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Employment opportunities, postdoctoral positions, summer jobs

2021-09-30T16:20:51Z

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== 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]

More info and application link [https://www.jobs.ethz.ch/job/view/JOPG_ethz_uMFPVamrxcNbqaUscW here].

== 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]

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 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 [mailto:acl-jobs@sfs.uni-tuebingen.de 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.

== Research Internships on Responsible AI at ByteDance AI Lab (Remote within Europe) - Immediate Start ==
* Employer: [https://en.wikipedia.org/wiki/ByteDance ByteDance]
* Title: Research Intern
* Specialty: Responsible AI (Machine Learning Fairness etc.)
* Location: Remote within Europe
* Deadline: When the [https://careers.tiktok.com/position/7002681702675220766/detail job posting] is no longer live
* Date posted: September 14th, 2021
* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]

'''Background'''

Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Lark, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages.

Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of Responsible AI. We are looking for PhD student interns who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.

Please note that this role is to start immediately, not in 2022.

'''Responsibilities'''

* Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy);
* Carry out design and analysis of ethical machine learning algorithms, and apply them to recommendation, search, CV, NLP and other products;
* Work closely with other researchers in the global MLF team;
* Publish research results in prestigious conferences and journals, or file patents.

'''Qualifications'''

* Currently in the process of obtaining a PhD degree in the relevant field (including but not limited to machine learning, data mining, information retrieval, natural language processing, computer vision, and statistics)
* In-depth understanding of machine learning;
* Solid mathematical background and coding ability;
* Publications at top theoretical/applied machine learning conferences (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.

'''How to Apply'''

For further details and to apply, please follow the link of the [https://careers.tiktok.com/position/7002681702675220766/detail job posting].

== 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]

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 [https://www.essex.ac.uk/postgraduate/research/opportunities/computer-science-and-electronic-engineering-studentships link]

== Research Scientist on Responsible AI at ByteDance AI Lab, London, UK ==
* Employer: [https://en.wikipedia.org/wiki/ByteDance ByteDance]
* Title: Research Scientist
* Specialty: Responsible AI (Machine Learning Fairness etc.)
* Location: London, UK
* Deadline: When the [https://jobs.bytedance.com/en/position/6984021394845927717/detail job posting] is no longer live
* Date posted: August 18th, 2021
* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]

'''Background'''

Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Lark, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages.

Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of Responsible AI. We are looking for machine learning researchers who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.

'''Responsibilities'''

* Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy);
* Carry out design and analysis of ethical machine learning algorithms, and apply them to recommendation, search, CV, NLP and other products;
* Collaborate with experts in the related fields from academia/industry, and supervise PhD student interns;
* Publish research results in prestigious conferences and journals, or file patents.

'''Qualifications'''

* Researchers or PhD graduates in machine learning and other related disciplines;
* In-depth understanding of machine learning with rich experiences in relevant fields;
* Solid mathematical background and coding ability;
* Publications at top theoretical/applied machine learning conferences (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.

'''How to Apply'''

For further details and to apply, please follow the link of the [https://jobs.bytedance.com/en/position/6984021394845927717/detail job posting].

== 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/, [mailto:ion@aueb.gr 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 [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 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:''' [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]

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: [mailto:Sophia.ananiadou@manchester.ac.uk 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: [mailto:hsheridan@albany.edu 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 [https://rfhr.interviewexchange.com/jobofferdetails.jsp?JOBID=129117 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: [mailto:lwehbe@cmu.edu 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 [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.

'''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: [mailto:schockaerts1@cardiff.ac.uk 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 [http://www.cardiff.ac.uk/jobs 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: [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]

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: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikos Deligiannis] via email at [mailto:ndeligia@etrovub.be 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: [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)

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 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 [https://www.in.tum.de/fileadmin/w00bws/legaltech/_my_direct_uploads/PhDPostDoc-Legaltech-TUM.pdf 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: [https://phs.weill.cornell.edu/ 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 [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.

'''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: [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]

== 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: [mailto:brian.croy@jpmchase.com 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: [mailto:brian.croy@jpmchase.com 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: [mailto:Sophia.ananiadou@manchester.ac.uk 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 [mailto:swulff@ufl.edu]

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: <[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.

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:

[https://www.unibocconi.eu/wps/wcm/connect/cc48e97d-616a-458c-a580-ee93f9b8b7b1/BANDO+ADR+BIDSA+ing.pdf?MOD=AJPERES&CVID=nrr-hFS Job ad]

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.

== 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 [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 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 <[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])

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: [mailto:Sophia.ananiadou@manchester.ac.uk 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: [mailto:acl-jobs@sfs.uni-tuebingen.de 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:

[mailto:acl-jobs@sfs.uni-tuebingen.de 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: [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'''

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, [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).

== 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]

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: [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: August 15, 2020
* Date posted: July 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 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: [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]

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

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!

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 [https://jobbnorge.no/en/available-jobs/job/190408/phd-research-fellow-in-natural-language-processing].

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 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: [mailto:tristan.miller@ofai.at 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, [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)

'''Multiple PhD positions'''

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].

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 [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].

== 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)

'''Postdoctoral position'''

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].

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 [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].

== 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: [mailto:ld@itu.dk 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: [https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181159&DepartmentId=3439&MediaId=5]

== 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

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: [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.

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: [https://linguistics.uga.edu/directory/people/john-hale 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 [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]

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

* 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: March 29, 2020
* Date posted: February 25, 2020
* Contact: [mailto:ndeligia@etrovub.be 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: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikolaos Deligiannis] via email at [mailto:ndeligia@etrovub.be 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: [https://www.nr.no 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: [mailto:pierre.lison@nr.no 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 [https://www.finn.no/job/fulltime/ad.html?finnkode=169049472 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: [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]

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 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.

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/]

== 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: 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

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 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.

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.

== 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 <[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

Employment opportunities, postdoctoral positions, summer jobs

2021-09-30T16:20:18Z

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== 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]

More info and application link [here https://www.jobs.ethz.ch/job/view/JOPG_ethz_uMFPVamrxcNbqaUscW].

== 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]

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 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 [mailto:acl-jobs@sfs.uni-tuebingen.de 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.

== Research Internships on Responsible AI at ByteDance AI Lab (Remote within Europe) - Immediate Start ==
* Employer: [https://en.wikipedia.org/wiki/ByteDance ByteDance]
* Title: Research Intern
* Specialty: Responsible AI (Machine Learning Fairness etc.)
* Location: Remote within Europe
* Deadline: When the [https://careers.tiktok.com/position/7002681702675220766/detail job posting] is no longer live
* Date posted: September 14th, 2021
* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]

'''Background'''

Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Lark, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages.

Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of Responsible AI. We are looking for PhD student interns who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.

Please note that this role is to start immediately, not in 2022.

'''Responsibilities'''

* Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy);
* Carry out design and analysis of ethical machine learning algorithms, and apply them to recommendation, search, CV, NLP and other products;
* Work closely with other researchers in the global MLF team;
* Publish research results in prestigious conferences and journals, or file patents.

'''Qualifications'''

* Currently in the process of obtaining a PhD degree in the relevant field (including but not limited to machine learning, data mining, information retrieval, natural language processing, computer vision, and statistics)
* In-depth understanding of machine learning;
* Solid mathematical background and coding ability;
* Publications at top theoretical/applied machine learning conferences (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.

'''How to Apply'''

For further details and to apply, please follow the link of the [https://careers.tiktok.com/position/7002681702675220766/detail job posting].

== 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]

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 [https://www.essex.ac.uk/postgraduate/research/opportunities/computer-science-and-electronic-engineering-studentships link]

== Research Scientist on Responsible AI at ByteDance AI Lab, London, UK ==
* Employer: [https://en.wikipedia.org/wiki/ByteDance ByteDance]
* Title: Research Scientist
* Specialty: Responsible AI (Machine Learning Fairness etc.)
* Location: London, UK
* Deadline: When the [https://jobs.bytedance.com/en/position/6984021394845927717/detail job posting] is no longer live
* Date posted: August 18th, 2021
* Contact for more info: [mailto:dell.z@ieee.org Dell Zhang]

'''Background'''

Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures and geographies. With a suite of more than a dozen products, including TikTok, Douyin, Toutiao, Lark, Helo and Resso, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages.

Our new MLF (Machine Learning Fairness) team based in the TikTok London office is dedicated to building a technology center to provide technical support for all ByteDance products from the perspectives of Responsible AI. We are looking for machine learning researchers who have solid technical skills while being passionate about pursuing excellence in machine learning fairness and related areas.

'''Responsibilities'''

* Conduct research and development of technologies on machine learning fairness and more generally AI ethics (including but not limited to machine learning explainability, robustness, and privacy);
* Carry out design and analysis of ethical machine learning algorithms, and apply them to recommendation, search, CV, NLP and other products;
* Collaborate with experts in the related fields from academia/industry, and supervise PhD student interns;
* Publish research results in prestigious conferences and journals, or file patents.

'''Qualifications'''

* Researchers or PhD graduates in machine learning and other related disciplines;
* In-depth understanding of machine learning with rich experiences in relevant fields;
* Solid mathematical background and coding ability;
* Publications at top theoretical/applied machine learning conferences (e.g. ICML, NeurIPS, ICLR, SIGIR, WWW, WSDM, KDD, and FAccT) would be a big plus.

'''How to Apply'''

For further details and to apply, please follow the link of the [https://jobs.bytedance.com/en/position/6984021394845927717/detail job posting].

== 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/, [mailto:ion@aueb.gr 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 [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 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:''' [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]

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: [mailto:Sophia.ananiadou@manchester.ac.uk 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: [mailto:hsheridan@albany.edu 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 [https://rfhr.interviewexchange.com/jobofferdetails.jsp?JOBID=129117 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: [mailto:lwehbe@cmu.edu 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 [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.

'''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: [mailto:schockaerts1@cardiff.ac.uk 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 [http://www.cardiff.ac.uk/jobs 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: [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]

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: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikos Deligiannis] via email at [mailto:ndeligia@etrovub.be 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: [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)

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 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 [https://www.in.tum.de/fileadmin/w00bws/legaltech/_my_direct_uploads/PhDPostDoc-Legaltech-TUM.pdf 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: [https://phs.weill.cornell.edu/ 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 [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.

'''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: [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]

== 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: [mailto:brian.croy@jpmchase.com 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: [mailto:brian.croy@jpmchase.com 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: [mailto:Sophia.ananiadou@manchester.ac.uk 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 [mailto:swulff@ufl.edu]

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: <[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.

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:

[https://www.unibocconi.eu/wps/wcm/connect/cc48e97d-616a-458c-a580-ee93f9b8b7b1/BANDO+ADR+BIDSA+ing.pdf?MOD=AJPERES&CVID=nrr-hFS Job ad]

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.

== 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 [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 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 <[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])

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: [mailto:Sophia.ananiadou@manchester.ac.uk 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: [mailto:acl-jobs@sfs.uni-tuebingen.de 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:

[mailto:acl-jobs@sfs.uni-tuebingen.de 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: [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'''

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, [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).

== 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]

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: [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: August 15, 2020
* Date posted: July 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 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: [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]

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

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!

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 [https://jobbnorge.no/en/available-jobs/job/190408/phd-research-fellow-in-natural-language-processing].

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 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: [mailto:tristan.miller@ofai.at 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, [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)

'''Multiple PhD positions'''

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].

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 [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].

== 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)

'''Postdoctoral position'''

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].

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 [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].

== 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: [mailto:ld@itu.dk 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: [https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181159&DepartmentId=3439&MediaId=5]

== 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

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: [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.

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: [https://linguistics.uga.edu/directory/people/john-hale 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 [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]

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

* 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: March 29, 2020
* Date posted: February 25, 2020
* Contact: [mailto:ndeligia@etrovub.be 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: [http://homepages.vub.ac.be/~ndeligia/ Prof. Dr. Nikolaos Deligiannis] via email at [mailto:ndeligia@etrovub.be 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: [https://www.nr.no 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: [mailto:pierre.lison@nr.no 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 [https://www.finn.no/job/fulltime/ad.html?finnkode=169049472 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: [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]

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 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.

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/]

== 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: 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

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 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.

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.

== 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 <[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

Employment opportunities, postdoctoral positions, summer jobs

2017-12-20T21:21:19Z

Eash: /* Post-Doctoral Position: Law, Economics, & Data Science, ETH Zurich */

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== Post-Doctoral Position: Law, Economics, & Data Science, ETH Zurich ==

*Employer: Center for Law & Economics, ETH Zurich
*Title: Post-Doctoral Research Fellow
*Location: Zurich, Switzerland
*Deadline: Application review begins Feb 1st 2018; open until filled
*Date Posted: December 20, 2017
*Contact: Elliott Ash ([mailto:e@elliottash.com e@elliottash.com])

'''Description:''' Applications are invited for postdoctoral research position in a new interdisciplinary research group at Center for Law & Economics, ETH Zurich. The research group in Law, Economics, and Data Science focuses on representing legal and political language as statistical data using tools from natural language processing, and then recovering causal relations between language and outcomes in society and the economy. The postdoc will be involved in all aspects of the research, including project planning, research design, data analysis, presentation of findings at conferences, and preparation of manuscripts for submission to leading peer-reviewed journals. The postdoc will have the opportunity to co-author papers with lab colleagues, work with an array of affiliated faculty from ETH and University of Zurich, and develop independent projects related to these research areas. Organizational and teaching duties are limited to a few hours per week. Our offices are located in downtown Zurich, and the working language is English. The appointment will be for at least one year and up to three years (contingent on satisfactory performance), with flexible starting date beginning July 2018. Salaries are internationally competitive, paid according to ETH standards (https://www.ethz.ch/en/the-eth-zurich/working-teaching-and-research/working-conditions/employment-and-salary.html).

'''Qualifications:''' Applicants should have a PhD in computer science, computational linguistics, machine learning, or a related field. Applicants should have graduate-level expertise in natural language processing and machine learning. Excellent English writing skills are essential.

'''How to Apply:''' Online application available at https://apply.refline.ch/845721/5895/index.html?cid=1&lang=en. Application review will begin on February 1, 2018 and continue until the position is filled.

== Post-Doctoral Researcher in Computational Linguistics, University of Pennsylvania ==

*Employer: Department of Computer and Information Science, University of Pennsylvania
*Title: Post-Doctoral Research Fellow
*Location: Philadelphia, PA
*Deadline: Open until filled
*Date Posted:December 17, 2017
*Contact Mitch Marcus (mitch@cis.upenn.edu)

'''Description:''' Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 18 months, starting immediately.

The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years. Our project is also inspired by the current understanding of how children acquire their native language, in an unsupervised setting and with relatively small amount of data. We intend to shamelessly exploit them all.

The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.

'''Qualifications:''' The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.

'''How to Apply:''' Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided below.

==Professor in Computational linguistics at the Linguistics Department, The Graduate Center, CUNY ==
* Employer: The Graduate Center, CUNY
* Rank or Title: Assistant / Associate / Full Professor: Rank Open
* Specialty: Computational Linguistics (see below)
* Location: New York, NY, USA
* Deadline: Open until filled
* Date Posted: 23-0ct-2017

'''Detailed Job Description:''' 

The PhD/MA Program in Linguistics (www.gc.cuny.edu/linguistics) at the Graduate Center of
the City University of New York invites applications for a full-time, tenure-track, open-rank
(untenured Assistant Professor to tenured Full Professor) position to begin Fall 2018.
The Program is an exciting opportunity for applicants with an independent research record in
computational linguistics. Applications should demonstrate exceptionally strong computational
expertise. We are looking for excellent researchers working on models of language that
connect computational linguistics and theoretical approaches to human language.
The successful candidate should also have knowledge of several areas of applied natural
language processing to the extent that they can teach graduate level courses in NLP and mentor
students outside of their specific research area. Integration of applied NLP into the candidate’s
research agenda would be welcome.

The successful candidate will become actively involved in teaching, developing and adapting
graduate curricula, and advising MA and PhD students. He or she will also have day-to- day
administrative responsibilities within the Computational Linguistics track in the Program.
We offer two graduate degrees specializing in computational linguistics, a 32-credit MA and a
PhD. Designed as “one-of- a-kind” computational linguistics programs in the NYC area, they
cater to both students with little or no computational background, as well as to students with
undergraduate or industry experience in computer science or related language technologies.
Certain courses are offered to Linguistics students only, but several are cross-listed with the
PhD Program in Computer Science. Accordingly, demonstrated ability to teach successfully to
both demographics of students is required.

The ability to work in collaboration with The Graduate Center and the City University of New
York to create opportunities and employment pipelines for our graduate students would be an
important asset.

'''About the Graduate Center:''' 

The Graduate Center (GC) is the principal doctorate-granting institution of the City University of
New York (CUNY). Offering more than thirty doctoral degrees from Anthropology to Urban
Education, and fostering globally significant research in a wide variety of centers and institutes,
the GC provides academic training in the humanities, sciences, and social sciences. The
Graduate Center is also integral to the intellectual and cultural vitality of New York City.
Through its extensive public programs, The Graduate Center hosts a wide range of events -
lectures, conferences, book discussions, art exhibits, concerts, and dance and theater that enrich
and inform.

'''Qualifications:''' 

A PhD in Linguistics, Computational Linguistics, Computer Science (with a clear specialization in
language applications), or related area
Extensive research experience in computational linguistics, as demonstrated by publications in
peer-reviewed journals and conference proceedings
Ability to teach graduate courses and supervise MA theses and PhD dissertations

'''Other Qualifications:''' 

A secondary research profile in one or more of the following fields:
Language Technology, Machine Learning, Statistical Approaches to Language, Data Mining,
Corpus Analysis, Speech Processing.

'''How to apply''' 
Go to www.cuny.edu, click Employment>Search Job Postings, then type Keywords:
Computational Linguistics.

== Visiting Assistant Professor in Computational Linguistics and Language Science at RIT ==
* Employer: Rochester Institute of Technology
* Rank or Title: Visiting Assistant Professor in Computational Linguistics and Language Science
* Speciality: Computational linguistics and/or innovative technical or scientific methods in language science
* Location: Rochester, NY, USA
* Deadline: November 25, 2017 (Review of applications begins.)
* Date Posted: November 16, 2017
* Contact: Cissi Ovesdotter Alm (coagla@rit.edu) and [http://apptrkr.com/1116776 http://apptrkr.com/1116776]

'''Detailed Job Description:''' 

The Department of English invites applications for a Visiting Assistant Professor position, beginning in January 2018, with specialization in computational linguistics and/or innovative technical or scientific methods in language science at Rochester Institute of Technology (RIT), with a focus on one or more areas of application. Possible areas include:

* Deep learning for natural language understanding
* Speech and speech technology
* Multimodal and linguistic sensors
* Human-computer interaction
* Linguistic narrative analytics  

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on initiatives in artificial intelligence and in digital humanities and social sciences. The position has the possibility of extension beyond Spring 2018.  

The successful applicant will be a researcher and teacher with an agenda that emphasizes innovative technical methods in linguistics, for instance in natural language processing, linguistic/multimodal sensors, speech and speech technology, and/or other computational or technical approaches applied to language data. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork, student mentoring, and has a coherent plan for grant seeking activities. The right candidate will contribute to advancing our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students' global education experiences are additionally valued.  

The teaching assignment may be Introduction to Language Science, Language Technology, Introduction to NLP, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, self-designed courses, or another course depending on background.  

We are seeking an individual who has the ability and interest in contributing to a community committed to student-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 [http://www.rit.edu/academicaffairs/policiesmanual/p040 core values], [http://www.rit.edu/academicaffairs/policiesmanual/p030 honor code], and [http://www.rit.edu/academicaffairs/policiesmanual/p050 statement of diversity].

  '''Department Description:''' 
 THE UNIVERSITY AND ROCHESTER COMMUNITY:  
RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT. Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 2,900 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by The Chronicle of Higher Education as one of the “Great Colleges to Work For” for four years. RIT is a National Science Foundation ADVANCE Institutional Transformation site. RIT is responsive to the needs of dual-career couples by our membership in the Upstate NY HERC.

  Rochester, situated between Lake Ontario and the Finger Lakes region, is the 51st largest metro area in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly 1.1 million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 18% African and Latin Americans and another 3% of international origin. It is also home to one of the largest deaf communities per capita in the U.S. Rochester ranks 4th for “Most Affordable City" by Forbes Magazine, and MSN selected Rochester as the “#1 Most Livable Bargain Market” (for real-estate). Kiplinger named Rochester one of the top five “Best City for Families.”  

'''Job Requirements:''' 
* Ph.D. with training in Computational Linguistics, Linguistics, or an allied field for language science, in hand prior to appointment date.
* Advanced graduate coursework in computational linguistics, including natural language and/or spoken language processing or technical methods in linguistics.
* Publication record and coherent plan for research and grant seeking activities.
* Evidence of outstanding teaching.
* 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://apptrkr.com/1116776 http://apptrkr.com/1116776]. Please submit your online application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:
* A research statement
* A teaching statement
* Copy of transcripts of graduate coursework
* A sample publication
* The names, addresses, and phone numbers for three references 
* [http://www.rit.edu/academicaffairs/policiesmanual/p050 Statement of diversity]

Questions regarding this position can be directed to the search committee chair-Dr. Cecilia Ovesdotter Alm at coagla@rit.edu.

 Review of applications will begin on November 25, 2017 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 [http://www.rit.edu/fa/humanresources/ RIT/TitleIX] or the U.S. Department of Education at [https://wdcrobcolp01.ed.gov/CFAPPS/OCR/contactus.cfm ED.Gov].

== Post-doctoral positions on interpretable vector space embeddings, Cardiff University, UK ==

* Employer: Cardiff University
* Title: Postdoctoral research associate
* Specialty: Knowledge graphs, conceptual spaces, vector space embeddings, statistical learning, neural networks
* Location: Cardiff, UK
* Deadline: 10 December 2017
* Date posted: 10 November 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk schockaerts1@cardiff.ac.uk]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of the ERC funded project FLEXILOG. The overall aims of this project are (i) to learn interpretable vector space embeddings (or conceptual spaces) from a variety of structured and unstructured information sources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

Specifically, the aim of these posts will be to contribute to one or more of the following:

* to develop methods for statistical reasoning from sparse relational data, which exploit vector space representations to impose cognitively inspired forms of regularization (e.g. the fact that concepts tend to correspond to convex regions).
* to develop methods for learning modular and interpretable vector space representations of events, which can be used to predict how events will impact the actors involved (and the entities related to them), as well as the likelihood of related future events.
* to evaluate these methods in applications such as zero-shot learning, textual entailment, reading comprehension, automated knowledge base completion, and entity retrieval.

Successful candidates are expected to have excellent programming skills, as well as a strong background in natural language processing, machine learning, or knowledge representation.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information''': 
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Post-doctoral position in deep learning for natural language understanding at Idiap, Switzerland ==

* Employer: [http://www.idiap.ch/ Idiap Research Institute], Martigny, Switzerland
* Title: PostDoc
* Specialty: deep learning for natural language understanding
* Location: Martigny, Switzerland
* Deadline: until position filled
* Date posted: November 8, 2017
* Contact: [mailto:james.henderson@idiap.ch james.henderson@idiap.ch]

The Idiap Research Institute seeks qualified candidates for a Postdoc position in the field of natural language understanding. The research will be conducted in the framework of EU H2020 and IARPA projects, in collaboration with international consortia.

The successful candidate will work with Dr. James Henderson (http://cui.unige.ch/~hendersj/) within the Natural Language Understanding group at Idiap, and have the opportunity to collaborate with other world-class researchers in machine learning, natural language processing and speech recognition at Idiap, their project partners, and nearby EPFL. The NLU group has expertise in representation learning and deep neural network structured prediction applied to syntactic/semantic parsing, semantic entailment, machine translation, information retrieval and other NLP tasks.

The research will investigate deep learning architectures for cross-lingual natural language understanding and indexing. The focus can include end-to-end integration with neural speech recognition, cross-lingual and compositional representation learning, low-resource training methods, machine translation, summarisation and cross-lingual information retrieval.

The ideal candidate should hold a PhD degree in computer science or a related field. She/he will have a background in natural language processing and/or machine learning, with strong programming skills and an excellent publication record. Familiarity with deep learning toolkits will be an advantage.

The Postdoc position is offered on a one-year basis with the possibility of renewal based on funding and performance, with a starting salary of 80,000 CHF/year. Exceptionally qualified candidates can also be considered for a longer-term Research Associate position. Starting date is immediate or to be negotiated. Applications will be considered until the position is filled.

Please apply online here:
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710223%27%7D

== Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation, DFKI, German Research Center for Artificial Intelligence, Germany ==

* Employer: [http://www.dfki.de/ Department of Language Technology], DFKI GmbH, Saarbrücken, Germany
* Title: Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation
* Specialty: machine learning and deep learning for machine translation
* Location: Saarbrücken
* Deadline: November 30, 2017
* Date posted: November 6, 2017
* Contact: [mailto:mlt-sek@dfki.de josef.van_genabith@dfki.de]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning for NLP with a focus on '''Deep Learning and Machine Translation'''. Depending on track record and experience, the position is available at the Junior/Researcher/Senior level.

'''Research responsibilities include''': 
* machine learning and deep learning for machine translation
* publication in top-tier conferences and journals
* software development and integration

'''General responsibilities include''': 
* basic research as well as industry funded applied research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements''': 
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning and deep learning as well as in MT and NLP
* Strong problem solving and programming skills, independent and creative thinking
* Strong team working and communication skills, as well as excellent command of written and oral English. Command of German or other languages will be helpful.

Successful applicants will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Starting date, duration, salary''': 
Preferred starting dates are early Spring 2018. The position is available for a duration of three years, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application''': 
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references.
Please send your electronic application (preferably in PDF format) and inquiries to the above address referring to job opening no. 97/17/JvG.

== Independent Research Group Leader, Department of Computer Science, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Department of Computer Science], Technische Universität Darmstadt, Germany
* Title: AIndependent Research Group Leader
* Specialty: Natural Language Processing for the Humanities
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* Contact: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]

Independent Research Group Leader "Natural Language Processing for the
Humanities", Technische Universität Darmstadt

The Department of Computer Science of Technische Universität Darmstadt
seeks to fill an Independent Research Group (IRG) Leader position for
the initial duration of four years. The program allows young
scientists to found their own research group. It is similar in spirit
to DFG's Emmy Noether Program. The focus of the Independent Research
Group will be on cutting-edge Natural Language Processing research
with its novel applications to support humanities research, e.g.
mining scientific literature, automatic discourse analysis, or
multimodal content classification to identify bias or tone
computationally. The goal of the position is to strengthen the rapidly
growing profile of the Department in Data Analytics at the
intersection of Natural Language Processing, Computer Vision, and
Machine Learning on the one side, and to further develop the connection
between Computer Science and the Humanities on the other side.

The IRG Leader will receive an opportunity to conduct independent
research and teaching, and the funding to hire a PhD student (similar
to assistant professors). Candidates must have completed their PhD in
Computer Science or related area, have an outstanding publication
record and demonstrate experience in working with the international
research community. Ideally they have held at least one postdoc
position at a university other than the one they obtained their PhD
degree from. The program offers competitive personal compensation and
access to resources. The IRG Leaders are employed by TU Darmstadt on
its own pay scale TV-TU Darmstadt. Applicants are selected based on
their credentials, references, and participation in a scientific
colloquium. We expect the ability to work independently, personal
commitment, team and communication abilities, as well as the
willingness to cooperate in a multi-disciplinary team. We specifically
invite applications of women. Among those equally qualified,
handicapped applicants will receive preferential consideration.
International applications are particularly encouraged.

The successful candidate will be given the opportunity to join the PI
team of the graduate school [https://www.aiphes.tu-darmstadt.de/ "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES)]. The project conducts innovative
research in a cross-disciplinary context. To that end, methods in
computational linguistics, natural language processing, machine
learning, network analysis, and automated quality assessment are
developed. AIPHES investigates a novel scenario for information
preparation from heterogeneous sources, within the application context
of multi-document summarization. There is close interaction 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 required.

The Department of Computer Science of TU Darmstadt is regularly ranked
among the top ones in respective rankings of German universities. Its
unique [https://www.cedifor.de/en/ "Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences" (CEDIFOR)] emphasizes natural language processing, text mining, machine learning, as well as
scalable infrastructures for assessment and aggregation of knowledge
applied to novel research problems from the Humanities domain.

Applications should be submitted to
https://public.ukp.informatik.tu-darmstadt.de/irgrecruitment/ by
November 24, 2017 and include a research and teaching statement along
with the CV, publication list, name of three academic references, and
further supporting documents. In case of questions, please contact
Prof. Dr. Iryna Gurevych: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]. The position is open until filled.

== PostDoc / Senior Researcher, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: PostDoc / Senior Researcher
* Specialty: NLP applications to humanities, social and educational sciences; multimodal analysis and large-scale knowledge extraction
* Location: Darmstadt
* Deadline: November 25, 2017
* Date posted: November 3, 2017
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a

PostDoc / Senior Researcher
(for an initial term of two years with an option for an extension)

to strengthen the group’s expertise in the area of Natural Language Processing with its novel applications to Humanities, Social and Educational Sciences with a focus on multimodal analysis and large-scale knowledge extraction. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP). The group has a strong research profile in computational linguistics, machine learning and text mining. Core research areas include semantic text analysis and resources with their applications in multimodal information processing, knowledge discovery, and discourse analysis. The lab closely cooperates with groups in machine learning, image analysis, and interactive data analytics of the Computer Science department and a large number of research labs worldwide.

We ask for applications from candidates in Computer Science with a specialization/PhD in Natural Language Processing or Text Mining, preferably with expertise in research and development projects and strong communication skills in English and German (optional). The successful applicant will work on research and development activities within the profile area described above and – based on the previous experience and qualification – will be given an opportunity to contribute to teaching courses, PhD student co-supervision, and project management activities.

Ideally, the candidates should have demonstrable experience in NLP research, designing and implementing complex (NLP and/or ML) systems, applying Machine Learning incl. neural networks to text processing (e.g. document classification, sequence classification, clustering, etc.), information retrieval and databases, scalable data processing, and strong programming skills in Python and/or Java.

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 Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning and text mining. UKP 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 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 the following form by November 25, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== 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: interactive text analysis, natural language processing infrastructure
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
Computer Science, Technische Universität (TU) Darmstadt, Germany has
an opening for an

'''Associate Research Scientist''' 
'''(PostDoc- or 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 Infrastructure. The UKP Lab
is a research group comprising over 30 team members who work on
various aspects of Natural Language Processing (NLP) with a rapidly
developing focus on Interactive Machine Learning, and who provide a
wide range of open source software packages for interactive and
automatic text analysis to research and industry communities.

We ask for applications from candidates in Computer Science with a
specialization in Natural Language Processing or Text Mining,
preferably with expertise in research and development projects and
strong communication skills in English and German. The successful
applicant will work on research and development activities regarding
text annotation by end-users (researchers, analysts, etc.),
information recommendation, information retrieval, or semantic text
analysis, and to create the corresponding applications and software
components in coordination with the prospective end-users.

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. document classification, sequence classification, clustering,
etc.), experience with information retrieval systems and databases,
scalable data processing, and strong programming skills especially in
Java. Experience with neural network architectures and demonstrable
engagement in open source projects are strong pluses.

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
initiative "Data Analytics” and the Research Training Group “Adaptive
Information Processing of Heterogeneous Content” (AIPHES) funded by
the DFG emphasize NLP, machine learning, text mining and 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 standards, cooperative
work style and close interaction of team members working on common
goals.

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 submit your application via the following form by November 24,
2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The
position is open until filled.

== KU Leuven, Belgium : Researcher in Automated Reading of Documents ==

* KU Leuven, Belgium: Postdoc or junior researcher in Automated Reading of Documents
* Employer: KU Leuven, Belgium
* Title: Postdoctoral or research fellow
* Specialty: Machine Learning and Natural Language Processing
* Location: Leuven, Belgium
* Deadline: Ongoing, desired start date: as soon as possible
* Date posted: November 1, 2017
* Contact: [mailto:sien.moens@cs.kuleuven.be Prof. Marie-Francine Moens]

'''Researcher in Automated Reading of Documents''' 
(Department of Computer Science, KU Leuven, Belgium)

The Language Intelligence & Information Retrieval lab (https://liir.cs.kuleuven.be) that is part of the Human Computer Interaction group of the Department of Computer Science of KU Leuven in Belgium has an open position for a motivated researcher interested in the latest developments in artificial intelligence for the automated reading of documents.

The research is carried out in the frame of the SaaS project (Self-learning SaaS platform for simplification of data-intensive customer experiences). The goal is to design, develop and test novel machine learning models that are self-learning and that can be applied for real-time processing of unstructured or semi-structured documents. Special attention will go to deep learning models relying on character-based or word-based representations of content.

We offer a research position in a research team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study both theoretical modelling and challenging applications. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have 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, user generated content mining, and web mining and search. KU Leuven is located about 25 kilometers from Brussels, the capital of Europe. For the second year in a row, KU Leuven leads the Reuters ranking as Europe’s most innovative university.

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field.
* Research experience in machine learning.

'''Desired'''
* Good knowledge of the English language and some knowledge of French or Dutch.

'''Job Details'''
* One year initial position with possible extension to a second and third year based on performance and availability of funds.
* Desired start date: as soon as possible.
* Competitive salary.

'''How to Apply''' 
If interested, send your CV and motivation letter to Prof. Marie-Francine Moens (sien.moens@cs.kuleuven.be). The position will be filled in as soon as possible.

== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Associate
* Specialty: Machine Learning, Speech and Language Processing
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Spring/Summer 2018
* Date posted: October 31, 2017
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 
(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 Spring or Summer 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.

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).

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.

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.

'''Required'''
* 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'''
* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

'''Job Details'''
* One year initial position with possible extension to a second and third year based on performance and availability of funds
* Desired start date is Spring 2018. However, start date is negotiable
* Competitive salary with benefits commensurate with qualifications

'''How to Apply''' 
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

'''About the University of Colorado and the City of Boulder''' 
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.

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.

'''Special Instructions to Applicants''' 
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.

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].

== Two Postdoctoral Positions on Interpretable Vector Space Models ==
*Employer: Cardiff University
*Title: Postdoctoral research associate
*Speciality: Neural networks, statistical relational learning, natural language processing
*Location: Cardiff, UK
*Deadline: November 2 2017
*Date posted: October 6, 2017
*Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC). The overall aims of this project are (i) to learn interpretable vector space representations of entities and their relationships, and (ii) to exploit these vector space representations for various forms of flexible reasoning with, and learning from structured data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

The aim of these positions will be to contribute to one or more of the following topics.

1) Learning structured event embeddings. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with cognitively inspired representations (e.g. based on the theory of conceptual spaces). Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains.

2) Combining statistical relational learning with vector space models of commonsense reasoning. Low-dimensional vector space representations can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning (SRL) can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths, enabling interpretable and robust plausible reasoning from sparse relational data.

3) Geometric representations of logical theories. Most vector space models for knowledge base completion simply represent entities, attributes and relations as vectors. In many domains, however, plausible inferences rely on complex dependencies that cannot be captured by such representations. As an alternative, we will develop methods in which predicates are represented as regions, and logical formulas correspond to qualitative constraints on the spatial configurations of these regions. This model will support more complex inferences than existing approaches, will allow us to exploit existing domain knowledge when learning vector space representations, and will conversely allow us derive approximate logical theories from a learned embedding.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University ==
*Employer: Stockholm University, Sweden
*Title: PhD candidate
*Speciality: Computational Linguistics/Natural Language Processing
*Location: Stockholm, Sweden
*Deadline: October 16, 2017
*Date posted: September 20, 2017
*Contact: [mailto:robert@ling.su.se Robert Östling]

More information and application form: http://www.su.se/english/about/working-at-su/jobs?rmlang=UK&rmpage=job&rmjob=3869

The Department of Linguistics at Stockholm University is looking for a new PhD candidate in the area of computational linguistics/natural language processing. PhD candidates are regular employees of Stockholm University, with a starting salary of 25,300 SEK (2,650 EUR; 3,200 USD) per month and the same benefits and social security as other University employees. The position is fully funded for 4 years. Extension up to one year is possible if the candidate performs teaching or other duties at the department, and further extension is granted in case of parental or sick leave.

The choice of thesis topic is not restricted to a particular project, but should be aligned with the research profile of the department. Possible topics include multilingual NLP methods, machine translation, or computational methods for other areas of research at the department (language acquisition, linguistic typology, phonetics, sign language).

Potential applicants are encouraged to contact [mailto:robert@ling.su.se Robert Östling] to discuss possible thesis projects, or other issues related to the position.

== Tenure Line Assistant Professor Position in Linguistics at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Tenure Line Assistant Professor Position in Linguistics at Northwestern University
*Speciality: Meaning
*Location: Evanston, IL, USA
*Deadline: December 1, 2017
*Date posted: September 18, 2017
*Contact: matt-goldrick@northwestern.edu

http://www.linguistics.northwestern.edu/about/news/faculty-search.html

The Department of Linguistics at Northwestern University seeks to fill a tenure-line assistant professor position with a start date of September 1, 2018. We are looking for candidates with research and teaching interests in meaning, broadly construed. We are particularly interested in candidates whose research program includes cognitive, computational, and/or social approaches. The successful candidate will join a vibrant interdisciplinary community of researchers in the science of language, including computer science, philosophy, psychology, cognitive neuroscience, and speech science.

To receive fullest consideration, applications should be uploaded by December 1, 2017. Candidates must hold a Ph.D. in Linguistics, Cognitive Science, Computer Science, Psychology, or a related field by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). References will separately receive upload instructions after you have submitted your application (letters of reference should arrive as close as December 1st as possible).

The Department is strongly committed to enhancing diversity, equity and inclusion in all aspects – including, but not limited to, race/ethnicity, and gender, as well as disability, sexual orientation, and gender expression and identity. We encourage applications from candidates that share this vision.

E-mail inquiries should be directed to Matt Goldrick, Chair.

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
* Title: Doctoral researcher
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
* Location: Darmstadt
* Deadline: October 6, 2017
* Date posted: September 18, 2017
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

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 several positions for
three years, starting on April 1st, 2018. Positions remain open until
filled.

PhD-level Researchers in Natural Language Processing, Computational
Linguistics, Machine Learning, or related areas

The positions provide the opportunity to obtain a doctoral degree in
the research area of the training group with an emphasis, e.g., in
graph-based discourse processing, in natural language processing tasks
such as automated summarization, in representation and analysis of
text-induced structures, in jointly analyzing text and images, or in 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 the Technische Universität Darmstadt
are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
Processing (Prof. Gurevych), 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 emphasizes close contact between the students and their
advisors, have 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.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in
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 Department of Computer Science of [https://www.informatik.tu-darmstadt.de/ TU Darmstadt] is regularly
ranked among the top ones in respective rankings of German
universities. The [http://www.cl.uni-heidelberg.de/ 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
or two 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 should be submitted via the
following form by October 6th, 2017:
https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In
addition, applicants should be prepared to solve a programming and a
reviewing task in the first two weeks after their application.

==Postdoc Position on Sentence Understanding and Generation at NYU==

* Employer: New York University, Machine Learning for Language Group (Sam Bowman and Kyunghyun Cho)
* Title: Postdoc
* Specialty: Sentence understanding and generation using deep neural networks with latent tree structures or other latent variables
* Location: New York, NY, USA
* Deadline: Rolling
* Date posted: September 15, 2017
* Contact: [mailto:bowman@nyu.edu Sam Bowman]

The Machine Learning for Language Group at NYU expects to hire at least one postdoc to start some time in 2018, working with one or both of PIs Kyunghyun Cho and Sam Bowman.

We expect the researcher to use their time here to develop an independent research program which involves work on neural network models for natural language understanding or generation at the sentence level and to also participate in work on models which use latent tree structures or other continuous or discrete latent variables. The position will be funded through a sponsored research agreement on this topic, and while the researcher may be asked to contribute some effort to the completion of the sponsored research, this shouldn’t be a burden: It will only involve the development, evaluation and publication of novel modeling methods on public datasets.

For more details, see the full ad here:

https://wp.nyu.edu/ml2/postdoc-opening/

==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==

* Employer: University of Twente
* Title: PhD position
* Specialty: Natural Language Generation
* Location: Enschede, The Netherlands
* Deadline: 28 August, 2017
* Date posted: August 4, 2017
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]

The research group Human Media Interaction of the University of Twente is looking for a PhD candidate to work on adaptive text generation. The PhD research aims at generating natural language texts in Dutch, for use in a training game for Dutch firefighters. The texts will be adaptive in the sense that they will be tailored to the player’s individual needs and competences. The type of narrative game that will be developed in our project (in collaboration with a serious game company) offers multiple opportunities for such tailoring of textual game content. Specifically, the goal is to work on the generation of in-game texts based on current real-world data, the generation of non-player character dialogue and the generation of post-game narrative feedback on player performance. Since the generated texts will be in Dutch, the PhD candidate is expected to have a good command of the Dutch language.

The position is full-time for four years. Starting date is as soon as possible. Find more details about the position, including how to apply, by clicking on the link below:

https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511

==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==

* Employer: SPARTED
* Title: Project Researcher
* Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
* Location: Paris (16), France
* Deadline: Until candidate is found
* Date posted: August 4, 2017
* Contact: [mailto:camille@sparted.com]; phone [+33] (06)52148693
* Website: http://www.sparted.com

SPARTED is an innovative and disruptive French EdTech startup that is changing the way people learn by turning employees into daily learners. We offer companies and organizations a SaaS micro-learning mobile platform that allows them to create online gamified content and deliver it independently in a white label app.
SPARTED is initiated an ambitious project and is hiring a Postdoc researcher to pilot it. Find more details about the position by clicking on the link below:

http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf

== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==

* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
* Title: PhD Scholarship
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
* Location: Barcelona, Spain
* Deadline: Until candidate is found
* Date posted: June 10, 2017
* Contact: [mailto:horacio.saggion@upf.edu]

PhD position on data-driven methodologies for music knowledge extraction
In the context of a collaborative project between the Music Technology and the Natural Language Processing groups of the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) we offer a PhD position dedicated to developing data-driven methodologies for music knowledge extraction by combining Natural Language Processing and Music Information Retrieval approaches.

Supervisors of the position: Xavier Serra and Horacio Saggion
Contact for application: Aurelio Ruiz (aurelio.ruiz@upf.edu)

The work to be done in this PhD will aim at processing music related text from open web sources in order to generate musically relevant knowledge. For this, it will require combining methodologies coming from Music Information Retrieval (MIR), Natural Language Processing (NLP) and Computational Musicology.

The PhD position is part of the María de Maeztu Strategic Research Program on data-driven knowledge extraction (MDM-2015-0502) and linked to the program of the Spanish Ministry of Science and Competitiveness .

== Scientific System Developer, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Scientific System Developer
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
* Location: Darmstadt
* Deadline: May 31, 2017
* Date posted: May 3, 2017
* 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 a

'''Scientific System Developer''' 
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''

to strengthen the group’s profile in the area of Argument Mining, Machine Learning and Big Data Analysis. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Argument Mining is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of Argument Mining (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and Python as well as experience in information retrieval, large-scale data processing and machine learning. Experience with continuous system integration and testing and distributed/cluster computing is a strong plus. Combining fundamental NLP research with industrial applications from different application domains will be highly encouraged.

UKP’s wide cooperation network both within its own research community and with partners from 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 and recently established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, 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.

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 send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.

Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
We look forward to receiving your application!

== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==

* Employer: Cardiff University
* Title: Postdoctoral Research Associate
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
* Location: Cardiff, UK
* Deadline: May 20, 2017
* Date posted: April 20, 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.

Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information'''
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Research Associate
* Specialty: Advanced Machine Learning
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Summer/Fall 2017
* Date posted: March 31, 2017
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' 
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second 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.

The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).

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, Cognitive Science, and Education.

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 advanced 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.

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

'''Desired'''
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
* Experience mentoring graduate and undergraduate students

'''Job Details'''
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
* Start date is negotiable, but anticipated for Summer/Fall 2017.
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

'''How to apply''' 
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

Special Instructions to Applicants: 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.

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].

'''Questions''' 
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

== Researcher in Machine Learning and NLP, DFKI, Germany ==

* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
* Title: Researcher
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
* Location: Saarbruecken
* Deadline: March 31, 2017
* Date posted: March 13, 2017
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.

'''Key research responsibilities''' include:
* machine and deep learning for natural language processing/machine translation
* software development and integration
* publication in top-tier conferences and journals

'''General responsibilities''' include:
* engagement with industry partners and contract research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements:'''
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning, neural nets and deep learning
* Strong background and track record in NLP and MT - Excellent programming skills
* Excellent problem solving skills, independent and creative thinking
* Excellent team working and communication skills
* Excellent command of written and oral English
* Command of German and other languages not a requirement but helpful

The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Working environment:'''
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

'''Geographical environment:'''
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.

'''Starting date, duration, salary:'''
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application:'''
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.

== 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: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
* Location: Darmstadt
* Deadline: March 8, 2017
* Date posted: February 21, 2017
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an

'''Associate Research Scientist''' 
'''(PostDoc- or PhD-level; for an initial term of two years)'''

to strengthen the group’s profile in the areas of Interactive Machine
Learning (IML) or Natural Language Processing for Language Learning.
The UKP Lab is a research group comprising over 30 team members who
work on various aspects of Natural Language Processing (NLP), of
which Interactive Machine Learning and Natural Language Processing
for Language Learning are the focus areas researched in collaboration
with partners in research and industry.

We ask for applications from candidates in Computer Science with a
specialization in Machine Learning or Natural Language Processing,
preferably with expertise in research and development projects, and
strong communication skills in English and German.

* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.

Prior work in the above areas is a definite advantage. Ideally, the
candidates should have demonstrable experience in designing and
implementing complex (NLP and/or ML) systems, experience in
large-scale data analysis, large-scale knowledge bases, and strong
programming skills incl. Java. Experience with neural network
architectures and a sense for user experience design are a strong
plus. Combining fundamental NLP research on Interactive Machine
Learning or Natural Language Processing with practical applications
in different domains including education will be highly encouraged.

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
initiative "Knowledge Discovery in the Web" and the Research Training
Group [https://www.aiphes.tu-darmstadt.de/ "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.

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 send the applications to:
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions
are open until filled. Later applications may be considered if the
position is still open.

== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
*Speciality: Open area
*Location: Evanston, IL, USA
*Deadline: April 1, 2017
*Date posted: February 17, 2017
*Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).

The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.

To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
*Employer: Cardiff University, UK
*Title: Research Associate in Artificial Intelligence / Machine Learning
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
*Location: Cardiff, UK
*Deadline: March 2, 2017
*Date posted: February 13, 2017
*Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. 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 Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

'''Essential criteria'''

* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
* A strong background in statistics and linear algebra.
* Excellent programming skills.
* Knowledge of current status of research in specialist field.
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
* Ability to understand and apply for competitive research funding.
* Proven ability in effective and persuasive communication.
* Ability to supervise the work of others to focus team efforts and motivate individuals.
* Proven ability to demonstrate creativity, innovation and team-working within work.

'''Background about the university'''

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

'''Background about the project'''

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

'''More information'''

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associates in Natural Language Processing / Text Mining
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: March 13, 2017
*Date posted: February 10, 2017
*Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

'''Skills'''

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

* Duration of post: Immediately until 31st October 2018
* Salary: £31,076-£38,183 per annum

'''Research Team'''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Employment opportunities, postdoctoral positions, summer jobs

2017-12-20T21:20:11Z

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== Post-Doctoral Position: Law, Economics, & Data Science, ETH Zurich ==

*Employer: Center for Law & Economics, ETH Zurich
*Title: Post-Doctoral Research Fellow
*Location: Zurich, Switzerland
*Deadline: Application review begins Feb 1st 2018; open until filled
*Date Posted: December 20, 2017
*Contact: Elliott Ash ([mailto:e@elliottash.com e@elliottash.com])

'''Description:''' Applications are invited for postdoctoral research position in a new interdisciplinary research group at Center for Law & Economics, ETH Zurich. The research group in Law, Economics, and Data Science focuses on representing legal and political language as statistical data using tools from natural language processing, and then recovering causal relations between language and outcomes in society and the economy. The postdoc will be involved in all aspects of the research, including project planning, research design, data analysis, presentation of findings at conferences, and preparation of manuscripts for submission to leading peer-reviewed journals. The postdoc will have the opportunity to co-author papers with lab colleagues, work with an array of affiliated faculty from ETH and University of Zurich, and develop independent projects related to these research areas. Organizational and teaching duties are limited to a few hours per week. Our offices are located in downtown Zurich, and the working language is English.

'''Qualifications:''' Applicants should have a PhD in computer science, computational linguistics, machine learning, or a related field. Applicants should have graduate-level expertise in natural language processing and machine learning. Excellent English writing skills are essential.

'''How to Apply:''' Online application available at https://apply.refline.ch/845721/5895/index.html?cid=1&lang=en. Application review will begin on February 1, 2018 and continue until the position is filled.

== Post-Doctoral Researcher in Computational Linguistics, University of Pennsylvania ==

*Employer: Department of Computer and Information Science, University of Pennsylvania
*Title: Post-Doctoral Research Fellow
*Location: Philadelphia, PA
*Deadline: Open until filled
*Date Posted:December 17, 2017
*Contact Mitch Marcus (mitch@cis.upenn.edu)

'''Description:''' Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 18 months, starting immediately.

The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years. Our project is also inspired by the current understanding of how children acquire their native language, in an unsupervised setting and with relatively small amount of data. We intend to shamelessly exploit them all.

The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.

'''Qualifications:''' The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.

'''How to Apply:''' Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided below.

==Professor in Computational linguistics at the Linguistics Department, The Graduate Center, CUNY ==
* Employer: The Graduate Center, CUNY
* Rank or Title: Assistant / Associate / Full Professor: Rank Open
* Specialty: Computational Linguistics (see below)
* Location: New York, NY, USA
* Deadline: Open until filled
* Date Posted: 23-0ct-2017

'''Detailed Job Description:''' 

The PhD/MA Program in Linguistics (www.gc.cuny.edu/linguistics) at the Graduate Center of
the City University of New York invites applications for a full-time, tenure-track, open-rank
(untenured Assistant Professor to tenured Full Professor) position to begin Fall 2018.
The Program is an exciting opportunity for applicants with an independent research record in
computational linguistics. Applications should demonstrate exceptionally strong computational
expertise. We are looking for excellent researchers working on models of language that
connect computational linguistics and theoretical approaches to human language.
The successful candidate should also have knowledge of several areas of applied natural
language processing to the extent that they can teach graduate level courses in NLP and mentor
students outside of their specific research area. Integration of applied NLP into the candidate’s
research agenda would be welcome.

The successful candidate will become actively involved in teaching, developing and adapting
graduate curricula, and advising MA and PhD students. He or she will also have day-to- day
administrative responsibilities within the Computational Linguistics track in the Program.
We offer two graduate degrees specializing in computational linguistics, a 32-credit MA and a
PhD. Designed as “one-of- a-kind” computational linguistics programs in the NYC area, they
cater to both students with little or no computational background, as well as to students with
undergraduate or industry experience in computer science or related language technologies.
Certain courses are offered to Linguistics students only, but several are cross-listed with the
PhD Program in Computer Science. Accordingly, demonstrated ability to teach successfully to
both demographics of students is required.

The ability to work in collaboration with The Graduate Center and the City University of New
York to create opportunities and employment pipelines for our graduate students would be an
important asset.

'''About the Graduate Center:''' 

The Graduate Center (GC) is the principal doctorate-granting institution of the City University of
New York (CUNY). Offering more than thirty doctoral degrees from Anthropology to Urban
Education, and fostering globally significant research in a wide variety of centers and institutes,
the GC provides academic training in the humanities, sciences, and social sciences. The
Graduate Center is also integral to the intellectual and cultural vitality of New York City.
Through its extensive public programs, The Graduate Center hosts a wide range of events -
lectures, conferences, book discussions, art exhibits, concerts, and dance and theater that enrich
and inform.

'''Qualifications:''' 

A PhD in Linguistics, Computational Linguistics, Computer Science (with a clear specialization in
language applications), or related area
Extensive research experience in computational linguistics, as demonstrated by publications in
peer-reviewed journals and conference proceedings
Ability to teach graduate courses and supervise MA theses and PhD dissertations

'''Other Qualifications:''' 

A secondary research profile in one or more of the following fields:
Language Technology, Machine Learning, Statistical Approaches to Language, Data Mining,
Corpus Analysis, Speech Processing.

'''How to apply''' 
Go to www.cuny.edu, click Employment>Search Job Postings, then type Keywords:
Computational Linguistics.

== Visiting Assistant Professor in Computational Linguistics and Language Science at RIT ==
* Employer: Rochester Institute of Technology
* Rank or Title: Visiting Assistant Professor in Computational Linguistics and Language Science
* Speciality: Computational linguistics and/or innovative technical or scientific methods in language science
* Location: Rochester, NY, USA
* Deadline: November 25, 2017 (Review of applications begins.)
* Date Posted: November 16, 2017
* Contact: Cissi Ovesdotter Alm (coagla@rit.edu) and [http://apptrkr.com/1116776 http://apptrkr.com/1116776]

'''Detailed Job Description:''' 

The Department of English invites applications for a Visiting Assistant Professor position, beginning in January 2018, with specialization in computational linguistics and/or innovative technical or scientific methods in language science at Rochester Institute of Technology (RIT), with a focus on one or more areas of application. Possible areas include:

* Deep learning for natural language understanding
* Speech and speech technology
* Multimodal and linguistic sensors
* Human-computer interaction
* Linguistic narrative analytics  

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on initiatives in artificial intelligence and in digital humanities and social sciences. The position has the possibility of extension beyond Spring 2018.  

The successful applicant will be a researcher and teacher with an agenda that emphasizes innovative technical methods in linguistics, for instance in natural language processing, linguistic/multimodal sensors, speech and speech technology, and/or other computational or technical approaches applied to language data. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork, student mentoring, and has a coherent plan for grant seeking activities. The right candidate will contribute to advancing our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students' global education experiences are additionally valued.  

The teaching assignment may be Introduction to Language Science, Language Technology, Introduction to NLP, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, self-designed courses, or another course depending on background.  

We are seeking an individual who has the ability and interest in contributing to a community committed to student-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 [http://www.rit.edu/academicaffairs/policiesmanual/p040 core values], [http://www.rit.edu/academicaffairs/policiesmanual/p030 honor code], and [http://www.rit.edu/academicaffairs/policiesmanual/p050 statement of diversity].

  '''Department Description:''' 
 THE UNIVERSITY AND ROCHESTER COMMUNITY:  
RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT. Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges emphasizing career education and experiential learning. With approximately 15,000 undergraduates and 2,900 graduate students, RIT is one of the largest private universities in the nation. RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by The Chronicle of Higher Education as one of the “Great Colleges to Work For” for four years. RIT is a National Science Foundation ADVANCE Institutional Transformation site. RIT is responsive to the needs of dual-career couples by our membership in the Upstate NY HERC.

  Rochester, situated between Lake Ontario and the Finger Lakes region, is the 51st largest metro area in the United States and the third largest city in New York State. The Greater Rochester region, which is home to nearly 1.1 million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 18% African and Latin Americans and another 3% of international origin. It is also home to one of the largest deaf communities per capita in the U.S. Rochester ranks 4th for “Most Affordable City" by Forbes Magazine, and MSN selected Rochester as the “#1 Most Livable Bargain Market” (for real-estate). Kiplinger named Rochester one of the top five “Best City for Families.”  

'''Job Requirements:''' 
* Ph.D. with training in Computational Linguistics, Linguistics, or an allied field for language science, in hand prior to appointment date.
* Advanced graduate coursework in computational linguistics, including natural language and/or spoken language processing or technical methods in linguistics.
* Publication record and coherent plan for research and grant seeking activities.
* Evidence of outstanding teaching.
* 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://apptrkr.com/1116776 http://apptrkr.com/1116776]. Please submit your online application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:
* A research statement
* A teaching statement
* Copy of transcripts of graduate coursework
* A sample publication
* The names, addresses, and phone numbers for three references 
* [http://www.rit.edu/academicaffairs/policiesmanual/p050 Statement of diversity]

Questions regarding this position can be directed to the search committee chair-Dr. Cecilia Ovesdotter Alm at coagla@rit.edu.

 Review of applications will begin on November 25, 2017 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 [http://www.rit.edu/fa/humanresources/ RIT/TitleIX] or the U.S. Department of Education at [https://wdcrobcolp01.ed.gov/CFAPPS/OCR/contactus.cfm ED.Gov].

== Post-doctoral positions on interpretable vector space embeddings, Cardiff University, UK ==

* Employer: Cardiff University
* Title: Postdoctoral research associate
* Specialty: Knowledge graphs, conceptual spaces, vector space embeddings, statistical learning, neural networks
* Location: Cardiff, UK
* Deadline: 10 December 2017
* Date posted: 10 November 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk schockaerts1@cardiff.ac.uk]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of the ERC funded project FLEXILOG. The overall aims of this project are (i) to learn interpretable vector space embeddings (or conceptual spaces) from a variety of structured and unstructured information sources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

Specifically, the aim of these posts will be to contribute to one or more of the following:

* to develop methods for statistical reasoning from sparse relational data, which exploit vector space representations to impose cognitively inspired forms of regularization (e.g. the fact that concepts tend to correspond to convex regions).
* to develop methods for learning modular and interpretable vector space representations of events, which can be used to predict how events will impact the actors involved (and the entities related to them), as well as the likelihood of related future events.
* to evaluate these methods in applications such as zero-shot learning, textual entailment, reading comprehension, automated knowledge base completion, and entity retrieval.

Successful candidates are expected to have excellent programming skills, as well as a strong background in natural language processing, machine learning, or knowledge representation.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information''': 
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Post-doctoral position in deep learning for natural language understanding at Idiap, Switzerland ==

* Employer: [http://www.idiap.ch/ Idiap Research Institute], Martigny, Switzerland
* Title: PostDoc
* Specialty: deep learning for natural language understanding
* Location: Martigny, Switzerland
* Deadline: until position filled
* Date posted: November 8, 2017
* Contact: [mailto:james.henderson@idiap.ch james.henderson@idiap.ch]

The Idiap Research Institute seeks qualified candidates for a Postdoc position in the field of natural language understanding. The research will be conducted in the framework of EU H2020 and IARPA projects, in collaboration with international consortia.

The successful candidate will work with Dr. James Henderson (http://cui.unige.ch/~hendersj/) within the Natural Language Understanding group at Idiap, and have the opportunity to collaborate with other world-class researchers in machine learning, natural language processing and speech recognition at Idiap, their project partners, and nearby EPFL. The NLU group has expertise in representation learning and deep neural network structured prediction applied to syntactic/semantic parsing, semantic entailment, machine translation, information retrieval and other NLP tasks.

The research will investigate deep learning architectures for cross-lingual natural language understanding and indexing. The focus can include end-to-end integration with neural speech recognition, cross-lingual and compositional representation learning, low-resource training methods, machine translation, summarisation and cross-lingual information retrieval.

The ideal candidate should hold a PhD degree in computer science or a related field. She/he will have a background in natural language processing and/or machine learning, with strong programming skills and an excellent publication record. Familiarity with deep learning toolkits will be an advantage.

The Postdoc position is offered on a one-year basis with the possibility of renewal based on funding and performance, with a starting salary of 80,000 CHF/year. Exceptionally qualified candidates can also be considered for a longer-term Research Associate position. Starting date is immediate or to be negotiated. Applications will be considered until the position is filled.

Please apply online here:
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710223%27%7D

== Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation, DFKI, German Research Center for Artificial Intelligence, Germany ==

* Employer: [http://www.dfki.de/ Department of Language Technology], DFKI GmbH, Saarbrücken, Germany
* Title: Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation
* Specialty: machine learning and deep learning for machine translation
* Location: Saarbrücken
* Deadline: November 30, 2017
* Date posted: November 6, 2017
* Contact: [mailto:mlt-sek@dfki.de josef.van_genabith@dfki.de]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning for NLP with a focus on '''Deep Learning and Machine Translation'''. Depending on track record and experience, the position is available at the Junior/Researcher/Senior level.

'''Research responsibilities include''': 
* machine learning and deep learning for machine translation
* publication in top-tier conferences and journals
* software development and integration

'''General responsibilities include''': 
* basic research as well as industry funded applied research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements''': 
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning and deep learning as well as in MT and NLP
* Strong problem solving and programming skills, independent and creative thinking
* Strong team working and communication skills, as well as excellent command of written and oral English. Command of German or other languages will be helpful.

Successful applicants will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Starting date, duration, salary''': 
Preferred starting dates are early Spring 2018. The position is available for a duration of three years, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application''': 
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references.
Please send your electronic application (preferably in PDF format) and inquiries to the above address referring to job opening no. 97/17/JvG.

== Independent Research Group Leader, Department of Computer Science, TU Darmstadt ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Department of Computer Science], Technische Universität Darmstadt, Germany
* Title: AIndependent Research Group Leader
* Specialty: Natural Language Processing for the Humanities
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* Contact: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]

Independent Research Group Leader "Natural Language Processing for the
Humanities", Technische Universität Darmstadt

The Department of Computer Science of Technische Universität Darmstadt
seeks to fill an Independent Research Group (IRG) Leader position for
the initial duration of four years. The program allows young
scientists to found their own research group. It is similar in spirit
to DFG's Emmy Noether Program. The focus of the Independent Research
Group will be on cutting-edge Natural Language Processing research
with its novel applications to support humanities research, e.g.
mining scientific literature, automatic discourse analysis, or
multimodal content classification to identify bias or tone
computationally. The goal of the position is to strengthen the rapidly
growing profile of the Department in Data Analytics at the
intersection of Natural Language Processing, Computer Vision, and
Machine Learning on the one side, and to further develop the connection
between Computer Science and the Humanities on the other side.

The IRG Leader will receive an opportunity to conduct independent
research and teaching, and the funding to hire a PhD student (similar
to assistant professors). Candidates must have completed their PhD in
Computer Science or related area, have an outstanding publication
record and demonstrate experience in working with the international
research community. Ideally they have held at least one postdoc
position at a university other than the one they obtained their PhD
degree from. The program offers competitive personal compensation and
access to resources. The IRG Leaders are employed by TU Darmstadt on
its own pay scale TV-TU Darmstadt. Applicants are selected based on
their credentials, references, and participation in a scientific
colloquium. We expect the ability to work independently, personal
commitment, team and communication abilities, as well as the
willingness to cooperate in a multi-disciplinary team. We specifically
invite applications of women. Among those equally qualified,
handicapped applicants will receive preferential consideration.
International applications are particularly encouraged.

The successful candidate will be given the opportunity to join the PI
team of the graduate school [https://www.aiphes.tu-darmstadt.de/ "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES)]. The project conducts innovative
research in a cross-disciplinary context. To that end, methods in
computational linguistics, natural language processing, machine
learning, network analysis, and automated quality assessment are
developed. AIPHES investigates a novel scenario for information
preparation from heterogeneous sources, within the application context
of multi-document summarization. There is close interaction 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 required.

The Department of Computer Science of TU Darmstadt is regularly ranked
among the top ones in respective rankings of German universities. Its
unique [https://www.cedifor.de/en/ "Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences" (CEDIFOR)] emphasizes natural language processing, text mining, machine learning, as well as
scalable infrastructures for assessment and aggregation of knowledge
applied to novel research problems from the Humanities domain.

Applications should be submitted to
https://public.ukp.informatik.tu-darmstadt.de/irgrecruitment/ by
November 24, 2017 and include a research and teaching statement along
with the CV, publication list, name of three academic references, and
further supporting documents. In case of questions, please contact
Prof. Dr. Iryna Gurevych: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]. The position is open until filled.

== PostDoc / Senior Researcher, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: PostDoc / Senior Researcher
* Specialty: NLP applications to humanities, social and educational sciences; multimodal analysis and large-scale knowledge extraction
* Location: Darmstadt
* Deadline: November 25, 2017
* Date posted: November 3, 2017
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a

PostDoc / Senior Researcher
(for an initial term of two years with an option for an extension)

to strengthen the group’s expertise in the area of Natural Language Processing with its novel applications to Humanities, Social and Educational Sciences with a focus on multimodal analysis and large-scale knowledge extraction. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP). The group has a strong research profile in computational linguistics, machine learning and text mining. Core research areas include semantic text analysis and resources with their applications in multimodal information processing, knowledge discovery, and discourse analysis. The lab closely cooperates with groups in machine learning, image analysis, and interactive data analytics of the Computer Science department and a large number of research labs worldwide.

We ask for applications from candidates in Computer Science with a specialization/PhD in Natural Language Processing or Text Mining, preferably with expertise in research and development projects and strong communication skills in English and German (optional). The successful applicant will work on research and development activities within the profile area described above and – based on the previous experience and qualification – will be given an opportunity to contribute to teaching courses, PhD student co-supervision, and project management activities.

Ideally, the candidates should have demonstrable experience in NLP research, designing and implementing complex (NLP and/or ML) systems, applying Machine Learning incl. neural networks to text processing (e.g. document classification, sequence classification, clustering, etc.), information retrieval and databases, scalable data processing, and strong programming skills in Python and/or Java.

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 Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning and text mining. UKP 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 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 the following form by November 25, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== 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: interactive text analysis, natural language processing infrastructure
* Location: Darmstadt
* Deadline: November 24, 2017
* Date posted: November 3, 2017
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of
Computer Science, Technische Universität (TU) Darmstadt, Germany has
an opening for an

'''Associate Research Scientist''' 
'''(PostDoc- or 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 Infrastructure. The UKP Lab
is a research group comprising over 30 team members who work on
various aspects of Natural Language Processing (NLP) with a rapidly
developing focus on Interactive Machine Learning, and who provide a
wide range of open source software packages for interactive and
automatic text analysis to research and industry communities.

We ask for applications from candidates in Computer Science with a
specialization in Natural Language Processing or Text Mining,
preferably with expertise in research and development projects and
strong communication skills in English and German. The successful
applicant will work on research and development activities regarding
text annotation by end-users (researchers, analysts, etc.),
information recommendation, information retrieval, or semantic text
analysis, and to create the corresponding applications and software
components in coordination with the prospective end-users.

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. document classification, sequence classification, clustering,
etc.), experience with information retrieval systems and databases,
scalable data processing, and strong programming skills especially in
Java. Experience with neural network architectures and demonstrable
engagement in open source projects are strong pluses.

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
initiative "Data Analytics” and the Research Training Group “Adaptive
Information Processing of Heterogeneous Content” (AIPHES) funded by
the DFG emphasize NLP, machine learning, text mining and 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 standards, cooperative
work style and close interaction of team members working on common
goals.

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 submit your application via the following form by November 24,
2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The
position is open until filled.

== KU Leuven, Belgium : Researcher in Automated Reading of Documents ==

* KU Leuven, Belgium: Postdoc or junior researcher in Automated Reading of Documents
* Employer: KU Leuven, Belgium
* Title: Postdoctoral or research fellow
* Specialty: Machine Learning and Natural Language Processing
* Location: Leuven, Belgium
* Deadline: Ongoing, desired start date: as soon as possible
* Date posted: November 1, 2017
* Contact: [mailto:sien.moens@cs.kuleuven.be Prof. Marie-Francine Moens]

'''Researcher in Automated Reading of Documents''' 
(Department of Computer Science, KU Leuven, Belgium)

The Language Intelligence & Information Retrieval lab (https://liir.cs.kuleuven.be) that is part of the Human Computer Interaction group of the Department of Computer Science of KU Leuven in Belgium has an open position for a motivated researcher interested in the latest developments in artificial intelligence for the automated reading of documents.

The research is carried out in the frame of the SaaS project (Self-learning SaaS platform for simplification of data-intensive customer experiences). The goal is to design, develop and test novel machine learning models that are self-learning and that can be applied for real-time processing of unstructured or semi-structured documents. Special attention will go to deep learning models relying on character-based or word-based representations of content.

We offer a research position in a research team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study both theoretical modelling and challenging applications. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have 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, user generated content mining, and web mining and search. KU Leuven is located about 25 kilometers from Brussels, the capital of Europe. For the second year in a row, KU Leuven leads the Reuters ranking as Europe’s most innovative university.

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field.
* Research experience in machine learning.

'''Desired'''
* Good knowledge of the English language and some knowledge of French or Dutch.

'''Job Details'''
* One year initial position with possible extension to a second and third year based on performance and availability of funds.
* Desired start date: as soon as possible.
* Competitive salary.

'''How to Apply''' 
If interested, send your CV and motivation letter to Prof. Marie-Francine Moens (sien.moens@cs.kuleuven.be). The position will be filled in as soon as possible.

== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Associate
* Specialty: Machine Learning, Speech and Language Processing
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Spring/Summer 2018
* Date posted: October 31, 2017
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 
(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 Spring or Summer 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.

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).

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.

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.

'''Required'''
* 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'''
* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

'''Job Details'''
* One year initial position with possible extension to a second and third year based on performance and availability of funds
* Desired start date is Spring 2018. However, start date is negotiable
* Competitive salary with benefits commensurate with qualifications

'''How to Apply''' 
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

'''About the University of Colorado and the City of Boulder''' 
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.

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.

'''Special Instructions to Applicants''' 
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.

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].

== Two Postdoctoral Positions on Interpretable Vector Space Models ==
*Employer: Cardiff University
*Title: Postdoctoral research associate
*Speciality: Neural networks, statistical relational learning, natural language processing
*Location: Cardiff, UK
*Deadline: November 2 2017
*Date posted: October 6, 2017
*Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC). The overall aims of this project are (i) to learn interpretable vector space representations of entities and their relationships, and (ii) to exploit these vector space representations for various forms of flexible reasoning with, and learning from structured data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/

The aim of these positions will be to contribute to one or more of the following topics.

1) Learning structured event embeddings. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with cognitively inspired representations (e.g. based on the theory of conceptual spaces). Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains.

2) Combining statistical relational learning with vector space models of commonsense reasoning. Low-dimensional vector space representations can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning (SRL) can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths, enabling interpretable and robust plausible reasoning from sparse relational data.

3) Geometric representations of logical theories. Most vector space models for knowledge base completion simply represent entities, attributes and relations as vectors. In many domains, however, plausible inferences rely on complex dependencies that cannot be captured by such representations. As an alternative, we will develop methods in which predicates are represented as regions, and logical formulas correspond to qualitative constraints on the spatial configurations of these regions. This model will support more complex inferences than existing approaches, will allow us to exploit existing domain knowledge when learning vector space representations, and will conversely allow us derive approximate logical theories from a learned embedding.

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University ==
*Employer: Stockholm University, Sweden
*Title: PhD candidate
*Speciality: Computational Linguistics/Natural Language Processing
*Location: Stockholm, Sweden
*Deadline: October 16, 2017
*Date posted: September 20, 2017
*Contact: [mailto:robert@ling.su.se Robert Östling]

More information and application form: http://www.su.se/english/about/working-at-su/jobs?rmlang=UK&rmpage=job&rmjob=3869

The Department of Linguistics at Stockholm University is looking for a new PhD candidate in the area of computational linguistics/natural language processing. PhD candidates are regular employees of Stockholm University, with a starting salary of 25,300 SEK (2,650 EUR; 3,200 USD) per month and the same benefits and social security as other University employees. The position is fully funded for 4 years. Extension up to one year is possible if the candidate performs teaching or other duties at the department, and further extension is granted in case of parental or sick leave.

The choice of thesis topic is not restricted to a particular project, but should be aligned with the research profile of the department. Possible topics include multilingual NLP methods, machine translation, or computational methods for other areas of research at the department (language acquisition, linguistic typology, phonetics, sign language).

Potential applicants are encouraged to contact [mailto:robert@ling.su.se Robert Östling] to discuss possible thesis projects, or other issues related to the position.

== Tenure Line Assistant Professor Position in Linguistics at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Tenure Line Assistant Professor Position in Linguistics at Northwestern University
*Speciality: Meaning
*Location: Evanston, IL, USA
*Deadline: December 1, 2017
*Date posted: September 18, 2017
*Contact: matt-goldrick@northwestern.edu

http://www.linguistics.northwestern.edu/about/news/faculty-search.html

The Department of Linguistics at Northwestern University seeks to fill a tenure-line assistant professor position with a start date of September 1, 2018. We are looking for candidates with research and teaching interests in meaning, broadly construed. We are particularly interested in candidates whose research program includes cognitive, computational, and/or social approaches. The successful candidate will join a vibrant interdisciplinary community of researchers in the science of language, including computer science, philosophy, psychology, cognitive neuroscience, and speech science.

To receive fullest consideration, applications should be uploaded by December 1, 2017. Candidates must hold a Ph.D. in Linguistics, Cognitive Science, Computer Science, Psychology, or a related field by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). References will separately receive upload instructions after you have submitted your application (letters of reference should arrive as close as December 1st as possible).

The Department is strongly committed to enhancing diversity, equity and inclusion in all aspects – including, but not limited to, race/ethnicity, and gender, as well as disability, sexual orientation, and gender expression and identity. We encourage applications from candidates that share this vision.

E-mail inquiries should be directed to Matt Goldrick, Chair.

Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
* Title: Doctoral researcher
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
* Location: Darmstadt
* Deadline: October 6, 2017
* Date posted: September 18, 2017
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

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 several positions for
three years, starting on April 1st, 2018. Positions remain open until
filled.

PhD-level Researchers in Natural Language Processing, Computational
Linguistics, Machine Learning, or related areas

The positions provide the opportunity to obtain a doctoral degree in
the research area of the training group with an emphasis, e.g., in
graph-based discourse processing, in natural language processing tasks
such as automated summarization, in representation and analysis of
text-induced structures, in jointly analyzing text and images, or in 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 the Technische Universität Darmstadt
are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
Processing (Prof. Gurevych), 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 emphasizes close contact between the students and their
advisors, have 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.

Prerequisites

We are looking for exceptionally qualified candidates with a degree in
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 Department of Computer Science of [https://www.informatik.tu-darmstadt.de/ TU Darmstadt] is regularly
ranked among the top ones in respective rankings of German
universities. The [http://www.cl.uni-heidelberg.de/ 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
or two 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 should be submitted via the
following form by October 6th, 2017:
https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In
addition, applicants should be prepared to solve a programming and a
reviewing task in the first two weeks after their application.

==Postdoc Position on Sentence Understanding and Generation at NYU==

* Employer: New York University, Machine Learning for Language Group (Sam Bowman and Kyunghyun Cho)
* Title: Postdoc
* Specialty: Sentence understanding and generation using deep neural networks with latent tree structures or other latent variables
* Location: New York, NY, USA
* Deadline: Rolling
* Date posted: September 15, 2017
* Contact: [mailto:bowman@nyu.edu Sam Bowman]

The Machine Learning for Language Group at NYU expects to hire at least one postdoc to start some time in 2018, working with one or both of PIs Kyunghyun Cho and Sam Bowman.

We expect the researcher to use their time here to develop an independent research program which involves work on neural network models for natural language understanding or generation at the sentence level and to also participate in work on models which use latent tree structures or other continuous or discrete latent variables. The position will be funded through a sponsored research agreement on this topic, and while the researcher may be asked to contribute some effort to the completion of the sponsored research, this shouldn’t be a burden: It will only involve the development, evaluation and publication of novel modeling methods on public datasets.

For more details, see the full ad here:

https://wp.nyu.edu/ml2/postdoc-opening/

==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==

* Employer: University of Twente
* Title: PhD position
* Specialty: Natural Language Generation
* Location: Enschede, The Netherlands
* Deadline: 28 August, 2017
* Date posted: August 4, 2017
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]

The research group Human Media Interaction of the University of Twente is looking for a PhD candidate to work on adaptive text generation. The PhD research aims at generating natural language texts in Dutch, for use in a training game for Dutch firefighters. The texts will be adaptive in the sense that they will be tailored to the player’s individual needs and competences. The type of narrative game that will be developed in our project (in collaboration with a serious game company) offers multiple opportunities for such tailoring of textual game content. Specifically, the goal is to work on the generation of in-game texts based on current real-world data, the generation of non-player character dialogue and the generation of post-game narrative feedback on player performance. Since the generated texts will be in Dutch, the PhD candidate is expected to have a good command of the Dutch language.

The position is full-time for four years. Starting date is as soon as possible. Find more details about the position, including how to apply, by clicking on the link below:

https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511

==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==

* Employer: SPARTED
* Title: Project Researcher
* Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
* Location: Paris (16), France
* Deadline: Until candidate is found
* Date posted: August 4, 2017
* Contact: [mailto:camille@sparted.com]; phone [+33] (06)52148693
* Website: http://www.sparted.com

SPARTED is an innovative and disruptive French EdTech startup that is changing the way people learn by turning employees into daily learners. We offer companies and organizations a SaaS micro-learning mobile platform that allows them to create online gamified content and deliver it independently in a white label app.
SPARTED is initiated an ambitious project and is hiring a Postdoc researcher to pilot it. Find more details about the position by clicking on the link below:

http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf

== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==

* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
* Title: PhD Scholarship
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
* Location: Barcelona, Spain
* Deadline: Until candidate is found
* Date posted: June 10, 2017
* Contact: [mailto:horacio.saggion@upf.edu]

PhD position on data-driven methodologies for music knowledge extraction
In the context of a collaborative project between the Music Technology and the Natural Language Processing groups of the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) we offer a PhD position dedicated to developing data-driven methodologies for music knowledge extraction by combining Natural Language Processing and Music Information Retrieval approaches.

Supervisors of the position: Xavier Serra and Horacio Saggion
Contact for application: Aurelio Ruiz (aurelio.ruiz@upf.edu)

The work to be done in this PhD will aim at processing music related text from open web sources in order to generate musically relevant knowledge. For this, it will require combining methodologies coming from Music Information Retrieval (MIR), Natural Language Processing (NLP) and Computational Musicology.

The PhD position is part of the María de Maeztu Strategic Research Program on data-driven knowledge extraction (MDM-2015-0502) and linked to the program of the Spanish Ministry of Science and Competitiveness .

== Scientific System Developer, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Scientific System Developer
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
* Location: Darmstadt
* Deadline: May 31, 2017
* Date posted: May 3, 2017
* 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 a

'''Scientific System Developer''' 
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''

to strengthen the group’s profile in the area of Argument Mining, Machine Learning and Big Data Analysis. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Argument Mining is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of Argument Mining (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and Python as well as experience in information retrieval, large-scale data processing and machine learning. Experience with continuous system integration and testing and distributed/cluster computing is a strong plus. Combining fundamental NLP research with industrial applications from different application domains will be highly encouraged.

UKP’s wide cooperation network both within its own research community and with partners from 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 and recently established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, 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.

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 send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.

Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
We look forward to receiving your application!

== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==

* Employer: Cardiff University
* Title: Postdoctoral Research Associate
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
* Location: Cardiff, UK
* Deadline: May 20, 2017
* Date posted: April 20, 2017
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.

Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)

Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.

'''More information'''
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==

* Employer: University of Colorado Boulder
* Title: Postdoctoral Research Associate
* Specialty: Advanced Machine Learning
* Location: Boulder, Colorado, United States
* Deadline: Ongoing, desired start Summer/Fall 2017
* Date posted: March 31, 2017
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' 
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second 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.

The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).

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, Cognitive Science, and Education.

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 advanced 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.

'''Required'''
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record

'''Desired'''
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
* Experience mentoring graduate and undergraduate students

'''Job Details'''
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
* Start date is negotiable, but anticipated for Summer/Fall 2017.
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.

'''How to apply''' 
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.

Special Instructions to Applicants: 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.

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].

'''Questions''' 
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]

== Researcher in Machine Learning and NLP, DFKI, Germany ==

* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
* Title: Researcher
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
* Location: Saarbruecken
* Deadline: March 31, 2017
* Date posted: March 13, 2017
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]

The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.

'''Key research responsibilities''' include:
* machine and deep learning for natural language processing/machine translation
* software development and integration
* publication in top-tier conferences and journals

'''General responsibilities''' include:
* engagement with industry partners and contract research
* identification of funding opportunities and engagement in proposal writing
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* administrative work associated with programmes of research

'''Requirements:'''
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
* Strong background and track record in machine learning, neural nets and deep learning
* Strong background and track record in NLP and MT - Excellent programming skills
* Excellent problem solving skills, independent and creative thinking
* Excellent team working and communication skills
* Excellent command of written and oral English
* Command of German and other languages not a requirement but helpful

The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).

'''Working environment:'''
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.

The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

'''Geographical environment:'''
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.

'''Starting date, duration, salary:'''
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.

'''Application:'''
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.

== 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: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
* Location: Darmstadt
* Deadline: March 8, 2017
* Date posted: February 21, 2017
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an

'''Associate Research Scientist''' 
'''(PostDoc- or PhD-level; for an initial term of two years)'''

to strengthen the group’s profile in the areas of Interactive Machine
Learning (IML) or Natural Language Processing for Language Learning.
The UKP Lab is a research group comprising over 30 team members who
work on various aspects of Natural Language Processing (NLP), of
which Interactive Machine Learning and Natural Language Processing
for Language Learning are the focus areas researched in collaboration
with partners in research and industry.

We ask for applications from candidates in Computer Science with a
specialization in Machine Learning or Natural Language Processing,
preferably with expertise in research and development projects, and
strong communication skills in English and German.

* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.

Prior work in the above areas is a definite advantage. Ideally, the
candidates should have demonstrable experience in designing and
implementing complex (NLP and/or ML) systems, experience in
large-scale data analysis, large-scale knowledge bases, and strong
programming skills incl. Java. Experience with neural network
architectures and a sense for user experience design are a strong
plus. Combining fundamental NLP research on Interactive Machine
Learning or Natural Language Processing with practical applications
in different domains including education will be highly encouraged.

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
initiative "Knowledge Discovery in the Web" and the Research Training
Group [https://www.aiphes.tu-darmstadt.de/ "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.

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 send the applications to:
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions
are open until filled. Later applications may be considered if the
position is still open.

== Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
*Employer: Northwestern University, USA
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
*Speciality: Open area
*Location: Evanston, IL, USA
*Deadline: April 1, 2017
*Date posted: February 17, 2017
*Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).

The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.

To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.

== Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
*Employer: Cardiff University, UK
*Title: Research Associate in Artificial Intelligence / Machine Learning
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
*Location: Cardiff, UK
*Deadline: March 2, 2017
*Date posted: February 13, 2017
*Contact: schockaerts1@cardiff.ac.uk

Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. 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 Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.

This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)

'''Essential criteria'''

* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
* A strong background in statistics and linear algebra.
* Excellent programming skills.
* Knowledge of current status of research in specialist field.
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).
* Ability to understand and apply for competitive research funding.
* Proven ability in effective and persuasive communication.
* Ability to supervise the work of others to focus team efforts and motivate individuals.
* Proven ability to demonstrate creativity, innovation and team-working within work.

'''Background about the university'''

Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.

'''Background about the project'''

Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.

The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.

'''More information'''

For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.

== Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associates in Natural Language Processing / Text Mining
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: March 13, 2017
*Date posted: February 10, 2017
*Contact: sophia.ananiadou@manchester.ac.uk

The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.

They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning.

'''Skills'''

You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus. You should have excellent programming skills, preferably in Java.

* Duration of post: Immediately until 31st October 2018
* Salary: £31,076-£38,183 per annum

'''Research Team'''

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.

Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).

Deadline of applications: 13/03/2017

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975