http://www.cs.memphis.edu]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".
+*Location: Lisbon, Portugal
+*Deadline: February  28, 2022
-The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [http://iis.memphis.edu].
+*Date posted: January 31, 2022
+*Start date: April 1,  2022
-Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.
+*Application details: https://euraxess.ec.europa.eu/jobs/733640
+*Contact: Amália Mendes [mailto:amaliamendes@letras.ulisboa.pt amaliamendes@letras.ulisboa.pt], Detmar Meurers [mailto:detmar.meuers@uni-tuebingen.de detmar.meuers@uni-tuebingen.de], Patrick Rebuschat [mailto:p.rebuschat@lancaster.ac.uk p.rebuschat@lancaster.ac.uk]
-Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.
+Applications  are invited  for a  three-year PhD  position in  Natural Language Processing applied to  foreign language learning and teaching
+at the Linguistics Center of the University of Lisbon (CLUL). The deadline  for applications  is February  28, 2022.  For additional information, including  salary and application details,  please visit: https://euraxess.ec.europa.eu/jobs/733640
-To apply, please visit [https://workforum.memphis.edu/postings/20504].  Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).
+The aim  of the  PhD project  is to research,  develop and  evaluate a digital tool supporting the acquisition  of Portuguese as a Foreign or Heritage language. The work can build on the existing ICALL approaches developed  at  the  University  of Tübingen  for  English  and  German (http://icall-research.de).  The  goal  is   to  support  learners  in selecting texts  that support  noticing of  key target  structures and provide practice opportunities.  The computational linguistic analysis can  build on  recent findings  about linguistic  structures that  are acquired  late  by heritage  speakers  of  Portuguese and  include  an empirical validation in  the context of the network  maintained by the Camões Institute across the globe.
-A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.
-== Research Associate in Text Mining, University of Manchester, UK ==
+The  PhD project  will  be co-supervised  by  Professor [http://clul.ulisboa.pt/en/pessoa/amaliamendes Amália  Mendes] (University  of  Lisbon),  Professor  [http://purl.org/dm Detmar Meurers]  (University  of Tübingen), and Professor [https://www.lancaster.ac.uk/linguistics/about/people/patrick-rebuschat Patrick Rebuschat] (Lancaster University). The successful  applicant  will be  integrated  in  the Heritage  Language Consortium  (HL2C),  a  strategic  partnership  between  six  European universities  and the  Camões Institute,  a branch  of the  Portuguese Ministry of Foreign Affairs. Further details  on the HL2C can be found on our website: http://wp.lancs.ac.uk/heritage-language/
-* Employer: University of Manchester
+==Postdoctoral Associate in Natural Language Processing, University of Florida, Dept of Computer & Information Science & Engineering (CISE)==
-* Title: Research Associate in Text Mining
+*Employer: University of Florida, Dept of Computer & Information Science & Engineering (CISE)
-* Specialty: Text Mining
+*Title: Postdoctoral Associate (2 years with possibility of an extension)
-* Location: Manchester, UK
+*Specialty: Natural Language Processing and AI
-* Deadline: January 3, 2019
+*Location: Gainesville, FL
-* Date posted: November 27, 2018
+*Deadline: Jan 5, 2022 (for best consideration) or until filled
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
+*Date posted: Dec 17, 2021
+*Start date: Feb 2022 through late spring or early summer [THIS POSITION HAS BEEN FILLED]
+*Apply here: https://explore.jobs.ufl.edu/cw/en-us/job/519571/postdoc-associate
+*Contact: Dr. Bonnie Dorr [mailto:bonniejdorr@ufl.edu bonniejdorr@ufl.edu]
+The University of Florida invites applications for a postdoctoral associate appointment in natural language processing, beginning late spring or early summer of 2022. Will explore, design, and implement innovative approaches to tackling real-world problems in social computing, semantic analysis, and multilingual applications, with an eye toward explainability in artificial intelligence solutions, coinciding with UF’s recent commitment to a university-wide artificial intelligence initiative (https://ai.ufl.edu/).  UF CISE is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions. More details and application submission instructions are provided at the “'''Apply here'''” link above. '''Review of applications will begin on Jan 5, 2022 and will continue until the position is filled. To ensure full consideration applications should be completed by that date.'''
-We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.
+== 6 Lectureships (Assistand Professors) in School of Computing, University of Leeds, United Kingdom ==
+* Employer: University of Leeds
+* Title: Lecturer (aka Assistant Professor
+* Specialty: NLP, Computational Linguistics
+* Location: Leeds, Yorkshire, United Kingdom
+* Deadline: 10th Jan 2022
+* Date posted: 9th Dec 2021
+* Duration: permanent
+* Details and application forms at: https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1079 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1080 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1081 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1082 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1083 https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1084
+* Contact: [mailto:a.j.bulpitt@Leeds.ac.uk Andy Bulpitt ]
-Post Objectives:
+==Faculty position (open rank) in Computational Linguistics/Natural Language Processing at Yale University==
+* Employer: Department of Linguistics at Yale University
+* Assistant, Associate or Full Professor
+* Specialty: Computational Linguistics
+* Location: New Haven, CT
+* Deadline: November 30, 2021 (review of application begins)
+* Date posted: November 8, 2021
+* Apply here: https://apply.interfolio.com/96373
+* Contact: [mailto:bob.frank@yale.edu Bob Frank ]
-. To develop a search system based on clustering methods.
+Yale University seeks to make an open rank faculty appointment in the area of Computational Linguistics/Natural Language Processing (NLP), to begin in Fall 2022. The selected scholar will have a primary appointment in the Department of Linguistics, with a secondary appointment in either the Department of Statistics & Data Science or the Department of Computer Science. They will teach both introductory and advanced courses in Computational Linguistics/NLP at the undergraduate and graduate levels, and advise student research. This position is part of the university’s commitment to expansion in the area of integrative data science.
-. To contribute to development of entity linking for the application.
+The selected candidate will have a highly productive and visible research program that engages with both the linguistics and NLP/machine learning communities. Applicants at the senior level should have demonstrated excellence in teaching and advising. A PhD or equivalent degree in a relevant discipline is required at the time of hire.
-. To develop a classification system for risk assessment.
+Yale University is an Affirmative Action/Equal Opportunity Employer, and we especially encourage applications from women, persons with disabilities, protected veterans, and members of underrepresented minority groups.
-You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.
+==Assistant Professor of Teaching, Computational Linguistics (tenure-track) at UBC==
+* Employer: Department of Linguistics at the University of British Columbia
+* Assistant Professor of Teaching
+* Specialty: Computational Linguistics
+* Location: Vancouver, British Columbia
+* Deadline: December 10, 2021
+* Date posted: November 8, 2021
+* Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-teach-cl/
-* Salary : £32,236 - £39,609 per annum according to experienc
+The Department of Linguistics at the University of British Columbia, Vancouver, invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor of Teaching. The successful candidate will be joining the team of faculty and staff who run UBC’s Master of Data Science – Computational Linguistics program. For details on this program, see https://masterdatascience.ubc.ca/programs/computational-linguistics/.
-* Hours Per week: Full Time
-* Contract Duration : 01 February 2019 until 31 January 2020
-Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445
+The rank of Assistant Professor of Teaching is a classification within what UBC terms the “Educational Leadership” stream. The primary responsibilities of this position involve teaching and educational leadership, rather than research. Specific information on the Educational Leadership stream at UBC can be found at the following link: http://ctlt.ubc.ca/programs/all-our-programs/teaching-and-educational-leadership/.
-== Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK ==
+The successful candidate will be expected to maintain an active program of excellent (1) teaching, which will include a variety of courses, mostly at the graduate level within the Master of Data Science – Computational Linguistics program, but potentially also outside the program at the undergraduate level (2) educational leadership, especially in the area of curriculum or program development, and (3) service (typical service includes participating in departmental meetings, serving on select departmental/faculty/university committees, and advising graduate students)
-* Employer: University of Manchester
-* Title: Research Fellow in Natural Language Processing and Text Mining
-* Specialty: Text Mining
-* Location: Manchester, UK
-* Deadline: January 3, 2019
-* Date posted: November 23, 2018
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
-We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.
+==Assistant Professor, Computational Linguistics (tenure-track) at UBC==
+* Employer: Department of Linguistics at the University of British Columbia
+* Assistant Professor
+* Specialty: Computational Linguistics
+* Location: Vancouver, British Columbia
+* Deadline: December 10, 2021
+* Date posted: November 8, 2021
+* Additional information: https://linguistics.ubc.ca/job-opportunities/asst-prof-cl/
-The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.
+The Department of Linguistics at the University of British Columbia invites applications for a tenure-track position in Computational Linguistics to begin July 1, 2022, with appointment at the rank of Assistant Professor.
-You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.
+Candidates must have a Ph.D. in Linguistics, Computer Science or a closely related field and have demonstrable expertise in speech technology, in the context of speech and language processing or computational linguistics. We especially encourage applicants who embrace a multifaceted approach to speech processing, for example combining methods and insights from speech technology with more traditional linguistic inquiry. The candidate will have a record of or potential for high-quality research and teaching at the graduate and undergraduate levels in speech technology (incorporating machine learning), plus at least one of the following areas: NLP; computational phonology, phonetics or morphology; computational approaches to low-resource languages.
-As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.
+The Department of Linguistics at UBC has recently established a new professional Master of Data Science program dedicated to Computational Linguistics. The successful candidate will teach and supervise graduate students in the MDS-CL and Linguistics programs, as well as in the undergraduate Linguistics and Speech Sciences programs.  Experience in the tech industry is an asset but not a requirement. This position also offers the opportunity for membership in multiple interdisciplinary groups — including the Artificial Intelligence Methods for Scientific Impact (AIM-SI) research cluster (part of the Centre for AI Decision-making and Action), as well as UBC’s Language Sciences Institute.
-* Salary : £40,792 to £50,132 per annum dependent upon experience
+== Research Scientist, Natural Language Processing at Educational Testing Service, Princeton, NJ==
-* Hours Per week: Full Time
+* Employer: Educational Testing Service
-* Contract Duration : Starting Immediately until 31 December 2023
+* Title: Research Scientist, Natural Languge Processing
+* Specialty: Computational Linguistics
+* Location: Princeton, NJ
+* Deadline: Until filled
+* Date posted: Oct 6, 2021
+* Apply here: https://bit.ly/2ZP1VjD
-Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448
+Educational Testing Service (ETS), headquartered in Princeton, NJ, is seeking a Natural Language Processing, speech, or spoken dialog systems Research Scientist in the Learning and Assessment Foundations and Innovations (LAFI) Center.
-== Associate Research Scientist, UKP Lab, TU Darmstadt ==
+You will join a team that is exploring ways to assess and improve speech and literacy skills and conduct research that will inform personalized learning solutions. Working on foundational research designed to make scientific advances in the field and on applied research that informs the development of practical classroom solutions, you will:
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
+*Research, develop and evaluate novel speech and text processing algorithms for educational applications.
-* Title: Associate Research Scientist
+*Conceptualize, propose, obtain funding for, and direct projects which may include foundational and applied research projects and development of tools and research prototypes that make use of speech and NLP technologies.
-* Specialty: Interactive Text Analysis and Natural Language Processing Tools
+*Document and disseminate results of research and/or development projects through publications and presentations.
-* Location: Darmstadt
-* Deadline: December 15, 2018 (or until filled)
-* Date posted: November 22, 2018
-* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/
-The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+Requirements:
+*Ph.D. in Engineering, Computer Science, Natural Language Processing, Computational Linguistics, or similar area, with a focus on speech or spoken dialog systems preferred.
+*Published state-of-the-art NLP methods and have strong software engineering skills.
+*Research and/or development experience in speech or language processing.
+*Expertise with NLP systems and fluency in one major programming language (e.g., Python or Java)
-'''Associate Research Scientist'''<br>
+Why ETS?
-'''(PhD-level; for an initial term of two years)'''
-to strengthen the group’s profile in the areas of ''Interactive Text Analysis'' and ''Natural Language Processing Tools''. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.
+ETS believes in the life-changing power of learning. For more than 70 years, the vision of what’s possible when all people can improve their lives through education has driven our commitment to quality, equity and fairness. Founded as a nonprofit in 1947, ETS develops, administers and scores tens of millions of tests annually — including the TOEFL® and TOEIC® tests, the GRE® tests and The Praxis Series® assessments. But we are so much more than the tests we deliver. With our mission to advance quality and equity in education in mind, we also deliver groundbreaking research and learning solutions to help a broad spectrum of stakeholders understand what’s possible and identify the steps to get there. ETS’s staff members are passionate about using their wide-ranging expertise to improve teaching and learning.
-We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.
+EDUCATIONAL TESTING SERVICE requires all new hires to either certify that they have been fully vaccinated or request and obtain an exemption due to medical or religious reasons by their start date.
-The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.
+EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of Women and Minorities.
-Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.
+EDUCATIONAL TESTING SERVICE is an Equal Opportunity and Affirmative Action Employer of protected Veterans and Individuals with Disabilities.
-UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.
+EDUCATIONAL TESTING SERVICE is a Drug-free workplace.
-Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
-Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
+== Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics==
+* Employer: University of Florida, Department of Linguistics
+* Title: Assistant Professor
+* Specialty: Computational Language Science AI
+* Location: Gainesville, FL
+* Deadline: Nov 22, 2021 (for best consideration) or until filled
+* Date posted: Sep 29, 2021
+* Start date: Aug 16, 2022
+* Apply here: https://apply.interfolio.com/95755
+* Contact: Dr. Stephanie Wulff [mailto:swulff@ufl.edu swulff@ufl.edu]
-== Associate Research Scientist, UKP Lab, TU Darmstadt ==
+The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, beginning August 16, 2022. This is a full-time, nine-month, tenure-accruing position. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include, but are not limited to, computational linguistics, sociolinguistics, neuro/psycholinguistics, corpus linguistics, computational semantics, phonetics, and/or phonology.
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
+UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity.
-* Title: Associate Research Scientist
-* Specialty: Natural language processing
-* Location: Darmstadt
-* Deadline: December 15, 2018 (or until filled)
-* Date posted: November 22, 2018
-* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/
-The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. in linguistics, computer science, or a closely-related field by August 15, 2022. '''Review of applications will begin on Nov 22, 2021''' and will continue until the position is filled. UF Linguistics is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions.
-'''Associate Research Scientist'''<br>
-'''(PhD- or (Senior-)PostDoc level; for an initial term of two years)'''
-The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.
+== Postdoc Position in Computational Social Science at ETH Zurich ==
+* Employer: [https://lawecondata.ethz.ch/ The Law, Economics, and Data Science Group] at ETH Zurich
+* Title:  Postdoc
+* Specialty: Computational social science
+* Location: Zurich, Switzerland
+* Deadline: December 1, 2021
+* Date posted: September 30, 2021
+* Contact for more info: [mailto:ashe@ethz.ch Elliott Ash]
-We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.
+More info and application link [https://www.jobs.ethz.ch/job/view/JOPG_ethz_uMFPVamrxcNbqaUscW here].
-UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.
-Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
+== PhD/Postdoc Position in Computational Linguistics at Tübingen University ==
+* Employer: [https://uni-tuebingen.de/en/133894 The Division of General and Computational Linguistics] in [https://uni-tuebingen.de/en/26 the Department of Linguistics] at [https://uni-tuebingen.de/en/ the University of Tübingen]
+* Title:  PhD/Postdoc
+* Specialty: any subarea of computational linguistics
+* Location: Tübingen, Germany
+* Deadline: November 1, 2021
+* Date posted: September 20, 2021
+* Contact for more info: [mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de]
-Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.
+The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a '''Computational Linguist''' with a specialization in any subarea of computational linguistics.
-== Assistant Professor, Department of Linguistics and Translation, University of Montreal ==
+Duties for this post include teaching one course in computational linguistics per semester (with English as the language of instruction), independent research, and participation in externally-funded, on-going research projects. Further information about the department can be found at [https://uni-tuebingen.de/en/133894 https://uni-tuebingen.de/en/133894].
-* Employer: Department of Linguistics and Translation, University of Montreal
+The starting date for the position is January 1, 2022.  The period of appointment is for three years.
-* Title: Assistant Professor (tenure-track)
-* Specialty: Computational linguistics
-* Location: Montreal, Canada
-* Deadline: December 13, 2018
-* Date posted: November 10, 2018
-* Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca
-The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.
+The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required). Salary will be according to the German Salary System TV-L 13, 100%.
-Responsibilities
+Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references.  Applications should be sent by November 1, 2021 to [mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de].
-The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.
+The University of Tübingen wishes to increase the proportion of women in research and teaching. Individuals with disabilities are strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.
-Requirements
+== 15 Fully-Funded PhDs at University of Essex for 2022 Start ==
+* Employer: [https://www.essex.ac.uk/departments/computer-science-and-electronic-engineering School of CSEE, University of Essex]
+* Title: PhD
+* Specialty: Deep Learning for NLP, Information Extraction, Coreference Resolution, Conversational AI, Low resource learning
+* Location: Colchester, UK
+* Deadline: 28th September 2021
+* Contact: [mailto:j.yu@essex.ac.uk Juntao Yu]
-* Ph.D. in linguistics, computer science, or a related field.
+Interested in doing a PhD in the Natural language processing?
-* Education in both linguistics and computer science, with a strong background in core linguistics.
-* Demonstrated interest in using computational techniques in the study of language.
-* Ability to teach in at least one of the core domains of linguistics.
-* Excellent publication track record in computational linguistics.
-* University teaching experience.
-* Sufficient knowledge of written and spoken French.
-Deadline: until December 13, 2018 inclusively
-Treatment: Université de Montréal offers competitive salaries and a full range of benefits.
+The School of Computer Science and Electronic Engineering (CSEE), University of Essex, is delighted to announce 15 fully funded PhD Studentships covering Home fees of (£5,360 for 2021-22) plus stipend. Stipends will match standard EPSRC rates (£15,609 for 2021-22).  Studentships are for a period of 3 years and start from 25 April 2022.
-Starting date: On or after August 1st, 2019
+EU and International candidates are welcome (Please contact me for more details about options to cover the additional international fees). If you want to do a PhD with me in natural language processing, please to get in touch with me. The application closes on the 28th of September.
-Application
+Here are some example PhD topics:
-The application must include the following documents:
+* Coreference Aware Conversational agents
-* a cover letter
+* Out-of- KB Entities Representation for Entity Linking
-* a curriculum vitæ
+* Training Data Generating with Contextual Language Models
-* copies of recent publications and research
-Three letters of recommendation are also to be sent directly to the department chair by the referees.
+By doing PhD with me you will also get opportunities to collaborate with researchers from our collaborators (e.g. Google, IBM and Prof. Massimo Poesio’s research group at Queen Mary University of London)
-Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:
+All applications needs to be submitted though the [https://www.essex.ac.uk/postgraduate/research/opportunities/computer-science-and-electronic-engineering-studentships link]
-Mireille Tremblay, directrice <br>
-Département de linguistique et de traduction<br>
-Faculté des arts et des sciences<br>
-Université de Montréal<br>
-C.P. 6128, succursale Centre-ville<br>
-Montréal (QC) H3C 3J7<br>
-Canada
-Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca
+== Two machine learning faculty positions at AUEB, Dept. of Informatics, Athens, Greece ==
-For more information about the Department, please consult its website at http://ling-trad.umontreal.ca
+Two faculty positions at the Athens University of Economics and Business (AUEB), Dept. of Informatics, Athens, Greece:
-Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.
+# '''Associate Professor''', ''Machine Learning''. Seeking candidates working mainly on the theoretical analysis and design of ML algorithms (to a lesser extent ML applications), esp. algorithms for deep learning, with publications in top-tier ML venues (e.g., JMLR, NeurIPS, ICML). https://service-apella.grnet.gr/apella/ui/positions/22554
+# '''Assistant Professor''', ''Machine Learning in Information Retrieval and Data Mining for Large Document Collections''. Seeking candidates working in the intersection of ML (esp. deep learning) with at least one (ideally several) of: IR, NLP, data mining, document intelligence (incl. semi-structured and multimedia docs), with publications in top-tier respective venues (e.g., NeurIPS, ICML, SIGIR, *ACL/EMNLP, KDD). https://service-apella.grnet.gr/apella/ui/positions/22550
-The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.
+For both positions: '''Deadline Sept. 13, 2021'''. '''Fluency in Greek (C1 level) required'''. Opportunities to cooperate with AUEB colleagues/groups working in related areas (e.g., ML, IR, NLP, data mining, big data, data science, distributed processing, computer graphics, computer vision) and/or to start your own group, to participate in research projects and proposals, teach undergraduate and graduate related courses (e.g., in our MSc programs in CS, Data Science, Information Systems), collaborate with a vibrant ecosystem of ML-related startups in Athens, while enjoying life in Greece.
-Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.
+For informal queries contact Prof. Ion Androutsopoulos (http://www.aueb.gr/users/ion/, [mailto:ion@aueb.gr ion@aueb.gr]). Date posted: July 10, 2021.
-Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.
+== Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK ==
+*Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
+*Title: Postdoctoral Researcher
+*Speciality: NLP, neural information extracttion
+*Location: DTU, Copenhagen
+*Deadline: 15th August 2021
+*Date posted: 6th July 2021
+*Contact: Evelyn Travnik [mailto:etravnik@biosustain.dtu.dk] and Prof. Sophia Ananiadou [mailto:Sophia.ananiadou@manchester.ac.uk]
-We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.
+We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development and natural language processing to carry out research and development into a new state-of-the-art informatics platform.
+Work carried out will directly support approximately 300 world class scientists in Copenhagen and San Diego in their quest for development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc.
+Tasks will include:
+* Developing new algorithms for relation extraction and summarisation (extractive, abstractive), using (semi)-supervised and unsupervised techniques, transfer learning and distant supervision from the scientific literature
+* Evaluating and improving the performance of NLP models and validate the accuracy of extracted knowledge
+* Working closely with a software engineering team to translate best-performing techniques into production
+* Supporting and leading graduate and undergraduate students, as well as summer interns in NLP
+Although the position is located at DTU Biosustain, the NLP research will be mentored by Associate Scientific Director, Prof. Sophia Ananiadou. Sophia is also the Director of the National Centre for Text Mining (NaCTeM), Department of Computer Science at The University of Manchester, UK. The successful candidates will benefit from the vibrant research environments of both DTU Biosustain and NaCTeM.
-== Software Engineer for Text Mining Applications at the University of Manchester ==
+* Contract Duration: Fixed term until 31st December 2023
-* Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
+For further information and to apply, please visit: https://www.biosustain.dtu.dk/about/job/job?id=d0edfb0f-376b-4e2a-a1da-d8fb7ed37a9b
-* Title: Software Engineer
-* Specialty: Text Mining
-* Location: Manchester, UK
-* Deadline: November 25, 2018
-* Date posted: October 25, 2018
-* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>
-Applications are invited for a Software Engineer post (full time) for a period of 5 years
-The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.
+== Staff AI Research Scientist at Element AI, a ServiceNow Company ==
+* '''Employer:''' ServiceNow
+* '''Title:''' Staff AI Research Scientist (IC4)
+* '''Specialty:''' Natural Language Processing, Low-Data Learning, Large Language Models
+* '''Location:''' Montreal or Toronto, Canada (possibility of remote work)
+* '''Deadline:''' When the job posting is no longer live
+* '''Date posted:''' June 29th, 2021
+* '''Contact for more info:''' [mailto:David.Vazquez@servicenow.com David.Vazquez@servicenow.com]
+* [https://jobs.smartrecruiters.com/ServiceNow/743999751705710-staff-ai-research-scientist-atg Job posting and how to apply]
-Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.
+Do you want to further your research efforts in a dynamic team with a proven track record of publications? Element AI, a ServiceNow company is the AI research arm of ServiceNow, a major (and still growing!) player in the enterprise software business. We are a trusted partner for developing innovations of all kinds that help people organize better. We make the world of work, work better for people.
-* Salary : £40,792 to £50,132 per annum dependent upon experience
+We are currently looking to hire somebody doing research in natural language processing to collaborate within the Low-Data Learning team. Come work with us if you are ready to lead your own research initiatives surrounded by like-minded people in a group that truly understands and want to tackle the challenges of publishing in the field of AI.
-* Hours Per week: Full Time
-* Contract Duration : Starting 1 January 2019 for 5 years
-Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308
+Follow the link of the job posting for more details.
+== Research Associate position in NLP, National Centre for Text Mining, University of Manchester, UK ==
+* Employer: National Centre for Text Mining, University of Manchester, UK
+* Title: Research Fellow
+* Specialty: Natural Language Processing, Text Mining
+* Location: Manchester, UK
+* Deadline: July 6, 2021
+* Date posted: June 23, 2021
+* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]
-== Assistant Professor, Department of Linguistics, University of Florida ==
+The University of Manchester invites applications for one Research Associate in Natural Language Processing/Text Mining to undertake research in the area of natural language processing with emphasis on fact checking and verification for health applications. The post is available immediately and will be tenable on a fixed term basis until 31st July 2022. The candidate will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk), School of Computer Science, located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).
-* Employer: Department of Linguistics, University of Florida
+You will join the National Centre for Text Mining, a leading centre in text mining. You should have a PhD or about to complete a PhD or equivalent experience in Computer Science with an emphasis on Natural Language Processing, good knowledge of graph-based NLP, excellent programming skills to allow implementation of new NLP algorithms and a track record of publications in conferences and journals.
-* Title: Tenure-track Assistant Professor
-* Specialty: computational language science
-* Location: Gainesville, FL 32601
-* Deadline: November 18, 2018
-* Date posted: October 18, 2018
-* Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557
-The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.
+The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.
-The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.
+Blended working arrangements may be considered.
-The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities
+*Salary: £32,816 to £34,804 per annum according to relevant experience
+*Employment type: Fixed Term
+*Hours per week: Full time
+*Contract Duration: starting as soon as possible until 31 July 2022
-Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.
+For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20395.
-The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.
+== Postdoctoral Researcher in NLP, University of Southampton, United Kingdom ==
+* Employer: University of Southampton
+* Title: Research Fellow in Natural Language Processing
+* Specialty: NLP
+* Location: Southampton, United Kingdom
+* Deadline: 21st July 2021
+* Date posted: 18th June 2021
+* Duration: 24 months
+* Contact: Stuart Middleton sem03@soton.ac.uk
-For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.
+'''Role'''
-All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.
+You will join our team working on deep learning-based Natural Language Processing (NLP) models for data rescue as part of the GloSAT (Global Surface Air Temperature) research project. The post will be in the Agents, Interaction and Complexity (AIC) group, which is part of the department of Electronics and Computer Science (ECS) at the University of Southampton. The AIC group leads a number of nationally important research centres including the Trustworthy Autonomous System Research Hub (tas.ac.uk) and the UKRI MINDS Centre for Doctoral Training (mindscdt.ai).
-The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
+The GloSAT project (www.glosat.org) is addressing uncertainties of climate change models using a combination of data rescue from historical documents to improve climate measurement data records, and improved climate change models making use of these improved records. An important aspect of data rescue is information extraction from typed and handwritten historical ship and land measurement station logbooks.
-The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.
+Your role will be to develop deep learning-based NLP models which can operate alongside a major citizen science site (rainfallrescue.org). You will explore novel NLP models for information extraction of tabular measurement data and semantic labels from a large text corpus originating from a GloSAT pipeline of table structure and optical character recognition tools. The GloSAT project has access to 100,000's of manually annotated data tables from the rainfall rescue citizen science site. You will explore how NLP models can be pre-trained using this corpus and then iteratively fine-tuned using human-in-the-loop active learning and/or adversarial training using dynamic citizen science annotations.
-== Postdoctoral Researcher, Cognitive AI Lab, University of Arizona ==
+You will work in the context of a research partnership between the University of Southampton and UK research institutions including the National Oceanography Centre (NOC) and UK Met Office. To be successful you will have a PhD* or equivalent professional qualifications and experience in natural language processing, artificial intelligence or a closely related subject and have experience of information extraction. In addition to research, an important part of the role is to interact with project partners, and to become familiar with the environmental science domain.
-* Employer: School of Information, University of Arizona
+'''Further Details and Application'''
-* Title: Postdoctoral Research Associate
-* Specialty: natural language processing
-* Location: Tucson, AZ, USA
-* Deadline: Open until filled
-* Date posted: October 15, 2018
-* Contact: Peter Jansen <pajansen@email.arizona.edu>
-Postdoctoral Research Associate I <br />
+Details and application forms at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1395221FP
-https://uacareers.com/postings/31213
-Position Summary <br />
+== Postdoc in Neural NLG at Ohio State ==
-The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.
+* Employer: The Ohio State University
+* Title: Postdoctoral Scholar
+* Specialty: Computational Linguistics, Natural Language Generation, Discourse and Dialogue
+* Location: Columbus, Ohio, USA
+* Date posted: 29th May, 2021
+* Contact: Michael White (https://u.osu.edu/mwhite)
-Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.
+Please see this post (https://u.osu.edu/white.1240/2021/05/29/looking-for-another-postdoc-to-work-on-coherence-and-correctness-in-neural-nlg/) for details. Applications received by June 15 will receive full consideration.
-A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ
-Minimum Qualifications
+== Postdoctoral Associate, Reading, Eye tracking, and Computational Modeling, University at Albany, State University of New York, USA ==
-* A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
+* Employer: University at Albany, SUNY, USA
-* Demonstrated interest in natural language processing or machine learning techniques.
+* Title: Postdoctoral Associate
-* Excellent verbal and written communication skills
+* Specialty: Cognitive Science, Cognitive Psychology, Computational Linguistics, Cognitive Neuroscience, or related field
+* Location: Albany, New York
+* Date posted: 24th May, 2021
+* Contact: [mailto:hsheridan@albany.edu Heather Sheridan]
-Duties and Responsibilities
+The Visual Cognition Lab (https://visualcognitionlab.com/) is hiring a postdoc (2-3 years) with strong quantitative skills to work with Dr. Heather Sheridan at the University at Albany, SUNY, on an NIMH-funded project in collaboration with Columbia University (1R01 MH121449-01A1: Neural Mechanisms of Reading Dysfunction in Schizophrenia). The successful candidate will use computational modeling to study the cognitive and neural mechanisms underlying reading fluency impairments in Schizophrenia, as well as the link between literacy skills and functional outcomes. The candidate will also have the opportunity to combine their modeling work with empirical projects that integrate eye tracking methodology with both neurophysiological (EEG/ERPs) and fMRI-based studies of individual differences during reading.  The start date of the position is flexible and could be anytime during the summer or fall of 2021. The position is open until filled (for full consideration, apply by June 1, 2021).
-* Engage in innovative natural language processing research
-* Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
-* Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
-* Support writing grant proposals for external funding opportunities
-* Serve as a collaborative member of a team of interdisciplinary researchers
-Preferred Qualifications
+'''Qualifications'''<br>
-* Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
+* A PhD degree received within the past three years
-* Strong scholarly writing skills and publication record
+* Strong quantitative skills, curiosity, creativity, and a desire to learn
+* Prior experience with computer programming (in any language)
+* Applicants must address in their application their ability to work with a culturally diverse population
-Full Posting/To Apply <br />
+'''Duration of the position'''<br>
-https://uacareers.com/postings/31213
+Funding is available for 2 to 3 years
-== Temporary lecturer, Department of Linguistics, University of California, Santa Barbara ==
+'''Start date:''' Summer or Fall of 2021
-* Employer: Department of Linguistics, University of California, Santa Barbara
+'''How to Apply:''' Interested candidates should [https://rfhr.interviewexchange.com/jobofferdetails.jsp?JOBID=129117 apply online] by uploading their cover letter, CV and the contact information for 3 references.
-* Title: Lecturer
-* Specialty: computational linguistics and/or natural language processing and general linguistics
-* Location: Santa Barbara, CA 93106
-* Deadline: October 24, 2018
-* Date posted: September 27, 2018
-* Contact: https://recruit.ap.ucsb.edu/apply/JPF01317
-The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/
-The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.
+== Postdoctoral Scholar, Language Learning in Children, Carnegie Mellon University, USA ==
+* Employer: Carnegie Mellon University, USA
+* Title: Postdoctoral Scholar
+* Specialty: Cognitive Science, Computational Linguistics or related field
+* Location: Pittsburgh, PA
+* Date posted: 18th May, 2021
+* Contact: [mailto:lwehbe@cmu.edu Leila Wehbe]
-Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.
+Dr. Anna Fisher (CMU, Psychology Department) and Dr. Leila Wehbe (CMU, Machine Learning Department & Neuroscience Institute) are seeking a post-doctoral scholar to work on a joint project examining how features of linguistic input contribute to the acquisition of semantic knowledge in children. The selected candidate will work in a vibrant and collaborative environment with many opportunities for growth and learning, and will have access to excellent resources at CMU.
-To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.
+'''Skills & Qualifications'''<br>
+* PhD in cognitive science, computational linguistics, or related field is required.
+* Experience analyzing linguistic corpora and using computational modeling approaches (e.g., neural networks, distributional modeling in vector spaces, probabilistic approaches) and implementation tools (e.g., PyTorch, Tensorflow) to investigate phenomena in language and cognition are required.
+* Experience and/or coursework in neuroscience, developmental psychology, data science and/or related fields is highly desirable.
+* Experience conducting experimental research with human participants (especially children) is desirable.
+* Record of publishing in the field of NLP/Computational linguistics and/or Cognitive Science is a plus, as is previous experience with grant applications.
-The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
+'''Duration of the position'''<br>
+Guaranteed funding is available for one year, with possibility of continuing the position pending satisfactory performance and availability of funding.
-== Assistant Professor, Department of Linguistics, University of California, Santa Barbara ==
+'''Starting date:''' Summer 2021
-* Employer: Department of Linguistics, University of California, Santa Barbara
+'''How to Apply:'''Interested individuals should [https://cmu.wd5.myworkdayjobs.com/CMU/job/Pittsburgh-PA/Postdoctoral-Researcher--Fisher-Lab---Dietrich-College_2016291 apply online] (position # 2016291) by submitting their CV and names of 2 people who can provide references.
-* Title: Assistant Professor
-* Specialty: computational linguistics and/or natural language processing
-* Location: Santa Barbara, CA 93106
-* Deadline: November 9, 2018
-* Date posted: September 27, 2018
-* Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu
-The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.
+'''Carnegie Mellon University is an Equal Opportunity Employer and we strongly encourage applications from members of underrepresented groups.'''
-The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.
+== Postdoctoral Researcher in Cardiff, UK ==
-The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.
+* Employer: Cardiff University, UK
+* Title: Postdoctoral Research Associate
+* Specialty: NLP
+* Location: Cardiff, UK
+* Deadline: 31st May, 2021
+* Date posted: 14th May, 2021
+* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
-The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.
+An exciting opportunity has arisen to join the School of Computer Science and Informatics as a Research Associate working on a new project titled ‘Encyclopedic Lexical Representations for Natural Language Processing’. This project is funded by EPSRC and is due to start on 1 August 2021.<br>
+The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Natural Language Processing. Specifically, the aim of this post will be to learn vector space embeddings that capture fine-grained knowledge about concepts. Different from existing approaches, these representations will explicitly represent the properties of, and relationships between concepts. Vectors in the proposed framework will thus intuitively play the role of facts, about which we can reason in a principled way. You will work closely with Steven Schockaert and Luis Espinosa Anke. You will possess or be near the completion of a PhD in Computer Science or a related area or have relevant industrial experience.
-Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.
+This is a full-time position for a period of three years. To apply, go to the [http://www.cardiff.ac.uk/jobs Cardiff University jobs pages] and search for vacancy 11424BR.
-Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.
+'''Description of the project:'''<br>
+The field of Natural Language Processing (NLP) has made unprecedented progress over the last decade, but the extent to which NLP systems “understand” language is still remarkably limited. A key underlying problem is the need for a vast amount of world knowledge. In this project, we focus on conceptual knowledge, and more in particular on:
+(i) capturing what properties are associated with a given concept (e.g. lions are dangerous, boats can float);
+(ii) characterising how different concepts are related (e.g. brooms are used for cleaning, bees produce honey).
+Our proposed approach relies on the fact that Wikipedia contains a wealth of such knowledge. Unfortunately, however, important properties and relationships are often not explicitly mentioned in text, especially if they follow straightforwardly from other information for a human reader (e.g. if X is an animal that can fly then X probably has wings). Apart from learning to extract knowledge expressed in text, we thus also have to learn how to reason about conceptual knowledge.
+A central question is how conceptual knowledge should be represented and incorporated in language model architectures. Current NLP systems heavily rely on vector representations in which each concept is represented by a single vector. This approach has important theoretical limitations in terms of what knowledge can be captured, and it only allows for shallow forms of reasoning. In contrast, in symbolic AI, conceptual knowledge is typically represented using facts and rules. This enables powerful forms of reasoning, but symbolic representations are harder to learn and to use in neural networks.
+The solution we propose relies on a novel hybrid representation framework, which combines the main advantages of vector representations with those of symbolic methods. In particular, we will explicitly represent properties and relationships, as in symbolic frameworks, but these properties and relations will be encoded as vectors. Each concept will thus be associated with several property vectors, while pairs of related concepts will be associated with one or more relation vectors. Our vectors will thus intuitively play the same role that facts play in symbolic frameworks, with associated neural network models then playing the role of rules.
-The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
+== Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium  ==
-== Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin ==
+* Employer: [http://www.etrovub.be Electronics and Informatics (ETRO)],  at Vrije Universiteit Brussel (VUB) - [https://www.imec-int.com/en/home imec], Belgium
+* Title: Postdoctoral Researcher in NLP for healthcare
+* Specialty: NLP, Machine Learning
+* Location: Brussels
+* Deadline: May 09, 2021
+* Date posted: April 16, 2021
+* Contact: [mailto:ndeligia@etrovub.be ndeligia@etrovub.be]
-* Employer: Quantitative Criticism Lab, University of Texas at Austin
+The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.
-* Title: Postdoctoral Fellow
-* Specialty: Digital humanities and natural language processing
-* Location: Austin, TX or remote
-* Deadline: October 15, 2018
-* Date posted: September 7, 2018
-* Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow
-The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).
+'''Description of the project:'''<br>
+The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.
-The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.
+'''Responsibilities:'''<br>
+•	Design and implement innovative algorithms within the aforementioned project, <br>
+•	Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and<br>
+•	Supervise junior researchers and support in teaching.
-The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.
+'''Profile and requirements:'''<br>
+•	A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;<br>
+•	An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);<br>
+•	Proven programming experience (e.g., Python, C++);<br>
+•	Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);<br>
+•	Fluency in English and excellent scientific writing and presentation skills;<br>
+•	Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.
-A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.
+'''What we offer:'''<br>
+•	A two-year position which upon positive evaluation can be further extended;<br>
+•	A competitive salary (including holiday allowance) and benefits,<br>
+•	An international scientific environment driven by excellence in fundamental research,<br>
+•	Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)
-For full consideration, applicants should submit the following materials by October 15, 2018:
+'''How to apply:'''<br>
+Interested candidates should send:
+•	a detailed curriculum vitae, <br>
+•	a motivation letter related to the position’s profile,<br>
+•	electronic copies of three key scientific publications, and<br>
+•	the names of two potential referees
-# CV;
+to the following contact person: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikos Deligiannis] via email at [mailto:ndeligia@etrovub.be ndeligia@etrovub.be] by May 09, 2021.
-# Cover letter;
-# Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
-# Writing sample of no more than 40 pages (e.g., article or dissertation chapter).
-In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.
+'''About the team:'''<br>
+The position is within machine learning team at the Department of Electronics and Informatics  at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.
-The salary will be $48,000 per year, plus benefits.
-The successful candidate must be able to begin work in this position by January 2, 2019.
+== Ph.D. (funded) & Postdoc Positions in Legal NLP / Legal Tech at Technical University of Munich ==
+* Employer: [https://www.in.tum.de/en/cover-page/ Department of Informatics at Technical University of Munich]
+* Title: Ph.D. Student / Postdoctoral Associate Position
+* Speciality: Legal Natural Language Processing
+* Location: Munich, Germany
+* Deadline: April 30, 2021
+* Date posted: March 31, 2021
+* Contact: Matthias Grabmair (matthias.grabmair@tum.de)
-A criminal history background check will be required for finalist(s) under consideration for this position.
+The nascent [https://www.in.tum.de/legaltech/home/ TUM Legal Tech working group] at the Technical University of Munich (TUM) Department of Informatics will be hiring one Ph.D. and one Postdoctoral associate to conduct research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing (NLP), and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. The main focus of the positions will be research projects in NLP on legal text with a focus on exploring the use of neural network models towards analytical objectives of interest to legal experts by implementing models and rigorously evaluating them (e.g., training sequence classifiers on specialized corpora and analyzing model predictions quantitatively and qualitatively over experimental iterations). Other activities include broader AI&Law research and teaching.
-The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
+The initial Ph.D. position employment contract will be for one year and, upon satisfactory evaluation, can be extended through to the completion of the PhD (up to a maximum of four years). The Postdoctorate position's duration will be 18 months from the employment start date.
-The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
+TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.
-If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.
+'''Qualifications''': Ph.D. Applicants should have an excellent master's degree in a relevant discipline. Postdoc applicants should have a doctorate degree in relevant discipline and strong research record. Suitable academic backgrounds are Computer Science, Computational Linguistics, or related discipline. Applicants should be interested in interdisciplinary work on legal data, have the ability to work fluently with complex domain texts, and be versatile programmers.
-UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).
+'''To apply''': Applicants should submit a one-page statement of purpose explaining their motivation for working at the Legal Tech group and relevant experience statement, a two-page, grade transcripts, and contact information for two references by email (matthias.grabmair@tum.de). Applicants should review the [https://www.in.tum.de/fileadmin/w00bws/legaltech/_my_direct_uploads/PhDPostDoc-Legaltech-TUM.pdf full job posting] before submitting their application.
-== Associate Research Scientist, UKP Lab, TU Darmstadt ==
+As part of your application, you provide personal data to the TUM. Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/ . By submitting your application, you confirm to have read and understood the data protection information provided by TUM.
-* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
+== Postdoctoral Fellow Position in NLP in the Department of Population Health Sciences at Weill Cornell Medicine, New York City ==
-* Title: Associate Research Scientist
+* Employer: [https://phs.weill.cornell.edu/ Department of Population Health Sciences at Weill Cornell Medicine]
-* Specialty: Natural language processing
+* Title: Postdoctoral Fellow Position
-* Location: Darmstadt
+* Speciality: Biomedical Natural Language Processing
-* Deadline: September 30, 2018 (or until filled)
+* Location: New York City, USA
-* Date posted: September 6, 2018
+* Deadline: Open until filled
-* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
+* Date posted: 24 March 2021
+* Contact: Yifan Peng (yip4002@med.cornell.edu)
-The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+A postdoctoral fellow position is available in Dr. Yifan Peng's [https://penglab.weill.cornell.edu/ laboratory] in the Department of Population Health Sciences at Weill Cornell Medicine, starting Fall2021. Our laboratory is primarily interested in developing and applying computational approaches to biomedical text data and medical images. Our research has focused on biomedical text mining (e.g., BlueBERT, NegBio, LitVar), medical image analysis (e.g., NIH Chest X-ray, DeepSeeNet), and their combination (e.g., TieNet). The successful applicant will work on an NIH-funded project. The goal of this research project is to use the radiology-specific ontology, NLP, image analysis, and DL to construct a radiology-specific knowledge graph.
-'''Associate Research Scientist'''<br>
+'''Qualifications''': Applicants must have trained with a strong emphasis on text mining. Preference will be given to individuals with expertise in big data/modeling and those with a strong interest in healthcare or life sciences. The position is open to graduating Ph.D. or M.D./Ph.D. students in Computer Science, Bioinformatics, Health informatics, or a related discipline. Current postdoctoral fellows with less than three years of postdoctoral experience are also welcomed.
-'''(PostDoc- or PhD-level; for an initial term of two years)'''
-This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.
+Appointments are initially for two years. The positions can be extended for one or two additional years at the end of the first year based on performance. Stipends are commensurate with research experience and education.
-Possible areas of research include, but are not limited to:
+'''To apply''': Please submit a CV and a one-page research statement to Dr. Yifan Peng (yip4002@med.cornell.edu). Shortlisted candidates will have an online interview.
-* interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
-* NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
-* interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
-* joint text and image processing for content classification in social media, e.g. identifying bias;
-* analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.
-The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.
+Cornell University's Weill Cornell Medicine is located in Manhattan, New York, immediately adjacent to the Sloan Kettering Institute and Rockefeller University, and as such offers the exposure to a dynamic and vibrant scientific environment that provides unique and unparalleled research training opportunities, including seminars given by scientific leaders from throughout the world, exposure to diverse research programs, highly sophisticated core facilities, grant writing workshops, career exploration events, and professional development workshops. Weill Cornell Medicine provides subsidized housing for eligible Postdocs.
-We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.
+Weill Cornell Medicine is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.
-The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining.  UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.
+Additional information can be found at https://phs.weill.cornell.edu/about-us/career-opportunities/postdoctoral-fellow-position-biomedical-or-clinical-nlp
-Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
-== Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland ==
-*Employer: National Library of Medicine
-*Title: Tenure-track and tenure-eligible investigators
-*Specialty: Natural Language Processing
-*Location: Bethesda, MD, USA
-*Deadline: Applications will be accepted until the position is filled.
-*Date posted: August 15, 2018
-*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>
-The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology.
+== Research Fellow in Machine Learning, Natural Language Processing and Speech Processing, University of Southampton, United Kingdom ==
-Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply.
+* Employer: University of Southampton
-Additional details are available by following the links below.
+* Title: Research Fellow in Machine Learning, Natural Language Processing and Speech Processing
+* Specialty: NLP, Machine Learning
+* Location: Southampton, United Kingdom
+* Deadline: 2nd April 2021
+* Date posted: 9th March 2021
+* Contact: Dr Stuart E. Middleton sem03@soton.ac.uk
-https://www.nlm.nih.gov/careers/jobopenings.html
+x Full Time Fixed Term (2 years)
-https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html
-https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html
+The roles will be part of the UKRI Trustworthy Autonomous Systems Hub (TAS Hub). The Hub is led by the University of Southampton with partners from the University of Nottingham and King’s College London. TAS Hub is the focal point of the £33m UKRI Trustworthy Autonomous Systems programme (for more details see www.tas.ac.uk)
+You will undertake independent research as well as working as part of a team - this will include using approaches or methodologies and techniques appropriate to the type of research, and being responsible for writing up your work in order to contribute to published outcomes. There will be the opportunity to use creativity to identify areas for research, develop research methods and extend your research portfolio.
-== Question-Answering Research Internship at Adobe Research, San Jose, California ==
+As the research will need to generalise across more than one application domain (e.g., healthcare, autonomous vehicles, IoT, etc..) this offers the opportunity to collaborate with partners from across the TAS Hub and the wider TAS programme (i.e., the 60+ TAS hub industrial partners and the TAS Nodes) and undertake an industry placements for periods of up to 12 months.
-*Employer: Adobe Research
-*Title: Research Scientist Intern
-*Speciality: Question-answering
-*Location: San Jose, CA, USA
-*Deadline: Applications will be accepted until the position is filled.
-*Date posted: July 3, 2018
-*Contact: Franck Dernoncourt <dernonco@adobe.com>
-We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).
+To take advantage of these opportunities you will have a PhD or equivalent professional qualifications and experience in one of the following areas:- Machine Learning, Natural Language processing, and Speech Processing. As work will need to be carried out in a multi-disciplinary setting involving experts and researchers from fields such as healthcare, law, engineering, business, and policy - it is important that you are able to communicate research outputs in a way that is understandable and useful to researchers from diverse disciplines.
-== Postdoctoral position in natural language understanding, KU Leuven, Belgium ==
+The candidates will have experience in Machine Learning (with applications to computer vision, speech or signal processing), Reinforcement Learning, and Natural Language Processing to develop and evaluate a range of autonomous systems for challenging real-world applications. Experience in evaluative methods such as user studies and surveys, and a demonstrable interest in autonomous systems would be a welcome addition.
-* Employer: KU Leuven, Belgium
+A strong track record of good publications at international venues (ACL, AAAI, IJCAI, AIJ, JAIR, ICML, ICLR, AAMAS, NeurIPS) is desirable.
-* Title: Postdoctoral researcher
-* Specialty: Natural language understanding, machine learning
-* Location: Leuven, Belgium
-* Deadline: July 31, 2018
-* Date posted: June 18, 2018
-* Contact: sien.moens@cs.kuleuven.be
-We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.
+The posts are full time fixed term for up to 2 years. The posts are due to start in June or July 2021
-The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.
+Applications for Research Fellow positions will be considered from candidates who are within six months of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.
+Details and application forms at: [https://www.jobs.ac.uk/job/CEP524/research-fellow-in-machine-learning-natural-language-processing-and-speech-processing?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic link]
-'''Responsibilities'''
-* Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
+== Associate, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH ==
-* Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
+* Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
-* Help in the supervision of PhD researchers of the CALCULUS team.
+* Title: Associate, Applied AI/ML
+* Specialty: Natural Language Processing, Machine Learning
+* Location: New York, NY or Columbus, OH
+* Deadline: Ongoing
+* Date posted: February 12, 2021
+* Contact: [mailto:brian.croy@jpmchase.com brian.croy@jpmchase.com]
-'''Prerequisites'''
+We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.
-* You have (or are near completion of) a PhD in Computer Science (or a related field).
+Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210075689/
-* You have a motivated interest in fundamental research in language understanding and machine learning.
-* You are not afraid of creative and original ideas and solutions.
-* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
-* You are good at collaborating with and leading others.
-* You work proactively and independently and have good communication skills.
-* You have a very good knowledge of English, both spoken and written.
-* You are highly motivated, ambitious and result-oriented.
-'''Offer'''
-* We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
-* We offer a competitive wage and yearly budget to attend conferences and for short research stays.
-'''Interested'''
-If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).
-'''The research team'''
-The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.
+== Vice President, Applied AI/ML, JPMorgan Chase & Co., New York, NY / Columbus, OH ==
+* Employer: JPMorgan Chase & Co., New York, NY / Columbus, OH
+* Title: Vice President, Applied AI/ML
+* Specialty: Natural Language Processing, Machine Learning
+* Location: New York, NY or Columbus, OH
+* Deadline: Ongoing
+* Date posted: February 3, 2021
+* Contact: [mailto:brian.croy@jpmchase.com brian.croy@jpmchase.com]
-'''The university'''
+We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Chase at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.
-KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
+Apply here: https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210055497/
-== Postdoctoral position in multilingual text mining, KU Leuven, Belgium ==
-* Employer: KU Leuven, Belgium
+== Research Fellow position in NLP, National Centre for Text Mining, University of Manchester, UK ==
-* Title: Postdoctoral researcher
+* Employer: National Centre for Text Mining, University of Manchester, UK
-* Specialty: Text mining, machine learning
+* Title: Research Fellow
-* Location: Leuven, Belgium
+* Specialty: Natural Language Processing, Text Mining
-* Deadline: July 31, 2018
+* Location: Manchester, UK
-* Date posted: June 18, 2018
+* Deadline: February 15, 2021
-* Contact: sien.moens@cs.kuleuven.be
+* Date posted: February 2, 2021
+* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]
-We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.
+We invite applications for a postdoctoral Research Fellow in Natural Language Processing, available as soon as possible for 36 months. The Fellow will work on the H2020 EPHOR (https://www.ephor-project.eu), part of the European Human Exposome Network (https://www.humanexposome.eu/). You will develop new algorithms for information extraction, using (semi)-supervised and unsupervised techniques, transfer learning, distant supervision, applied in the area of exposome for a healthy working life. Based at the University of Manchester, Department of Computer Science, you will join a consortium of 19 partners in 12 countries and the research environment of the National Centre for Text Mining. You will be part of an exceptional consortium of exposure, health and data scientists and technology partners with the aim to advance occupational health science in a unique way to reduce the burden of disease.
+The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women's careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/.
-'''Responsibilities'''
-* Design and develop machine learning methods for multilingual text mining.
+Blended working arrangements may be considered.
-* Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.
-'''Prerequisites'''
-* You have (or are near completion of) a PhD in Computer Science (or a related field).
+*Salary: £41,526 to £45,361 per annum according to relevant experience
-* You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
+*Employment type: Fixed Term
-* You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
+*Hours per week: Full time
-* You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
+*Contract Duration: Fixed term from as soon as possible for 36 Months
-* You have a very good knowledge of English, both spoken and written.
-* You are highly motivated, ambitious and result-oriented.
-'''Offer'''
-* We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
+For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19657.
-* We offer a competitive wage and yearly budget to attend conferences.
-'''Interested'''
-If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).
+== '''PhD Student in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany''' ==
+*Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
+*Program in Semantics (Lehrstuhl Semantik)
+*Application deadline: '''March 1, 2021''' (for best consideration, later applications may also be considered)
+*Application address: filip@hhu.de (subject line “PhD student application”)
-'''The research team'''
+A fully funded PhD position for the duration of 3 years.
-The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.
+'''Requirements''': The successful candidate will have an M.A. or a B.A. degree in linguistics or computational linguistics. Desirable qualifications include one or more of the following areas: semantics and/or pragmatics, experience with computational modelling of linguistic data or empirical research (experimental, corpus-based) into linguistic meaning. Knowledge of German is not required.
-'''The university'''
+Application documents:
+*a short cover letter
+*curriculum vitae
+*copy of an M.A., a B.A., or a comparable degree diploma
+*copies of degree transcripts
+*two representative writings
+*the names and email addresses of at least two potential referees
-KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
+All the application documents (apart from the letters of recommendation) should be submitted by email in a single PDF file to: filip@hhu.de. Subject line: “PhD student application”.
-== PhD positions in DFG Graduate School AIPHES, TU Darmstadt ==
+Contact Information:
+*Prof. Hana Filip
+*filip@hhu.de
-* Employer: [https://www.aiphes.tu-darmstadt.de/ DFG Graduate School AIPHES], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
-* Title: Doctoral researcher
+== '''Postdoc Fellow in Computational Linguistics, Heinrich Heine University, Duesseldorf, Germany''' ==
-* Specialty: deep learning, summarization
+*Department of Language and Information, Heinrich-Heine-University Duesseldorf, Germany: http://www.isi.hhu.de/
-* Location: Darmstadt
+*Program in Semantics (Lehrstuhl Semantik)
-* Deadline: June 27, 2018
+*Application deadline: '''March 1, 2021''' (for best consideration, later applications may also be considered)
-* Date posted: June 18, 2018
+*Application address: filip@hhu.de (subject line “Postdoc Computational Linguistics”)
-* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
-The [http://www.aiphes.tu-darmstadt.de/ Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in
+-year full-time postdoc research position in Computational Linguistics (German salary scale 100% 13 TV-L), to begin April 1, 2021, a later starting date is negotiable. The initial appointment is for 1 year, with a possibility of an extension for up to 3 years.
-at Technische Universität Darmstadt and at Ruprecht Karls
-University Heidelberg is filling two positions for three years,
-starting as soon as possible, located in Darmstadt and associated with
-UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.
-The positions provide the opportunity to obtain a doctoral degree with
-an emphasis in
-natural language processing tasks such as structured summaries of
-complex contents, abstractive summarization, or a related area.
-Applicants should be willing to work on cross-lingual, cross-modality
-and domain-independent methods. Prior experience in transfer learning,
-multi-task learning, adversarial learning, deep reinforcement learning
-or related methods is a plus.
-The goal of AIPHES is to conduct innovative research in knowledge
+The successful candidate is expected to conduct research in the domain of computational linguistics, and specifically in the areas that concern natural language meaning, participate in the preparation of grant proposals, as well as to advise students in the area of computational linguistics and related fields. Knowledge of German is not required.
-acquisition on the Web in a cross-disciplinary context. To that end,
-methods in computational linguistics, natural language processing,
-machine learning, computer vision, and data and information management
-will be developed. AIPHES investigates a novel,
-complex scenario for information preparation from heterogeneous
-sources. It interacts closely with end users who prepare textual
-documents in an online editorial office, and who should therefore
-benefit from the results of AIPHES. In-depth knowledge in one of the
-above areas is desirable but not a prerequisite.
-AIPHES emphasizes close contact between the students and their
+'''Requirements:'''
-advisors with regular joint meetings, a co-supervision by professors
+*Completed Ph.D. degree (or an equivalent degree) in Computational Linguistics by the time of application.
-and younger scientists in the research groups, and an intensive
+*Desirable expertise should include one or more of the following: recurrent neural networks for language models, distributional semantic modeling in vector spaces, probabilistic approaches to NLP, experience in experimental methodology.
-exchange as part of the research and qualification program.
-Participating research groups at Technische Universität Darmstadt are
-Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
-Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning
-(Prof. Kersting), Visual
-Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at
-Ruprecht Karls University Heidelberg are the Institute for
-Computational Linguistics (Prof. Frank) and the Natural Language
-Processing Group (Prof. Strube) of the Heidelberg Institute for
-Theoretical Studies (HITS). AIPHES strives to publish its results at
-leading
-scientific conferences and is actively supporting its doctoral
-researchers in this endeavor. The software that will be developed in
-the course of AIPHES should be put under the open source Apache
-Software License 2.0 if possible. Moreover, the research papers and
-datasets should be published with open access models.
-'''Prerequisites'''
+The application should be submitted electronically in one .pdf file and include
+*a short cover letter
+*a full CV including a complete list of publications
+*a brief statement of research experience and plans (1-2 pages)
+*links to papers, writing samples, or electronic versions thereof
+*the names and email addresses of at least two potential referees
-We are looking for exceptionally qualified candidates with a degree in
+Contact Information:
-Computer Science, Machine Learning, NLP, or a related study
+*Prof. Hana Filip
-program. We expect the ability to work independently, personal
+*Email: filip@hhu.de
-commitment,
-team and communication abilities, as well as the willingness to
-cooperate in a multi-disciplinary team. Prior experience in
-scientific work is a plus. We specifically invite
-applications of women. Among those equally qualified, handicapped
-applicants will receive preferential consideration. International
-applications are particularly encouraged.
-The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly
-ranked among the top ones in respective rankings of German
-universities. [https://www.ukp.tu-darmstadt.de UKP Lab] is a highly dynamic research group committed to
-top-level conferences, technologies of the highest standards,
-cooperative work style and close interaction of team members. Its
-BMBF-funded Centre for the Digital Foundation of Research in the
-Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP,
-machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a
-user-defined topic: neural networks determine relevant pro and con
-arguments in real-time, and represent them in a concise summary.
-Applications should include a motivational letter that refers to one of
-the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with
-information about the applicant’s scientific work, certifications of
-study and work experience, as well as a thesis or other publications
-in electronic form. Application materials must be submitted via the
-following form by June, 27th, 2018:
-https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/
+== Assistant Professor in Computational Language Science AI, University of Florida Department of Linguistics==
+*Employer: University of Florida, Department of Linguistics
+*Title: Assistant Professor
+*Specialty: Computational Language Science AI
+*Location: Gainesville, FL
+*Deadline: Feb 1, 2021 (for best consideration)
+*Date posted: Jan 17, 2021
+*Start date: Aug 16, 2021
+*Apply here: https://apply.interfolio.com/83028
+*Contact: Dr. Stephanie Wulff [mailto:swulff@ufl.edu]
-In addition, applicants should be prepared to solve a programming and
+The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of Assistant Professor, effective August 16, 2021. This is a 9-month, tenure accruing position. Applicants are expected to have a Ph.D. in Linguistics, Computer Science, or a closely-related field. Candidates should have an active research agenda studying any aspect of language from a computational perspective. Specializations include but are not limited to Computational Linguistics, Sociolinguistics, Neuro/Psycholinguistics, Corpus Linguistics, Computational Semantics, and/or Language Documentation. UF has recently committed to a university-wide artificial intelligence initiative along with a major super-computing collaboration with NVIDIA (ai.ufl.edu). Thus, we particularly encourage applications from candidates whose research explores artificial intelligence, natural language processing, or computational algorithms, as well as their societal implications. The latter may include issues of equity, bias, accountability, transparency, or inclusivity. The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research in revealing and societally responsible ways. Ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.
-a reviewing task in the first two weeks after their application.
+The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, 5) contribute to UF’s Artificial Intelligence initiative to train graduates for an AI-enabled world, and 6) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the Center for Big Learning, the UF Informatics Institute, or the McKnight Brain Institute.
-== Postdoc position: Bocconi University, Milan ==
-*Employer: Bocconi University
+== Postdoc position on ERC-funded grant Incorporating Demographic Factors into Natural Language Processing Models ==
+*Employer: Bocconi University, Milan, Italy
 *Title: Postdoctoral Researcher
-*Location: Milan, Italy
+*Speciality: NLP, bias, demographic factors
-*Deadline: June 22nd, 2018, 5 p.m.
+*Starting date: March 1 2021, or any time thereafter
-*Starting date: as early as possible, but no later than September 2018
+*Duration: 2 years, 1 year extension possible
-*Duration: 1 year
+*Deadline: 8th Febuary 2021
-*Date Posted: June 18, 2018
+*Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
-*Contact: Paola Cillo (paola.cillo@unibocconi.it)
+*Date posted: 8th January 2021
-*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)
+*Contact: <[mailto:dirk.hovy@unibocconi.it Dirk Hovy]> ([http://www.dirkhovy.com/ website])
+The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, natural language understanding and generation in various languages, and collaborate closely with Dirk Hovy as well as the MilaNLP lab.
-Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.
+Successful candidates will have to prove:
+*Knowledge  of  current  neural  network  models  and  implementation  tools  for  neural  networks (e.g. PyTorch, Tensorflow, Keras, etc.)
+*Experience  with  publications  in  top-tier  venues  in  the  field  of  NLP/Computational  Linguistics.
+*Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
-REQUIREMENTS/QUALIFICATIONS
+HOW TO APPLY:
-The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:
+[https://www.unibocconi.eu/wps/wcm/connect/cc48e97d-616a-458c-a580-ee93f9b8b7b1/BANDO+ADR+BIDSA+ing.pdf?MOD=AJPERES&CVID=nrr-hFS Job ad]
-* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
-* Good programming skills in Python.
-* Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
-* Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
-* Publications in top-tier venues in the field of Computational Linguistics.
-* Experience in Ph.D. student supervision is a plus.
-* Salary: 43,310.50 euros per annum
-HOW TO APPLY
+The official application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) via email to <[mailto:recruiting-adr@unibocconi.it recruiting-adr@unibocconi.it]>
+Candidates should attach publications and a cover letter to their application.
+Skype interviews will take place during February 2021.
-The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it
-You can find more information about the project and call here: https://bit.ly/2t1DnAO
-== Postdocs: Johns Hopkins University ==
-*Employer: Johns Hopkins University
+== Postdoctoral opportunity in Natural Language Processing at DTU, Copenhagen, Denmark, in collaboration with NaCTeM, UK ==
+*Employer: Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen
 *Title: Postdoctoral Researcher
-*Location: Baltimore, MD
+*Speciality: NLP, neural information extracttion
-*Deadline: Applications will be accepted until positions are filled
+*Location: DTU, Copenhagen
-*Date Posted: June 6, 2018
+*Deadline: 8th January 2021
-*Contact: clspsearch@clsp.jhu.edu
+*Date posted: 20th December 2020
-*URL: https://www.clsp.jhu.edu/employment-opportunities/
+*Contact: Evelyn Travnik [mailto:etravnik@biosustain.dtu.dk] and Prof. Sophia Ananiadou [mailto:Sophia.ananiadou@manchester.ac.uk]
+We seek a full-time postdoctoral researcher in NLP, working in the Novo Nordisk Foundation, Center for Biosustainability, Technical University of Denmark (DTU) in Copenhagen. The researcher will join a multi-disciplinary team with diverse specialties in computational biology, data engineering, software development, and natural language processing to further research and development into a new state-of-the-art informatics platform.
-The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.
+The key responsibilities of the researcher include development and evaluation of neural information extraction methods applied to biosciences; supporting knowledge enrichment of analysis results via natural language generation; working closely with a software engineering team to translate best-performing NLP techniques into production and co-supervision of students in NLP.
-The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.
+Although the position is located at DTU Biosustain, the NLP research will be supervised by Prof. S. Ananiadou, National Centre for Text Mining (NaCTeM), The University of Manchester, UK.
+For further information about the project, skills, and further particulars, please visit https://tinyurl.com/y6wrgmsl
-Example topics include:
-* Cross-lingual Information Retrieval
-* Trend Detection in Social Media
-* Social Media and Mental Health
-* Analysis of Clinical Medical Text
-* Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
-* NLP and Machine Learning for Clinical Data Analysis
-Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.
-CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.
+== NLP Research Internship at Adobe Research, remote (US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland) ==
+*Employer: Adobe Research
+*Title: Research Scientist Intern
+*Speciality: NLP, search, dialog, joint NLP+computer vision
+*Location: For 2021, all internships will be remote and available in the following countries only: US, UK, Australia, Canada, France, Germany, India, Japan, Romania, South Korea, Spain, and Switzerland (interns will be advised by Adobe researchers based in the US).
+*Deadline: Applications will be accepted until all positions are filled.
+*Date posted: November 17, 2020
+*Contact: Franck Dernoncourt <[mailto:franck.dernoncourt@adobe.com franck.dernoncourt@adobe.com]> ([https://scholar.google.com/citations?hl=en&user=kz2aIc8AAAAJ&view_op=list_works&sortby=pubdate Google Scholar])
-Applicants are not required to be to US citizens or permanent residents.
+We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary.
-Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.
+To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y We published over 10 papers at EMNLP 2020 and findings of EMNLP 2020.
-Details and application information:
-http://www.clsp.jhu.edu/employment-opportunities/
+== Postdoctoral position @ MPI Leipzig, DE ==
+* Employer: Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences
+* Title: Postdoctoral Researcher
+* Specialty: Natural Language Processing, Time-Series Analysis
+* Location: Leipzig, DE
+* Deadline: December 31, 2020
+* Date posted: November 12, 2020
+* Contact: lmeyer@cbs.mpg.de
-== Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia ==
+Our group (www.languagecycles.com) investigates how periodic electrophysiological activity of the human brain constrains our ability to understand language—and how this may have shaped human languages cross-linguistically. We link behavioral psycholinguistics, experimental neurolinguistics, and corpus linguistics.
-* Employer: University of Tartu, Institute of Computer Science, [https://sep.cs.ut.ee/ Software Engineering group]
-* Title: Research Fellow
+The host institution is equipped with a system of compute servers and clusters, as well as access to the central high-performance computing facilities of the Max Planck Society. a 306-channel MEG system, several EEG systems, TMS, tDCS, two 3-T MRI scanners, a 7.0-T MRI scanner, and a SIEMENS Skyra Connectom high-field MRI scanner as available for neuroscientific research.
-* Speciality: Software engineering, machine learning, natural language processing
-* Location: Tartu, Estonia
+The successful candidate will investigate the relationship between spectral and temporal properties of human electrophysiology and statistical properties of human languages. To this end, the candidate shall devise innovative ways to link classical natural language processing (e.g., parsing, chunking) with time-series analysis (e.g., autocorrelation, Fourier analysis). The researcher is also expected to actively participate in the supervision of the group’s students. The position also encourages collaborative research within the Institute’s broad research portfolio (i.e., four departments as well as a line of junior research groups).
-* Deadline: June 4, 2018
-* Date posted: May 21, 2018
+Applicants must hold a doctoral degree in computational linguistics, linguistic typology, data science, or an adjacent field. Prior international publications in renowned journals are desired. We expect profound experience with annotated linguistic corpora, natural language processing, information theory, and artificial intelligence (e.g. machine learning). The ideal candidate will be versed in time– and frequency-domain time-series analysis and be fluent in Python™, MATLAB® and R.
-* Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)
-'''Postdoctoral position''' <br/>
+The start date of the position should be no later than 1st March 2021. The duration of the post is 2 years, with the possibility of an extension for up to three years. Remuneration is based on the pay scale of the Max Planck Society.
-Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.
-The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:
+The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. International applicants are strongly encouraged to apply.
-* open innovation,
+To apply, please submit a cover letter, your curriculum vitae, a motivational statement referring to all aspects of this call, contact information of two referees, academic certificates, and three prior publications that illustrate suitability. Please apply online via http://www.cbs.mpg.de/vacancies/open-positions (subject heading: “PD 9/20).
-* energy-efficient software development,
-* software testing.
-The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.
+== One Postdoctoral Research position at the University of Colorado at Boulder ==
-'''Requirements''' <br/>
+* Employer: Institute for Cognitive Science, University of Colorado at Boulder
-Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.
+* Title: Research Associate
+* Specialty: Natural Language Processing
+* Location: Boulder, CO, USA
+* Deadline: December 1, 2020
+* Date posted: November 11, 2020
+* Contact: [mailto: Katharina Kann, <katharina.kann@colorado.edu>
-The expected start date is 1 September 2018, but a later start date can be negotiated.
+The University of Colorado Boulder encourages applicants for a postdoctoral researcher position on natural language processing (NLP) technologies for AI-augmented learning. You will work with the natural language understanding and dialog management subgroups of the newly established AI Research Institute for Student-AI Teaming, a 5-year, $20 million research collaboration.
-The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the [https://www.ut.ee/en/welcome/job-offer/research-fellow-software-engineering-0 University's website].
+The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
-== Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at  SUNY Albany ==
+The goal of the AI institute is to reframe the role of Artificial Intelligence in education, moving towards a future where AI is viewed as a social, collaborative partner that helps students work and learn more effectively, engagingly, and equitably, while helping educators focus on what they do best: inspiring and teaching students. The Institute will develop, deploy, and study AI Partners that interact naturally with students and teachers through speech, gesture, gaze, and facial expression in real-world classrooms and remote learning settings. The AI Partners will observe, participate in, and support small groups of students to engage in deep and sustained learning conversations while assisting teachers in orchestrating effective learning experiences at the individual, small group, and whole-class levels.
-* Employer: University at Albany, Research Foundation of the State University of New York, [http://www.ils.albany.edu/ ILS Institute]
-* Title: Postdoctoral researcher
-* Speciality: Cybersecurity, natural language processing, machine learning, experimental design
-* Location: Albany, New York, USA
-* Deadline: July 31, 2018
-* Date posted: May 18, 2018
-* Contact: Tomek Strzalkowski (tomek {at} albany.edu)
-'''Postdoctoral positions''' <br/>
+The successful applicant will develop machine learning algorithms for natural language understanding and dialog management.
-* ''The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project.'' The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
+The candidate will be supervised by Katharina Kann and Alessandro Roncone. The position offers unique postdoctoral training experience and publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, and develop leadership skills by mentoring students.
-* ''The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project.'' The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.
-'''Requirements for the PANACEA position''' <br/>
+-5 year position. The initial contract is for one year (providing renewal after a 6-month probationary period). For each consecutive year, the extension of the contract is based on performance.
-For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.
-* The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.
-'''Requirements for the COMETH positions''' <br/>
+The start date is negotiable but anticipated for early 2021.
-For the COMETH project, we seek '''two''' postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.
-* The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.
+Job Application site: https://jobs.colorado.edu/jobs/JobDetail/Research-Associate/27241
-* The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.
-'''Overall Requirements''' <br/>
+== Two Research Associate positions in NLP, National Centre for Text Mining, University of Manchester, UK ==
-* For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.
+* Employer: National Centre for Text Mining, University of Manchester, UK
+* Title: Research Associate
+* Specialty: Natural Language Processing
+* Location: Manchester, UK
+* Deadline: October 29, 2020
+* Date posted: September  29, 2020
+* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia.ananiadou@manchester.ac.uk]
-The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.
+The University of Manchester invites applications for two postdoctoral Research Associates in NLP. The posts are available immediately until the end of July 2022. The posts aim to conduct fundamental research in neural NLP (information extraction and summarisation) and they will be hosted at the National Centre for Text Mining (http://www.nactem.ac.uk) located at the Manchester Institute of Biotechnology (http://www.mib.ac.uk).
-'''How to Apply''' <br/>
+You will join the National Centre for Text Mining (NaCTeM), a leading centre in text mining led by Professor Sophia Ananiadou. You should have a strong background in neural Natural Language Processing and excellent programming skills.
-Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu
+SALARY - £32,816 to £40,322 per annum, depending on relevant experience
+CLOSING DATE - 29/10/2020
+FURTHER DETAILS AND APPLICATION FORM - https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=19112
-== Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland ==
+== Teaching and Research Position in Computational Linguistics at the University of Tübingen, Germany ==
-* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
+* Employer: Division of General and Computational Linguistics, University of Tübingen, Germany
-* Title: Two PhD positions
+* Title: Research Scientist (Wissenschaftlicher Mitarbeiter)
-* Speciality: Natural Language Understanding, Summarisation, Machine Learning
+* Specialty: Data-driven approaches to computational linguistics, Computational semantics; Computational lexicography
-* Location: Martigny, Switzerland
+* Location: Tübingen, Germany
-* Deadline: May 31, 2018
+* Deadline: October 15, 2020
-* Date posted: April 30, 2018
+* Date posted: September 16, 2020
-* Contact: James Henderson (james.henderson@idiap.ch)
+* Contact: [mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de]
-'''Two PhD positions'''
+The Division of General and Computational Linguistics in the Department of Linguistics at the University of Tübingen, Germany is searching for a Computational Linguist whose research experience complements existing strengths in the department. While computational linguists working in any subarea of the field are encouraged to apply, preference will be given to candidates who specialize in one or more of the following areas:
+* data-driven approaches to computational linguistics (esp. machine learning);
+* computational semantics;
+* computational lexicography
-The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.
+Knowledge of German is highly desirable. Duties for this post include teaching (with English as the language of instruction), independent research and participation in externally-funded, on-going research projects. Further information about the department can be found at https://uni-tuebingen.de/en/133894
-The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation.  One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation).  Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.
+The starting date for the position is November 1, 2020.  The initial period of appointment is for two years, with the possibility of renewal for another two-year term.
-This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures.  The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity.  Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts.  Methods for finding the intersection of information in vectors will be extended to clustering texts by  their shared content and generating abstract summaries.
+The position is at the rank of "Wissenschaftlicher Mitarbeiter" (qualification: Ph.D. preferred; M.Sc., M.A. or equivalent required).  Salary will be according to the German Salary System TV-L 13, 100%.
-The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing.  The applicant should also have strong programming skills.
+Applications should include CV, an outline of research experience/interests, as well as contact data of at least two references.
-The successful PhD candidates will join the [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group] at Idiap, under the supervision of Dr. James Henderson.  They will also become doctoral students at [http://www.epfl.ch EPFL] conditional on parallel application to, and acceptance by, the [http://phd.epfl.ch/applicants EPFL Doctoral School]. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).
+Applications should be sent by October 15, 2020 to:
-Please apply online here:
+[mailto:acl-jobs@sfs.uni-tuebingen.de acl-jobs@sfs.uni-tuebingen.de]
-[http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D]
-'''Idiap'''
+The University of Tübingen wishes to increase the proportion of women in research and teaching, and encourages qualified female researchers to apply. Individuals with disabilities are also strongly encouraged to apply and will be given preferential consideration when their qualifications are equivalent to those of other applicants.
-Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny.  It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva.  Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.
+== Industry-related Postdoc in Natural Language Processing at the Media Technology Center of ETH Zurich ==
+* Employer: [https://mtc.ethz.ch/ Media Technology Center], ETH Zurich, Switzerland
+* Title: Postdoctoral Researcher
+* Specialty: NLP, Machine Translation
+* Location: Zurich, Switzerland
+* Deadline: applications currently accepted and reviewed on a rolling basis
+* Date posted: August 27, 2020
+* Contact: [mailto:severin.klingler@inf.ethz.ch Mr. Severin Klingler]
+The ETH Media Technology Center is a place where you will work at the intersection of research and industry applications. Together with our industry partners, we are building the media technologies of tomorrow. To achieve this, the center provides a platform to work on technological innovations at the intersection of media technology, digital journalism, and design. To join our interdisciplinary team, we offer a position as a Postdoctoral Researcher in Natural Language Processing.
+'''Project background'''
-== 2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium ==
+Together with our industry partner, we are currently exploring how we can make recent advances in NLP accessible to the Swiss media.  Most models in natural language processing (NLP) show the best performance for English since, traditionally, research questions are addressed first for English texts. Besides, most available data sets are in English. This has led to a considerable performance gap between NLP methods for English and other languages. The media landscape of Switzerland offers a unique opportunity to advance the state-of-the-art in multilingual NLP research: Despite its small size, Switzerland has four official national languages and a variety of strong dialects that are used in written and oral communication.
-* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
-* Title: Postdoctoral researcher
-* Speciality: Text mining, natural language understanding, machine learning
-* Location: Leuven, Belgium
-* Deadline: May 21, 2018
-* Date posted: April 23, 2018
-* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)
-'''Postdoctoral positions''' <br/>
+'''Job descritpion'''
-* Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
+You will be responsible for 1-2 applied research projects with a clear focus on the potential impact for our industry partners. You will be developing new algorithms and systems as well as adapting the state-of-the-art to the specific challenges of our partners. In dialogue with our industry partners, you will develop novel methods that have a direct impact on the (Swiss) media industry. For this, you will be working closely together with research engineers that will implement your research into software prototypes. Many of the projects at the center are interdisciplinary and lie at the intersection of machine learning, computer vision, and natural language processing. You will be working on projects such as multilingual text summarization for news articles or automatic post-editing of machine-translated text to adapt it for journalistic purposes. Projects have clear deliverables and milestones and are decided upon by the media technology center's steering committee.
-* Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.
-'''Requirements''' <br/>
+'''Your profile'''
-*PhD in computer science or equivalent.
+* Must hold Ph.D. in computer science or related fields (e.g., electrical engineering, computational science)
-* Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.
+* Proven track record in natural language processing (publications in conference venues such as ACL, EMNLP, NeurIPS, ICML, ICLR)
+* Interest in working on applied research projects at the intersection between academia and industry.
+* Proficiency in written and verbal communication in English.
+* Speaking one of the national languages of Switzerland is a plus: German, French, Italian, Romansh.
-The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
-KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
-== 2 PhD positions in natural language understanding at KU Leuven, Belgium ==
+'''Interested?'''
-* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
+* Apply online on ETH Jobs portal: https://jobs.ethz.ch/job/view/JOPG_ethz_EgH7KpIva0HtUxknz7
-* Title: PhD researcher
+* A complete application includes:
-* Speciality: Natural language understanding, machine learning
+** a Cover letter: a short (one page or less) statement of your research interests and your motivation for joining the center
-* Location: Leuven, Belgium
+** CV and publication list
-* Deadline: May 21, 2018
+** University degree(s)
-* Date posted: April 23, 2018
+* Applications will be reviewed on a rolling basis
-* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)
+* Further information about the Media Technology Center can be found on our website, [https://mtc.ethz.ch/ mtc.ethz.ch]. For more information about the position, contact Dr. Severin Klingler by e-mail [mailto:severin.klingler@inf.ethz.ch severin.klingler@inf.ethz.ch] (no applications).
-'''PhD positions''' <br/>
+== Open-Rank (Asst/Assoc/Full) Research Scientist in Machine Learning and Natural Language Processing, Global Security Initiative, Arizona State University ==
+* Employer: [https://globalsecurity.asu.edu/ Global Security Initiative], Arizona State University
+* Title: (Asst/Assoc/Full) Research Scientist
+* Specialty: NLP, Machine Learning, Text Mining
+* Location: Tempe, Arizona, USA
+* Deadline: applications currently accepted and reviewed on a rolling basis; after 31 August 2020 applications accepted into a reserve pool
+* Date posted: May 14, 2020
+* Contact: [mailto:aimee.r.hill@asu.edu Ms. Aimee Hill]
-* PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.
+The Global Security Initiative at Arizona State University is an interdisciplinary hub facilitating research on wicked problems affecting national security. In an effort to develop theories, methods and tools to address the national security risks associated with narrative, disinformation and strategic influence, the GSI seeks to expand its research team with a research scientist well-versed in computational linguistics, data analysis and/or machine learning.  Initially, the primary project this position will focus on is an Office of Naval Research funded effort studying adversarial framing in the information environment.  The ultimate goal is an automated, unsupervised means of detecting framing and correctly categorizing the instances of framing.
-* PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.
+Long-term, the role of the Research Scientist position is to identify research opportunities and pursue research efforts that develop scientific tools to allow analysts and decision-makers to dynamically analyze discourse in mainstream and social media; and also interact with other research teams to integrate these results into analyses of the information environment, including a real-time modeling and also simulation environments.
-'''Requirements''' <br/>
+Essential duties:
-*Master degree in computer science or equivalent.
+* Conduct independent research under minimal supervision
-*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.
+* Development of natural language processing functions and tools
+* Build and nurture relationships with relevant government agencies, industry representatives, and philanthropic organizations, as well as across the university
-The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
+Qualifications:
-KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!
+* Ph.D. in Computational Linguistics or related field with emphasis on text understanding, natural language semantics, Natural Language Processing concurrent discourse relations, and probabilistic graph models.
+* Experience in performing one or more of the following tasks: narrative identification and analysis; framing analysis; parsing, semantic role labeling, and extraction of semantic triples; event detection in text streams; concept-based text clustering; machine reading and classification
+* Ability to develop data visualization and interpret findings creatively in a variety of formats
+* Demonstrated ability to work closely across an array of interdisciplinary teams and organizations
+* Excellent verbal and written communication skills in English
+* Experience with mentorship and management of graduate students
+* Evidence of ability to secure external research funding and execute projects for mission-oriented sponsors
-== Associate Research Scientist (NLP, machine learning and text mining), TU Darmstadt ==
+Application Instructions
+* Apply via Interfolio: https://apply.interfolio.com/76127
+* A complete application includes:
+** a cover letter
+** CV
+** summary of relevant past work (two pages maximum)
+** a one-page statement of potential research interests
+** the names and contact information of three professional references
+* Emailed applications will not be accepted.
+* Applications will be reviewed on a rolling basis; after August 31, 2020, applications will continue to be accepted for a reserve pool.  Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.
+== Associate Research Scientist in Machine Learning and Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt ==
 * Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 * Title: Associate Research Scientist
-* Specialty: NLP, machine learning, text mining
+* Specialty: NLP, Machine Learning, Text Mining
 * Location: Darmstadt
-* Deadline: March 28, 2018
+* Deadline: August 15, 2020
-* Date posted: March 19, 2018
+* Date posted: July 20, 2020
-* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
+* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
+The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has several openings for an
+Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two to three years, depending on the project)
+We are looking to strengthen our group’s profile in different areas of Machine Learning and Natural Language Processing (NLP). Potential topics include but are not limited to:
+* human-in-the-loop machine learning and interactive NLP,
+* cross-lingual, multi-modal and low-resource NLP,
+* NLP for healthcare related to COVID-19, such as domain-specific question answering, evidence mining, or information verification,
+* NLP to combat misinformation such as fake news or conspiracy theories,
+* conversational AI.
+In addition, we welcome applications of individuals interested in research-oriented infrastructure projects. In particular, we perform research and development in:
+* AI-based solutions for peer-reviewing,
+* machine learning for computational lexicography.
+UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning.
+Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general.
+We are looking for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining. Prior experience with neural network architectures, reinforcement learning and other relevant areas of NLP and Machine Learning are a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
-The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
+UKP Lab (cf. https://www.informatik.tu-darmstadt.de) provides a highly agile, diverse and supportive research environment. The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning. The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities. Its unique profile around AI (cf. https://www.ai-da.tu-darmstadt.de) and information processing (cf. https://www.informatik.tu-darmstadt.de/aiphes) emphasizes NLP, machine learning and their great potential for the industry and society at large. UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members. The selected candidates enjoy diverse opportunities for professional growth, leading to successful faculty careers or exciting industrial employments. Darmstadt is very close to the Frankfurt airport and provides an excellent living environment for incoming staff members.
-'''Associate Research Scientist'''
+The position assumes you will be eligible for moving to Darmstadt or a nearby German location by the end of 2020. It is currently not possible to provide remote employment opportunities that would allow you to work from another country.
-(PostDoc- or PhD-level; for a term of three years with an extension option)
-This position is intended to strengthen the profile of [https://www.ukp.tu-darmstadt.de/ the lab] in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.
+To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by August 15th, 2020: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. Applications arriving after the deadline will still be considered until the position is filled.
-We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.
+== PhD position at the Norwegian Computing Center ==
+* Employer: [http://www.nr.no Norwegian Computing Center], Norway
+* Title: PhD Research Fellow
+* Specialty: Dialogue modelling, human-robot interaction
+* Location: Oslo, Norway
+* Deadline: August 16, 2020
+* Date posted: July 9, 2020
+* Contact: [mailto:plison@nr.no Pierre Lison]
-The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group [https://www.aiphes.tu-darmstadt.de/de/aiphes/ “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG and the BMBF-funded [https://www.cedifor.de/en/cedifor/ Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR)] emphasize NLP, machine learning and text mining.  UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.
+We offer a fully-funded PhD position at the Norwegian Computing Center (NR) in Oslo, Norway.
-Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment the application form] by '''March 28, 2018'''. The position is open until filled.
+The position is associated with the [http://graphdial.nr.no GraphDial] project funded by the Research Council of Norway.  The goal of GraphDial is to advance the state of the art in dialogue management and human-robot interaction by investigating the use of *graphs* to represent the dialogue state. The project brings together researchers from the field of spoken dialogue systems, statistical relational learning, graph neural networks and human–robot interaction. Don't miss this opportunity if you are interested in conversational AI!
-== PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning ==
+The position is fully-funded, with a fellowship period of 3 years. The candidate will be employed at the Norwegian Computing Center, but will be simultaneously affiliated to the PhD programme of the Department of Informatics at the University of Oslo, where the final PhD degree will be awarded.
-* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt]
+'''We offer''': a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.
-* Title: Doctoral researcher
-* Speciality: Natural Language Processing and Machine Learning
+'''Requirements''': Applicants must hold a Master’s degree or equivalent in NLP or Artificial Intelligence  or in Computer Science with a specialization in NLP/AI, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required.
-* Location: Darmstadt
-* Deadline: April 3, 2018
+To know more about the position, see [https://jobbnorge.no/en/available-jobs/job/190408/phd-research-fellow-in-natural-language-processing].
-* Date posted: March 19, 2018
-* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]
+Application deadline: August 16.
+Feel free to contact [mailto:plison@nr.no us] for any questions regarding this position.
+== PhD position at the University of Oslo ==
+* Employer: [http://www.uio.no University of Oslo], Norway
+* Title: PhD Research Fellow
+* Specialty: Natural Language Processing, Data Privacy
+* Location: Oslo, Norway
+* Deadline: August 15, 2020
+* Date posted: June 25, 2020
+* Contact: [mailto:plison@nr.no Pierre Lison]
+We have one fully-funded PhD position at the Language Technology Group, University of Oslo. The position is funded by the [http://cleanup.nr.no CLEANUP project] funded by the Research Council of Norway.
+CLEANUP is an exciting research project at the intersection of natural language processing and data privacy and aims to develop a range of new machine learning methods to automatically anonymise (or at least strongly de-identify) text documents such as electronic patient records, court rulings or chat-based interactions with customers.
+The project brings together researchers from machine learning, natural language processing, computational privacy, statistical modelling, health informatics and IT law. In addition, partners from the Norwegian public and private sector (covering the fields of healthcare, welfare, banking, insurance and legal publishing) will contribute to the project with their data and domain knowledge.
+The position is located within the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. LTG conducts research on a range of NLP topics like semantic parsing, distributional semantics, sentiment analysis, clinical NLP, and more. While the research profile of the group is heavily machine-learning oriented, our projects typically combines data-driven approaches with an interest for linguistic analysis and insight. The group has access to excellent HPC infrastructure.
+'''We offer''': a competitive salary combined with attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.
+'''Requirements:''' Applicants must hold a Master’s degree or equivalent in NLP  or in Computer Science with a specialization in NLP, with minimum grade B (ECTS grading scale) or equivalent. Fluent oral and written communication skills in English are required. Working knowledge of Norwegian is also recommended, as the project will mainly work on Norwegian documents. Candidates that do not currently speak Norwegian or a related Scandinavian language can nevertheless apply if they are willing to learn Norwegian promptly upon arrival in Norway.
+The full advert for the PhD position can be found at:
+	[https://www.jobbnorge.no/en/available-jobs/job/189315/phd-research-fellowship-in-natural-language-processing]
+Feel free to contact us for any questions regarding this position.
+== PostDoctoral Position at the University of Alberta ==
+* Employer: [http://www.ualberta.ca University of Alberta], Edmonton, Alberta, Canada
+* Title: Postdoctoral Fellow Position
+* Specialty: NLP, Language modeling, language acquisition, multilingualism, deep learning
+* Location: Edmonton, AB, Canada
+* Deadline: July 30, 2020
+* Date posted: June 22, 2020
+* Contact: [mailto:demmanse@ualberta.ca Carrie Demmans Epp]
+The Department of Computing Science at the University of Alberta seeks exceptional candidates for a post-doctoral appointment to be held jointly in the Fyshe and EdTeKLA research groups. The appointment will initially be for a one-year term and will be renewable for an additional year subject to availability of funding and satisfactory performance. The post-doctoral appointee will work on activities related to the computational modeling stream of a large collaborative grant that aims to better understand the language development and literacy.
+The person filling this position will work with Alona Fyshe and Carrie Demmans Epp on projects concerning models of the second language acquisition.  Research may include:
+*language modeling,
+*deep learning, including training large models using GPUs
+*possible analysis of neuro-imaging data (e.g., fMRI or EEG).
+Candidates must have demonstrated expertise in machine learning and natural language processing (NLP). Backgrounds in cognitive psychology, language acquisition, bilingual language, and literacy, among others, are advantageous. We are especially interested in exceptional candidates who transcend traditional disciplinary boundaries and complement our existing strengths. Preference will be given to those who are interested in collaborating on research projects with other members of the grant who have backgrounds in linguistics, psychology, and education.
+In addition to English, proficiency in one of the below languages or language families will be considered an asset
+*Algonquin languages (e.g., Cree)
+*Arabic
+*Chinese
+*Farsi
+*French
+The [http://www.cs.ualberta.ca Department of Computing Science ] is home to nearly 50 tenured and tenure-track faculty members and over 200 graduate students in its PhD and thesis-based MSc programs. Its faculty members have ties to the Faculty of Education and they participate in national and international research networks as well as cross-discipline institutes within the university.
+[http://www.ualberta.ca The University of Alberta] ranks consistently within Canada’s five best medical/doctoral universities. Over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows are part of the university’s exceptional learning and research environment. Edmonton (http://www.edmonton.ca), Alberta’s capital, offers a rich array of cultural, professional, sports, and entrepreneurial activities, with easy access to Canada’s Rocky Mountains, and its public elementary and secondary schools provide high-quality education.
+Edmonton is also home to [http://amii.ca The Alberta Machine Intelligence Institute] (amii), which is part of the CIFAR $125M Pan-Canadian AI Strategy.  Amii has attracted an extremely strong cohort of professors, post-docs and graduate students, and enhanced what was already a very strong machine learning community in Edmonton. Successful candidates will become members of amii, and will be able to take advantage of amii events and resources.
+Please submit a cover letter, CV, one-page research statement, and 2-5 references to [mailto:demmanse@ualberta.ca Carrie Demmans Epp]. We are looking for someone to start as soon as possible. The review of applications will begin on June 22 and will continue until a suitable candidate is found; in order to ensure full consideration, applications must be completed by July 30.
+The University of Alberta is committed to an equitable, diverse, and an inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.
+== Summer internship in language technology, Austrian Research Institute for Artificial Intelligence, Vienna ==
+* Employer: [http://ofai.at Austrian Research Institute for Artificial Intelligence], Vienna
+* Title: Student intern
+* Specialty: Language technology, computer-assisted translation
+* Location: Vienna, Austria
+* Deadline: June 15, 2020
+* Date posted: June 2, 2020
+* Contact: [mailto:tristan.miller@ofai.at tristan.miller@ofai.at]
+The Language and Interaction Technologies Group of the Austrian Research Institute for Artificial Intelligence (OFAI) in Vienna is seeking a student intern for programming tasks in the field of natural language processing.
+The successful applicant will be responsible for helping to program the front and back ends of an interactive, graphical tool for computer-assisted translation of creative language.  The work will be carried out in close cooperation with the project leader, within the framework of the FWF-funded project Computational Pun-derstanding: https://punderstanding.ofai.at/
-The Research Training Group [http://www.aiphes.tu-darmstadt.de/ "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES)], which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.
+The position is a fixed-term one-month contract for 20 hours per week, with the possibility to extend the contract for additional months, subject to project requirements and satisfactory job performance.  Remuneration will be in accordance with the standard student assistant salary for FWF projects: https://www.fwf.ac.at/en/research-funding/personnel-costs/
-The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.
+'''Requirements:''' Applicants must demonstrate:
-The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.
+* Good knowledge of English and German
+* Good programming skills in Java (or less preferably in Python)
+* Permission to work in Austria
+* Interest in linguistics, language technology, and/or natural language processing
-AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
+Previous experience in developing graphical user interfaces is a big plus.
-'''Prerequisites'''
+'''Application procedure:''' Applications, including a cover letter and a CV detailing previous academic work and programming experience, should be submitted via e-mail to Tristan Miller: [mailto:tristan.miller@ofai.at tristan.miller@ofai.at]
-We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.
+Applications should be submitted by 15 June 2020.  Applications received after this deadline will be considered if the position remains unfilled.
-The research environment is excellent.  The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly ranked among the top ones in respective rankings of German universities. [https://www.ukp.tu-darmstadt.de/ UKP Lab] is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.
-Applications should include a motivational letter that refers to one of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by '''April 3rd, 2018''': https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/
+== Multiple PhD positions in deep learning for natural language understanding at Idiap, Switzerland ==
+* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
+* Title: Multiple PhD positions
+* Speciality: Natural Language Understanding, Machine Learning
+* Location: Martigny, Switzerland
+* Deadline: 31 May, 2020
+* Date posted: 8 May, 2020
+* Contact: James Henderson (james.henderson@idiap.ch)
-In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.
+'''Multiple PhD positions'''
-== Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining ==
+The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for multiple PhD student positions in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the [https://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group].  For more details, please see the announcements [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710292%27%7D here] and [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710290%27%7D here].
-* Employer: IDSIA (www.idsia.ch)
-* Title: Tenure track
-* Specialty: Natural Language Understanding and Text Mining
-* Location: Lugano, Switzerland
-* Deadline: March 31th, 2018 (start date flexible)
-* Date posted: March 16, 2018
-* Contact email: Giorgio Corani (giorgio.corani@supsi.ch)
-'''Project Description''' <br/>
+Idiap offers competitive salaries, a beautiful location, and a world-class AI research community.  PhD students are registered at EPFL, Switzerland.  Some of these positions are to work on the Swiss center of excellence (NCCR) project: Evolving Language.
-The person hired on this position will evenly share her/his working time on two main activities:
-*Basic research, aiming at publications in highly rated journals and international conferences;
+The ideal candidate should hold a Master-level degree in computer science, computational linguistics or related fields.  She or he should have a background in natural language processing or machine learning, and should have strong programming skills.
-*Applied research, collaborating with industrial partners in cutting-edge projects.
-A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.
+All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).
-The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.
+Please apply online either [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710292%27%7D here] or [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710290%27%7D here].
-'''Requirements''' <br/>
-*The position is for a  young researcher who  has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
-*Master in informatics or other areas with strong emphasis on computation;
-*Excellent programming skills and deep knowledge of libraries for natural language processing;
-*Communication and collaboration skills.
-*Proficiency in written and spoken in English.
-'''Optional but preferential''' <br/>
+== Postdoctoral position in deep learning for natural language understanding at Idiap, Switzerland ==
+* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
+* Title: Postdoctoral researcher
+* Speciality: Natural Language Understanding, Machine Learning
+* Location: Martigny, Switzerland
+* Deadline: 31 May, 2020
+* Date posted: 8 May, 2020
+* Contact: James Henderson (james.henderson@idiap.ch)
-*Strong publications record;
+'''Postdoctoral position'''
-*Capability of leading projects carried out with industrial partners on automatic analysis of documents;
-*Good knowledge of machine learning algorithms and tools;
-*Good knowledge of written and spoken Italian, or willingness to learn it in short times.
-'''We offer''' <br/>
+The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for a Postdoctoral researcher position in the area of deep learning methods for natural language understanding, to work with Dr. James Henderson in the [https://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group].  This position is to work on the Swiss center of excellence (NCCR) project: Evolving Language.  For more details, please see the [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710291%27%7D announcement here].
-*A tenure track position (degree of occupancy 100%)
+The ideal candidate should hold a PhD degree in computer science, computational linguistics or related fields.  She or he should have a background in natural language processing and machine learning, and should have strong programming skills.
-*International working environment;
-*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [http://ipg.idsia.ch]);
-*Salary starting from 80,000 CHF / year (about 84,000 $/year)
-'''Application''' <br/>
+All questions related to these positions should be sent to Dr. James Henderson (james.henderson@idiap.ch).
-Applicants should submit the following documents, written in English:
-*curriculum vitae
+Please apply online [https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710291%27%7D here].
-*list of exams and grades obtained during the Bachelor and the Master of Science;
-*list of three references (with e-mail addresses);
-*brief statement on how their research interests fit the topics above (1-2 pages);
-*publications list and possibly link to the thesis.
-Applications should be submitted through the [http://www.form-ru.app.supsi.ch/view.php?id=276008 Application website]
-== Postdoctoral position in Psychology at University of Pennsylvania==
-* Employer: University of Pennsylvania
+== Postdoc in NLP, ITU Copenhagen (Denmark) ==
-* Title: Postdoctoral Researcher
+* Employer: Department of Computer Science, IT University of Copenhagen, Denmark
-* Specialty: Computational Linguistics
+* Specialty: Natural language processing / Machine learning
-* Location: Philadelphia, Pennsylvania
+* Location: Copenhagen, Denmark
-* Deadline: March 20th, 2018 (start date flexible)
+* Deadline: 12 June 2020, at 23:59 CEST.
-* Date posted: February 27, 2018
+* Contact: [mailto:ld@itu.dk Leon Derczynski]
-* Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)
+* Date posted: May 1st 2020
+* Start Date: August 1st 2020
-'''Project Description''' <br/>
+The IT University of Copenhagen invites applications for a postdoc position to research cross-domain and cross-language transfer methods for natural language processing. The ClinRead project at ITU Copenhagen, funded by the Novo Nordisk Foundation, needs a full time post-doctoral researcher in natural language processing starting 1 August 2020 latest. The position is funded for 12 months, with possible extension. 100% of the time is allocated to research activities.
-The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.
+The project application domain is information extract over patient notes in clinical journals. This provides the scope to do basic research in transfer learning for NLP. More details are here: https://nlp.itu.dk/2019/12/13/clinread-understanding-clinical-notes-for-new-languages-novo-nordisk-foundation-grant-for-leon-derczynski/
+The project is led by Dr. Leon Strømberg-Derczynski, who is an Assistant Professor in Computer Science at ITU.
-'''Requirements''' <br/>
+'''Candidate'''
-Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.
-'''Additional Details''' <br/>
+* You must either: (a) hold a PhD in a discipline related to natural language processing; or (b) have an expected PhD award date (with evidence) before 31 January 2021, with all PhD documents submitted before 31 October 2020.
-The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn.  The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.
+* You need to have published academic publications in natural language processing.
+* Excellent written and spoken English language skills are required.
+* Applications from both industry and academia are welcome.
+* The project works with Danish data, so excellent proficiency in Danish is beneficial.
-'''How to Apply''' <br/>
+'''Working in Copenhagen'''
-Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.
+Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Living and working in Copenhagen will be a good
+experience for you and your family.
-== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==
+'''General information'''
-* Employer: Rochester Institute of Technology
+The IT University of Copenhagen is a teaching and research university concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time academics. Research and teaching in information technology spans all academic activities which involve computers including computer science, information and media sciences, humanities and social  sciences, business impact and the commercialization of IT.
-* Title: Postdoctoral Research Scientist
+Questions about the positions can be directed to Assistant Professor, Leon Strømberg-Derczynski, IT University of Copenhagen, leod@itu.dk.
-* Specialty: Postdoctoral Research Scientist: Computational Linguistics
-* Location: Rochester, New York, United States
-* Deadline: Open until filled
-* Date posted: February 17, 2018
-* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])
-* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]
-We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.
+'''Salary'''
+Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).
-'''Required Minimum Qualifications:''' <br/>
-* PhD., with training in Computational Linguistics, Linguistics, or an allied field
-* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
-* Publication record and plan for research and grant seeking activities
-* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences
-'''Required Application Documents:'''<br/>
-Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement
-'''How To Apply:'''<br/>
-Please apply at: [http://careers.rit.edu/staff http://careers.rit.edu/staff]. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.
-== Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan ==
+'''Application procedure'''
+You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies.
+The IT University uses tests in connection with the recruitment process.
-* Employer: University of Michigan
+* Application deadline: '''12 June 2020, at 23:59 CEST.'''
-* Title: Research Fellow
-* Specialty: Postdoctoral Research Fellow: Automated Text Analysis
-* Location: Ann Arbor, Michigan, United States
-* Deadline: March 12, 2018, desired start June 2018
-* Date posted: February 12, 2018
-* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]
-'''How to Apply''' <br/>
+The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.
-A cover letter is required for consideration for this position and should be included as the first page of your CV.  The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.
-'''Job Summary''' <br/>
+Apply here: [https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181159&DepartmentId=3439&MediaId=5]
-A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team.  Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.
-This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.
+== Postdoctoral Researcher, University of Memphis (USA) ==
+* Employer: Institute for Intelligent Systems, University of Memphis, USA
+* Specialty: Cognitive Science with an emphasis on language, learning, and/or AI
+* Location: Memphis, TN USA
+* Deadline: open until filled
+* Contact: [mailto:aolney@memphis.edu Andrew Olney]
+* Date posted: March 5th 2020
+* Start Date: May 1st 2020
-'''Responsibilities'''
+The Institute for Intelligent Systems at The University of Memphis invites applications for a postdoctoral researcher. The 12-month position will start in May 2020 pending the availability of funds. Candidates must have a Ph.D. in hand by May 2020 and must have a compelling record of research success and potential.
-* Retrieve and create corpora for NLP and associated linguistic analysis
-* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
-* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
-* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and  academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
-* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles
-'''Required Qualifications''' <br/>
+The successful candidate will complement interdisciplinary research at the IIS in one or more of the following focus areas: learning, language, and artificial intelligence. Candidates are encouraged to work on their own research agenda but may join existing projects. Mentoring will be provided based on research focus. Candidates from minority and underrepresented groups are highly encouraged to apply. Salary is competitive and commensurate with qualifications and experience.
-Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required.  Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.
-'''Background Screening'''<br/>
+Please submit a letter detailing current research interests,  a curriculum vitae, three representative publications, and email addresses for three professional references on-line at https://workforum.memphis.edu. For all other inquiries please contact Andrew Olney, aolney@memphis.edu. Review of applications will begin on March  1, 2020.
-The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
+A background check will be required for employment. The University of Memphis is an Equal Opportunity/Equal Access/Affirmative Action employer committed to achieving a diverse workforce.
-'''U-M EEO/AA Statement''' <br/>
+== Two Research Fellows in Natural Language Processing, Artificial Intelligence Research Centre, Japan ==
-The University of Michigan is an equal opportunity/affirmative action employer.
+* Employer: Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining, UK
+* Specialty: Natural Language Processing, Information Extraction, Knowledge Discovery
+* Location: Tokyo, Japan
+* Deadline: 31st March 2020
+* Contact: [mailto:Sophia.ananiadou@manchester.ac.uk Sophia Ananiadou]
+* Date posted: March 4th 2020
+* Start Date: ASAP
+The Artificial Intelligence Research Centre, Japan and the National Centre for Text Mining (UK) invite applications for two Research Fellows in Natural Language Processing. This is an exciting opportunity for two ambitious researchers to work on a major interdisciplinary project on Cancer, funded by the Japan Agency for Medical Research and Development.  The posts aim to promote novel research into information extraction and knowledge discovery for immunotherapy for cancer mechanisms.  The two fellows will work together and will also collaborate with NLP researchers both in Japan and in the UK, as well as with data scientists and medical practitioners in Japan.
-== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==
+Although the posts will be located in AIRC, Japan (https://www.airc.aist.go.jp/en/intro/), the NLP research will be carried out in collaboration with the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), Department of Computer Science at The University of Manchester. The successful candidates will benefit from the vibrant research environments of both AIRC and NaCTeM.
-* Employer: University of Colorado Boulder
+'''Essential skills''': candidates should have a PhD in Computer Science with an emphasis on Natural Language Processing/Machine Learning.  They should have excellent knowledge of neural network architectures for NLP, information extraction (relation and event extraction) at scale, unsupervised learning or distant learning. Good programming skills (Perl, Python or other scripting languages) are highly desirable. Candidates should have a proven publication track record in high quality venues (e.g. ACL, EMNLP, AAAI, NAACL, etc.). Fluency in English is a must. They should have good written skills in English, be able to communicate with the partners of the consortium and work independently to meet deadlines.
-* Title: Postdoctoral Associate
-* Specialty: Machine Learning, Speech and Language Processing
-* Location: Boulder, Colorado, United States
-* Deadline: Ongoing, desired start August 2018
-* Date posted: February 9, 2018
-* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]
-'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' <br/>
+Applicants should send a detailed CV, including a list of publications, a covering letter indicating their expertise for this project and the names of three referees, to Professor Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk).
-(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)
-The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
+Interviews will be held during the first week of April 2020, with the aim of starting the project as soon as possible.
-The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).
+'''Salary''': ~6M yen to 9M yen per year (£43K to £65K), depending on experience.
-The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.
+'''Duration of posts''': 3 years.
-The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.
+== Postdoc in Computational Neurolinguistics, University of Georgia (USA) ==
+* Employer: Department of Linguistics, University of Georgia, Athens GA USA
+* Specialty: Natural Language Processing, Human Neuroimaging, Cognitive Science
+* Location: Athens, Georgia USA
+* Deadline: open until filled
+* Contact: [https://linguistics.uga.edu/directory/people/john-hale John Hale]
+* Date posted: March 2nd 2020
+* Start Date: August 1st 2020
-'''Required'''
+Duties include using tools and techniques from computational linguistics to analyze neural signals across languages. The successful candidate will work closely with partners in [https://sites.lsa.umich.edu/cnllab/ Michigan], at [http://www.paris-neuroscience.fr/en/centre-de-recherche/neurospin Neurospin], [https://www.inria.fr/en/centre/paris INRIA] and the [https://www.cbs.mpg.de/en MPI]. Apply at [https://www.ugajobsearch.com/postings/83958 https://www.ugajobsearch.com/postings/83958]
-* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
-* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
-* Evidence of a strong publication record in the aforementioned areas
-'''Desired'''
+== Postdoctoral Researcher in NLP for healthcare, Vrije Universiteit Brussel (VUB) - imec, Belgium  ==
-* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling
-'''Job Details'''
+* Employer: [http://www.etrovub.be Electronics and Informatics (ETRO)],  at Vrije Universiteit Brussel (VUB) - [https://www.imec-int.com/en/home imec], Belgium
-* One year initial position with possible extension to a second and third year based on performance and availability of funds
+* Title: Postdoctoral Researcher in NLP for healthcare
-* Desired start date is August 2018. However, start date is negotiable
+* Specialty: NLP, Machine Learning
-* Competitive salary with benefits commensurate with qualifications
+* Location: Brussels
+* Deadline: March 29, 2020
+* Date posted: February 25, 2020
+* Contact: [mailto:ndeligia@etrovub.be ndeligia@etrovub.be]
-'''How to Apply''' <br/>
+The department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and imec in Belgium offers a postdoctoral position in NLP and machine learning.
-Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications '''as a single PDF''' document named '''FirstNameLastName.pdf'''.
-Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references
+'''Description of the project:'''<br>
+The successful candidate will work within the frame of a project, funded by the Brussels government, on NLP for healthcare. The project will acquire data from one of the largest hospitals in Brussels (UZ Brussels) and its aim is to perform automated clinical coding and nosocomial outbreak detection. To do so, two important aspects will be investigated: (i) multilingual NLP techniques and (ii) interpretation of NLP models to address tasks such as extreme classification and real-time prediction.
-'''About the University of Colorado and the City of Boulder'''<br/>
+'''Responsibilities:'''<br>
-The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.
+•	Design and implement innovative algorithms within the aforementioned project, <br>
+•	Publish the results at top-tier venues in NLP (e.g., ACL) and machine learning (e.g., ICLR), and<br>
+•	Supervise junior researchers and support in teaching.
-The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.
+'''Profile and requirements:'''<br>
+•	A PhD degree focusing on artificial intelligence, machine learning, and natural language processing or related;<br>
+•	An excellent academic record with publications in top-tier scientific journals (e.g., TACL) and conference proceedings (e.g., ACL, EMNLP, AAAI);<br>
+•	Proven programming experience (e.g., Python, C++);<br>
+•	Fluency in state-of-the-art machine learning frameworks (e.g., Tensorflow, PyTorch);<br>
+•	Fluency in English and excellent scientific writing and presentation skills;<br>
+•	Ability and will to support teaching and to (co-)supervise bachelor, master and PhD students.
-'''Special Instructions to Applicants''' <br/>
+'''What we offer:'''<br>
-The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.
+•	A two-year position which upon positive evaluation can be further extended;<br>
+•	A competitive salary (including holiday allowance) and benefits,<br>
-The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].
+•	An international scientific environment driven by excellence in fundamental research,<br>
+•	Opportunities for travelling to conferences and research visits to international partner research groups (e.g., at Duke University, UCL)
+'''How to apply:'''<br>
+Interested candidates should send:
+•	a detailed curriculum vitae, <br>
+•	a motivation letter related to the position’s profile,<br>
+•	electronic copies of three key scientific publications, and<br>
+•	the names of two potential referees
-== Full-time Researchers, IBM Research - Almaden ==
+to the following contact person: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikolaos Deligiannis] via email at [mailto:ndeligia@etrovub.be ndeligia@etrovub.be] by March 29, 2020.
-* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]
-* Title: Research Staff Member
-* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
-* Location: San Jose, California, USA
-* Deadline: June 1, 2018
-* Date posted: January 31, 2018
-* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
+'''About the team:'''<br>
+The position is within Big Data team at the Department of Electronics and Informatics  at Vrije Universiteit Brussel, Belgium. The team is also affiliated with imec, an international R&D and innovation hub in nanoelectronics and digital technologies.
-IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources.  Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.
-Such a platform needs to support the entire life cycle for knowledge engineering including:
+== Permanent research position in language technology at the Norwegian Computing Center, Oslo, Norway ==
-* Creation, maintenance and evolution of domain schema to capture domain concepts of interest
-* Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
-* Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
-* Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
-* Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
-* Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for  discovery and ad-hoc NLQ driven interfaces
-* Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions
-The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.
+* Employer: [https://www.nr.no Norwegian Computing Center (NR)], Oslo, Norway
-* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
+* Title: Research Scientist
-* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
+* Specialty: Language Technology, NLP, Machine Learning
-* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
+* Location: Oslo, Norway
+* Deadline: February 23, 2020
+* Date posted: February 1, 2020
+* Contact: [mailto:pierre.lison@nr.no pierre.lison@nr.no]
-The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
-We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning.  You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.
+We have a vacancy for a permanent research position in language technology at the Norwegian Computing Center (NR) in Oslo, Norway. We seek candidates with broad expertise in the field of NLP and the ability to work on different types of R&D projects. The position will be associated with the SAMBA research department, which currently has 45 researchers.
-'''Required'''
+The researcher will be expected to participate in several research projects. In particular, we have recently initiated a large interdisciplinary research project on anonymization of textual data in collaboration with legal scholars, data security experts and researchers in health informatics. We also conduct research on spoken dialogue systems, human-robot interaction, multilingual language resources and information extraction on large amounts of texts. We also work closely with the University of Oslo, and many of our research projects are carried out in collaboration with various research groups in Norway and internationally.
-* Bachelor's degree or equivalent  in Computer Science, related technical field or equivalent practical experience.
-* Programming experience in one or more of the following: Java, C, C++ and/or Python.
-* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
-* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.
-'''Preferred'''
+You must be interested in applied research in language technology and machine learning. The applicant must hold a doctorate in language technology or computational linguistics, or a master degree combined several years of research experience. In addition, you must have good programming skills and the ability to work both independently and in teams.
-* PhD in Computer Science, related technical field or equivalent practical experience.
-* Relevant work experience, including experience working within the industry or as a researcher in a lab.
-* Ability to design and execute on research agenda.
-* Strong publication record.
+Applicants must be fluent in English, both verbally and in writing. Knowledge of Norwegian or another Scandinavian language is an advantage, as several of our research projects focus on Norwegian text data. Experience in securing funding for R&D projects is also appreciated.
-== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==
+For more information, please visit [https://www.finn.no/job/fulltime/ad.html?finnkode=169049472 the application website] (in Norwegian).
-* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
+'''We offer''':<br>
-* Title: Doctoral researcher
+We offer a 100% permanent position, good salary conditions, pension and insurance schemes, flexible working hours, 5 weeks of holiday in addition to paid leave during Christmas and Easter, and our own staff canteen. Good training and development opportunities in an inspiring work environment together with colleagues in language technology, machine learning, statistical modelling and image analysis.
-* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
-* Location: Darmstadt or Heidelberg
-* Deadline: February 11, 2018
-* Date posted: January 21, 2018
-* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]
-PhD positions in DFG Graduate School AIPHES: Natural Language
+The Norwegian Computing Center is located in Kristen Nygaard's house at the Research Park at Blindern in Oslo. Negotiable starting date. We look forward to hearing from you.
-Processing and Computational Linguistics
-The Research Training Group [http://www.aiphes.tu-darmstadt.de/ “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in
+'''About us''':<br>
-at Technische Universität Darmstadt and at Ruprecht Karls
+Norsk Regnesentral (NR) is an independent, non-profit and non-profit private foundation that conducts contract research for business and public enterprises both in Norway and internationally. Our core research areas are statistical modelling, machine learning, artificial intelligence and ICT. Our clients are business and public administration, the EU and the Research Council of Norway.
-University Heidelberg is filling several positions for three years,
-starting as soon as possible. Positions remain open until filled.
-The positions provide the opportunity to obtain a doctoral degree in
+The institute has 85 employees and is one of Europe's largest research institute within applied statistics. Major applications are petroleum, finance and insurance, earth observation, climate and environment, fisheries and aquaculture, health, image analysis and artificial intelligence. Research in ICT include cybersecurity, smart sensors, e-inclusion and universal design.
-the research area of the training group with an emphasis, e.g., in
-opinion and sentiment - extrapropositional aspects of discourse, in
-natural language processing tasks such as structured summaries of
-complex contents, in content selection and classification enhanced by
-reasoning, or a related area. The group will be located in Darmstadt
-and Heidelberg. The funding follows the guidelines of the DFG, and the
-positions are paid according to the E13 public service pay scale.
-The goal of AIPHES is to conduct innovative research in knowledge
-acquisition on the Web in a cross-disciplinary context. To that end,
-methods in computational linguistics, natural language processing,
-machine learning, network analysis, computer vision, and automated
-quality assessment will be developed. AIPHES will investigate a novel,
-complex scenario for information preparation from heterogeneous
-sources. It interacts closely with end users who prepare textual
-documents in an online editorial office, and who should therefore
-profit from the results of AIPHES. In-depth knowledge in one of the
-above areas is desirable but not a prerequisite.
-Participating research groups at Technische Universität Darmstadt are
+== PostDoc or PhD in Secure and Robust Natural Language Processing, UKP Lab, Computer Science Department, TU Darmstadt ==
-Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
+* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
-Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual
+* Title: Associate Research Scientist
-Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at
+* Specialty: NLP, Machine Learning, Text Mining
-Ruprecht Karls University Heidelberg are the Institute for
+* Location: Darmstadt
-Computational Linguistics (Prof. Frank) and the Natural Language
+* Deadline: February 10, 2020
-Processing Group (Prof. Strube) of the Heidelberg Institute for
+* Date posted: January 20, 2020
-Theoretical Studies (HITS).
+* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
-AIPHES emphasizes close contact between the students and their
+UKP Lab of the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
-advisors with regular joint meetings, a co-supervision by professors
-and younger scientists in the research groups, and an intensive
-exchange as part of the research and qualification program. The
-training group has the goal of publishing its results at leading
-scientific conferences and will actively support its doctoral
-researchers in this endeavor. The software that will be developed in
-the course of AIPHES should be put under the open source Apache
-Software License 2.0 if possible. Moreover, the research papers and
-datasets should be published with open access models.
+Associate Research Scientist "Secure and Robust NLP"
+(PostDoc- or PhD-level; for an initial term until the end of 2021)
-'''Prerequisites'''
+as part of the National Research Center for Applied Cybersecurity ATHENE [1]. We are part of the research mission "SenPAI-Security and Privacy in AI". While AI becomes more common as a tool for various security applications where data must be analysed, clustered or attributed, the security of the applied AI algorithms is often limited. Various research results in the past years show shortcomings of trained neural nets (NN) like the lack of robustness against targeted attacks. The focus of our contribution to SenPAI is in (i) An automatic penetration testing system for NLP: A modular toolkit with common strategies to attack NLP models. This toolkit allows the wide-spread evaluation of state-of-the-art and in-production NLP systems; and (ii) Robust training objectives for NLP systems: State-of-the-art learning systems are equipped with the automatic attack toolkit in order to generate more robust NLP models. The goal is to have NLP models which are robust against new, unseen attacks and which require a higher effort to bypass them.
-We are looking for exceptionally qualified candidates with a degree in
+For this project, we are looking to hire a PostDoc or a PhD student with both a strong background in Natural Language Processing and a strong interest to contribute to applied security. We plan to cooperate with Fraunhofer SIT in Darmstadt and several other machine learning labs involved in SenPAI. The UKP Lab is a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, security and AI for Social Good in general.
-Computer Science, Computational Linguistics, or a related study
-program. We expect ability to work independently, personal commitment,
-team and communication abilities, as well as the willingness to
-cooperate in a multi-disciplinary team. Desirable is experience in
-scientific work. Applicants should be willing to work with
-German-language texts, and, if necessary, to acquire German language
-skills during the training program. We specifically invite
-applications of women. Among those equally qualified, handicapped
-applicants will receive preferential consideration. International
-applications are particularly encouraged.
-The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly
+We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interest in secure and robust NLP. Prior experience with neural network architectures, security-related applications and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
-ranked among the top ones in respective rankings of German
-universities. [http://www.cl.uni-heidelberg.de/ The Institute for Computational Linguistics (ICL)] of the
-Ruprecht Karls University Heidelberg is one of the largest centers
-for computational linguistics both in Germany and internationally. The
-ICL and the NLP department of the HITS jointly run the graduate
-program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training
-group “Coherence in language processing: Semantics beyond the
-sentence”, which has a close connection to the topics in computational
-linguistics of AIPHES.
-Applications should include a motivational letter that refers to one
+UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
-or two of the planned research areas of AIPHES, a CV with
+The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
-information about the applicant’s scientific work, certifications of
+The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
-study and work experience, as well as a thesis or other publications
+Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
-in
+UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
-electronic form. Application materials must be submitted via the
+The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.
-following form by February 11th, 2018:
-https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/
+To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.
-In addition, applicants should be prepared to solve a programming and
+[1] [https://www.athene-center.de/en/ https://www.athene-center.de/en/]
-a reviewing task in the first two weeks after their application.
-== Associate Research Scientist, UKP Lab, TU Darmstadt ==
+== PhD or PostDoc in Natural Language Processing for the Social Good, Computer Science Department, TU Darmstadt ==
 * Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 * Title: Associate Research Scientist
-* Specialty: Interactive text analysis
+* Specialty: NLP, Machine Learning, Text Mining
 * Location: Darmstadt
-* Deadline: February 16, 2018
+* Deadline: February 10, 2020
-* Date posted: January 21, 2018
+* Date posted: January 20, 2020
 * Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
-The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
+The Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an
-Computer Science, Technische Universität (TU) Darmstadt, Germany has
-an opening for an
-Associate Research Scientist
+Associate Research Scientist "NLP for the Social Good"
-(PostDoc- or PhD-level; for an initial term of two years)
+(PhD- or PostDoc-level; for an initial term until the end of 2022)
-in the areas of Interactive Text Analysis, the UKP Lab is looking for
+We are building a research profile in "Content Analytics for the Social Good" in close collaboration with multiple Machine Learning and Data Science labs as well as Social Science labs at the universities of Frankfurt and Mainz. To stregthen this profile, we are looking to hire a PhD student or a PostDoc with both a strong background in Natural Language Processing and a genuine interest to contribute to the Social Good, i.e. conduct research with decidedly positive impact on our society. Examples include privacy-aware NLP and large-scale text analysis to promote and enhance corporate social responsibility, public-policy making, or user empowerment under uncertainty. We specifically envisage cooperations with law and economics researchers and cutting-edge NLP research in low-resource scenarios.
-a researcher with a background in Natural Language Processing and
-Software Development to work on the project [https://www.ukp.tu-darmstadt.de/research/current-projects/inception/ INCEpTION] funded by
-the German Research Foundation (DFG). The project is developing a
-comprehensive interactive text analysis platform to improve efficiency
-and to enable new ways of exploring, annotating and analyzing
-large-scale text corpora through the use of assistive features based
-on machine-learning.
-We ask for applications from candidates from Computer Science with a
+The position is situated in a larger research environment of the UKP Lab as a high-profile research group comprising over thirty team members who work on various aspects of data-driven NLP and machine learning. Their novel applications in various domains extend to mining scientific literature or social media, and AI for Social Good in general. We have recently hired several postdocs to build a focus on NLP for the Social Good. The immediate supervision for the advertised position will be provided by Dr. Ivan Habernal. The strategic long-term advice will be given by Prof. Iryna Gurevych.
-specialization in Natural Language Processing, Text Mining, or Machine
-Learning, preferably with expertise in research and development
-projects, and strong communication skills. The successful applicant
-will work on research and development activities regarding text
-annotation by end-users (researchers, analysts, etc.), information
-recommendation,  and create the corresponding text analysis platform.
-Ideally, the candidates should have demonstrable experience in
-designing complex (NLP and/or ML) systems (frontend and backend), in
-applying NLP-related Machine Learning-based methods, and strong
-programming skills especially in Java. Experience with neural network
-architectures and demonstrable engagement in open source projects are
-strong pluses.
-The UKP Lab is a research group comprising over 30 team members who
+We ask for applications from candidates in Computer Science with a specialization in Machine Learning, Natural Language Processing or Text Mining and strong interdisciplinary interest in Computational Social Science. Prior experience with neural network architectures, corpus development and other relevant areas of NLP and Machine Learning is a plus. Demonstrable engagement in open source projects, strong programming skills and communication skills in English are highly appreciated.
-work on various aspects of Natural Language Processing (NLP), with a
-rapidly developing focus on Interactive Machine Learning and who
-provide a range of high-quality open source software packages for
-interactive and automatic text analysis to research and industry
-communities.
-UKP’s wide cooperation network both within its own research community
+UKP Lab (cf. [https://www.informatik.tu-darmstadt.de https://www.informatik.tu-darmstadt.de]) provides a highly agile, diverse and supportive research environment.
-and with partners from research and industry provides an excellent
+The lab has a wide cooperation network with both leading academic and industrial professionals in NLP and Machine Learning.
-work environment. The Department of Computer Science of TU Darmstadt
+The Department of Computer Science of the TU Darmstadt is regularly ranked among the top ones in respective rankings of the German universities.
-is regularly ranked among the top ones in respective rankings of
+Its unique profile around AI (cf. [https://www.ai-da.tu-darmstadt.de https://www.ai-da.tu-darmstadt.de]) and information processing (cf. [https://www.informatik.tu-darmstadt.de/aiphes https://www.informatik.tu-darmstadt.de/aiphes]) emphasizes NLP, machine learning, and and their great potential for the industry and society at large.
-German universities. Its Research Training Group “Adaptive Information
+UKP Lab is committed to cutting-edge research, publishing in top-tier venues, cooperative work style and close interaction of all team members.
-Processing of Heterogeneous Content” (AIPHES) funded by the DFG
+The selected candidates enjoy numerous opportunities for professional growth, leading to successful faculty careers or exciting industrial employments.
-emphasizes NLP, machine learning, text mining, as well as scalable
-infrastructures for the assessment and aggregation of knowledge. UKP
+To apply, please provide a detailed CV, a motivation letter and an outline of previous work or research experience along with the names of up to three referees (if available). Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by February 10th, 2020: [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment]. Applications arriving after the deadline will still be considered until the position is filled.
-Lab is a highly dynamic research group committed to high-quality
-research results, technologies of the highest standards, cooperative
-work style and close interaction of team members.
-Applications should include a detailed CV, a motivation letter and an
+== NLP Research Internship at Adobe Research, San Jose, California ==
-outline of previous working or research experience (if available).
+*Employer: Adobe Research
+*Title: Research Scientist Intern
+*Speciality: NLP, search, dialog, joint NLP+computer vision
+*Location: San Jose, CA, USA
+*Deadline: Applications will be accepted until the position is filled.
+*Date posted: January 7, 2020
+*Contact: Franck Dernoncourt <[mailto:franck.dernoncourt@adobe.com franck.dernoncourt@adobe.com]>
-Applications from women are particularly encouraged. All other things
+We are looking for PhD students with background in NLP, search, dialog, or joint NLP+computer vision for a spring/summer/autumn, ~13-week research internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile). You can view our NLP publications on https://research.adobe.com/publications/?a=natural-language-processing&y
-being equal, candidates with disabilities will be given preference.
-Please send the applications to:
-[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 16.2.2018. The positions
-are open until filled. Later applications may be considered if the
-position is still open.