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

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Funded PhD Position in Natural Language Processing in Barcelona

Employer: Department of Information and Communication Technologies at Universitat Pompeu Fabra
Title: PhD studentship position
Specialty: NLP
Location: Barcelona, Spain
Deadline: August 8th, 2016 (or until filled)
Date posted: 29th July 2016
Contact: Prof. Horacio Saggion

The Department of Information and Communication Technologies at Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a PhD studentship position that is associated with the María de Maeztu Units of Excellence Research Program of the Spanish Government (http://www.upf.edu/mdm-dtic), and involves joint work of the research labs of profs. Horacio Saggion and Ricardo Baeza-Yates. This position will be funded under the FPI call to be launched by the Spanish Ministry of Economy and Competitiveness.

Project Description

In the context of our Maria de Maeztu (MdM) project "Mining the Knowledge of Scientific Publications" ( see http://www.upf.edu/mdm-dtic) the PhD student will carry out a research project on the more focused area of automatic research paper assessment which concerns a number of interesting research questions including but not limited to:

automatic research paper evaluation
automatic research paper/author impact prediction
automatic novelty evaluation

The PhD will benefit from the resources developed during MdM project: availability of large scale open scientific repositories, natural language processing technology adapted to scientific text processing, document retrieval technology, etc. as well as the expertise of the MdM team members.

Applicants

Candidates should hold a M.Sc. in Computer Science or related field with a solid background in Natural Language Processing and be proficient in spoken and written English. Experience with recent advances in Machine Learning and Information Retrieval would be highly valuable. Knowledge of statistical analysis is highly desirable.

More information

For informal inquiries, prospective candidates may contact professor Horacio Saggion at horacio DOT saggion AT upf DOT edu

For more information please check the official announcement at

https://portal.upf.edu/web/etic/automatic-research-assessment?p_p_id=56_INSTANCE_MaAxd6TFfhia&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&p_p_col_id=column-1&p_p_col_count=1

Associate Research Scientist, UKP Lab, TU Darmstadt

Employer: UKP Lab, Technische Universität Darmstadt, Germany
Title: Associate Research Scientist
Specialty: NLP
Location: Darmstadt
Deadline: August 31, 2016
Date posted: July 24, 2016
Contact: Prof. Iryna Gurevych

The Ubiquitous Knowledge Processing (UKP) Lab 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 (i) Unsupervised/Weakly Supervised NLP and its applications in semantic or discourse analysis,(ii) Computational Argumentation, or (iii) NLP methods to tackle novel problems in Social Sciences and Humanities. The UKP Lab is a research group at the Department of Computer Science at the Technische Universität Darmstadt, Germany. It comprises about 40 team members who work on various aspects of Natural Language Processing (NLP). The department was recently ranked among the top three in Europe in the area of NLP.

We ask for applications from candidates in Computer Science, Computational Linguistics, or related fields, preferably with R&D project expertise, and strong communication skills in English and German. The successful applicant will work in projects including R&D activities in the areas listed above. Prior work in the respective fields is a definite advantage. Experience with deep learning is a strong plus. Ideally, the candidates should have demonstrable experience in designing and implementing NLP systems and algorithms in Java or Python, and experience in machine learning, information retrieval, and large-scale data processing. Combining fundamental NLP research in the above listed areas with applications from industry and social sciences and humanities will be highly encouraged. UKP Lab offers a supportive atmosphere and attractive opportunities for personal career development.

UKP’s wide cooperation network, both within its own research community and with partners from industry and the social sciences and humanities, will provide a great environment for the successful applicant. The Department of Computer Science of TU Darmstadt is regularly ranked among the best in German universities. Its unique research initiative "Knowledge Discovery in the Web” and DFG-funded Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) emphasize NLP, text mining, and machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. The UKP Lab is a dynamic, high-profile research group committed to excellent research results, technologies of the highest industrial standards, a cooperative work style, and close interaction of team members working on joint projects.

Applications should include a 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 applications to jobs@ukp.informatik.tu-darmstadt.de by 31 August 2016. The position will remain open until filled. Interviews may start any time.

Research Fellow in Biomedical Text Mining, University of Manchester, UK

Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
Title: Research Fellow
Speciality: Natural Language Processing, Text Mining
Location: Manchester, UK
Deadline: August 13, 2016
Date posted: July 18, 2016
Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a postdoctoral research fellow in Biomedical Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester.

The objective of this BBSRC funded post in collaboration with Unilever is to conduct research into extracting complex information from the scientific literature to support metabolic pathway curation using text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in information extraction at large scale; excellent knowledge in developing and adapting algorithms for text mining systems; machine learning; experience in biomedical Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, etc., and in high quality journals; excellent programming skills; proven ability to develop independently research proposals.

Duration of post: until 31st March 2018 with possibility of extension
Salary: £38,896 to £47,801 per annum

Research Environment

The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for biomedical 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".

The project will involve close collaboration with a team of experts focusing on metabolomics and cheminformatics. More information about the project: http://www.nactem.ac.uk/empathy/

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

Application form and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=11856

Computational Linguist-Morphology

Employer: Esprit de Corps Corporation (EdC), US
Title: Computational Linguist-Morphology
Specialty: Application of Finite State Transducers (FST) to language processing technologies, development of FST networks for languages, integration of morphological analyzers.
Location: Various US Locations
Deadline: Open
Date posted: June 19, 2016
Contact: Jim Lay

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist-Morphology provides unique expertise with the application of FST to language processing technologies, to include the development of FST networks for languages, the integration of morphological analyzers in multilingual databases/search engines and the development of APIs for managing FST I/O in a multilingual environment.

Qualifications

A master's degree in computer science and/or linguistics, or in a related field; eight (8) years related experience in FST technologies for language applications may be substituted for a master's degree.

Within the last ten (10) years, shall have a minimum of seven (7) years experience programming language networks in one or more FST applications such as XSFT, Stuttgart Finite State Transducer Toolkit, OpenFST, FOMA, or other product with equivalent functional capabilities.

Shall have a minimum of five (5) years experience coding with two (2) or more of the following: C, C++, or Java. Shall also have a minimum of five (5) years experience with Perl and/or Python scripting languages.

Within the last ten (10) years, shall have a minimum of five (5) years experience with linguistics and language structure, language processing technologies, and/or with applying morphologies to multilingual databases/search engines.

Shall have a minimum of five (5) years experience with two (2) or more foreign languages. Shall have demonstrated experience with international encodings, to include converting and handling multilingual encoding, such as UTF-8.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist-Morphology".

Computational Linguist

Employer: Esprit de Corps Corporation (EdC), US
Title: Computational Linguist
Specialty: Integration of NLP Modules, Experimentation with User Interfaces for Analytic Support, Web Services for Querying Extracted Results.
Location: Various US Locations
Deadline: Open
Date posted: June 19, 2016
Contact: Jim Lay

EdC provides linguistic and cultural insight in support of US national interests. We are a woman owned, small business, and an equal opportunity employer.

The Computational Linguist provides unique expertise with the application of computer science to language processing technologies, to include experimentation with, and integration of, unique NLP modules, experimentation with user interfaces for analytic support, web development, and development of web services for querying extracted results.

Qualifications

MA in computer science and/or linguistics, or in a related field (8 years related experience may be substituted for a Master's Degree).

Within the last 10 years shall have a minimum of 7 years experience each programming: C, C++, or Java.

Within the last 5 years, shall have a minimum of 3 years programming with two or more scripting languages (e.g. Perl, Python).

Within the last 10 years, shall have a minimum of 5 years experience with linguistics and language structure, language processing technologies, and/or with applying ontologies to NLP applications.

A minimum of 5 years experience with two or more foreign languages is required.

Shall have demonstrated experience developing software in a Linux environment, with Semantic Web technologies (e.g. RDF, OWL), and with international encodings, to include converting and handling multilingual encoding, such as UTF - 8 is required.

Applicants must be United States citizens able to acquire a personal security clearance.

For more information about the post and for applications: http://edcknowledge.com/join-the-corps-2/, Search and apply for the position titled "Computational Linguist".

Research Associate/Fellow in Machine Learning, University of Sheffield, UK

Employer: University of Sheffield, UK
Title: Research Associate/Fellow
Specialty: ML
Location: Sheffield
Deadline: July 18, 2016
Date posted: June 17, 2016
Contact: Prof. Lucia Specia

We have an opening for a 3-year position of Research Associate or Research Fellow in Machine Learning with applications to Machine Translation and Multimodal Language Processing. This position is funded by the ERC MultiMT project: Multi-modal Context Modelling for Machine Translation, led by Prof. Lucia Specia (www.dcs.shef.ac.uk/~lucia) at the University of Sheffield.

This is a highly interdisciplinary project involving Natural Language Processing, Computer Vision and Machine Learning. Its goal is to devise methods and algorithms to exploit global multi-modal information for context modelling in Machine Translation. The post holder will be expected to investigate new ways to acquire multilingual multi-modal representations, and new machine learning and inference algorithms that can learn from these rich context models to generate high quality translations. In addition, if appointed as Research Fellow, the post holder will be expected to make significant contributions to multi-modal language processing in general, drawing from their experience in Computer Vision and Natural Language Processing.

This is an opportunity to work in a well-connected international team with world-leading reputation in the Natural Language Processing (NLP) research group at the University of Sheffield. The NLP group is well known internationally for its research, and is one of the largest research groups in the area in Europe.

This post offers excellent opportunities for publications, project visits and conference trips. Applicants should have (for Research Associate (RA) and Research Fellow (RF) posts):

PhD (or equivalent work experience) in Computer Science, Statistics, Mathematics or related areas
Significant experience and track record in Machine Learning (RA and RF)
Strong publication record commensurate with career stage (RA and RF)
Experience and strong track record in Computer Vision (desirable for RA, required for RF)
Experience and strong track record in Natural Language Processing (desirable for both RA and RF)
Strong programming experience, particularly in Python or C++. (RA and RF)

This post is fixed-term with a start date from August 2016 (or soon after) and duration of 3 years with possibility of extension to 5 years.

Salary range: £28,847 to £46,414 per annum.

For informal inquiries contact Dr. Lucia Specia: L.Specia@sheffield.ac.uk

For more information about the post and for applications: http://www.shef.ac.uk/jobs, Search and apply for jobs using reference number UOS014018

Doctoral Researcher at UKP/KRITIS, TU Darmstadt

Employer: Technische Universität Darmstadt, Germany
Title: Doctoral researcher
Specialty: NLP
Location: Darmstadt
Deadline: July 10, 2016
Date posted: June 10, 2016
Contact: Prof. Iryna Gurevych

KRITIS ("Kritische Infrastrukturen: Konstruktion, Funktionskrisen und Schutz in Städten"), a new interdisciplinary research training group at Technsiche Universität Darmstadt and funded through the German Research Foundation, is currently seeking a Doctoral Researcher to start on 1 October 2016.

KRITIS researches systems for technical supply and disposal, and for communication and transport, which have become the central nervous system of modern cities. Their disruption can trigger dramatic crises. Modern city infrastructures are increasingly vulnerable not only to external threats (natural disasters, terrorist attacks, and cyber attacks) but also due to their inherent complexity and interdependence. Our aim is to understand and describe these complex systems in their spatial and temporal contexts. This is done in three main research areas:

We want to ensure that technical infrastructures are constructed with the term "critical" in mind. We therefore ask what technical-functional needs, and political and social considerations, are relevant, and how these vary according to the systems' historical and spacial context.
We assume that the complex spatial and temporal arrangements become particularly visible during infrastructural-functional crises. We therefore investigate failures of urban infrastructures, including the conditions contributing to their vulnerability or resilience.
Finally, we ask how we can best organize protection against or preparation for infrastructural-functional crises (so-called "prevention and preparedness").

Research in the training group takes an interdisciplinary approach, with cooperation among the following specialities: space and infrastructure planning, modern and contemporary history, medieval history, philosophy of technology, comparative analysis of political systems, ubiquitous knowledge processing, urban design and planning, rail systems, and computer science for architecture and construction.

In this area, the discipline of ubiquitous knowledge processing (Prof. Iryna Gurevych) is concerned with the interactions between urban infrastructure (e.g., transport, telecommunications), communication in social media, and the relevant spatial and temporal analysis methods from the perspective of adaptive information and text processing. This will be of particular interest to doctoral candidates in the fields of real-time text analysis which can be applied to the early detection of crises, to public opinion-making, or to crisis management through automated evaluation of (online) content such as Twitter.

Possible dissertation topics include:

Social-spatial differences of criticality: location- and class-specific text-analytic mining of argumentation on urban infrastructure in social media
Mining of arguments on urban infrastructure in social media for cascading reactions (i.e., spatio-temporal spread of social media responses to the collapse of urban infrastructure)
Early recognition of vulnerability: Real-time monitoring of information on hazards to urban infrastructure in social media
User expectations on the speed of resolution of infrastructural failures – comparison and analysis of tweets across national boundaries

For discussion or advice on further possible research topics and organizational issues, please contact Prof. Iryna Gurevych at jobs@ukp.informatik.tu-darmstadt.de.

Requirements: The successful applicants should produce a doctoral dissertation related to one or more of the above-noted research priorities. This dissertation should be completed within three years and submitted to one of the departments of Technische Universität Darmstadt. Further information on KRITIS's scientific program and its participating professors will be available soon on the following website: http://www.kritis.tu-darmstadt.de

It is expected that all members of the research training group will be intensively engaged in interdisciplinary cooperation leading to scholarly publications and lectures. To this end, regular participation in seminars, symposia, workshops, etc. is required, which necessitates the doctoral candidates being domiciled in the Rhine-Main area.

Working environment and conditions: KRITIS offers an excellent research infrastructure for doctoral students who wish to carry out their own research project within an innovative and internationally networked program. The members of the group work in shared offices under the support and patronage of participating professors. Among the special services include the possibility of a financed stay abroad in one of four internationally renowned partner universities. We also work with various partners in the private and public sector (companies, government offices, and other organizations) at which candidates can complete internships.

Salaries for doctoral candidates depend on qualifications and experience, and will be in line with the collective agreement for employees at TU Darmstadt (TV-TU Darmstadt). The positions are limited to three years and include, depending on the field, 65% to 100% (full-time) employment.

Your application: TU Darmstadt strives to increase its number of female employees, and as such particularly encourages women to apply. All other things being equal, applicants who have a degree of disability of at least 50% (or the equivalent) will receive preference. Please prepare your application in English or German, and compressed as a single file (up to 6 MB). Applications should be sent by e-mail to Prof. Gurevych at jobs@ukp.informatik.tu-darmstadt.de by 10 July 2016. The application should include a CV listing language skills and overseas experience, scanned copies of academic credentials, and a sketch of up to five pages for a doctoral project.

We look forward to receiving your application!

Doctoral Researcher in NLP at TU Darmstadt and/or University of Heidelberg

Employer: Technische Universität Darmstadt and/or Ruprecht-Karls-University Heidelberg, Germany
Title: Doctoral researcher
Specialty: NLP
Location: Darmstadt and/or Heidelberg, Germany
Deadline: June 30, 2016
Date posted: June 6, 2016
Contact: jobs@ukp.informatik.tu-darmstadt.de

The Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling a position for three years, starting as soon as possible: Doctoral Researcher in Natural Language Processing

The position provides the opportunity to obtain a doctoral degree with an emphasis on the guiding theme D1: Multi-level models of information quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt). A possible research focus of the position is an automatic claim checking with its applications in the domain of computational journalism. However, other suitable topics may be proposed as well. 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 a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are being developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There exists close interaction with end users who prepare textual documents in an online editorial office and therefore profit from the results of AIPHES.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann). Participants at the Ruprecht‑Karls‑University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES emphasizes close contact between students and their advisors, has 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 actively supports 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 able 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 TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht‑Karls‑University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally.

Applications should include:

a motivational letter explaining the applicant’s possible contribution to the guiding theme D1,
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.

They should be submitted until June 30th, 2016 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address jobs@ukp.informatik.tu-darmstadt.de.

Full Professor (W3) for Real-Time Data Analytics at TU Darmstadt

Employer: Technische Universität Darmstadt, Germany
Title: Full Professor
Specialty: Real-Time Data Analytics, with interdisciplinary experience in NLP
Location: Darmstadt, Germany
Deadline: July 6, 2016
Date posted: June 1, 2016
Contact: dekanat@informatik.tu-darmstadt.de (for applications); Iryna Gurevych (for further information)

The Department of Computer Science at Technische Universität Darmstadt invites applications for the position of Full Professor (W3) for Real-Time Data Analytics to be appointed as soon as possible.

We are seeking an outstanding researcher to establish the Department’s new area of real-time data analytics through research and teaching. The main focus of the professorship will be on excellent, method-oriented research, with close links to systems and applications. It is also expected that the successful candidate plays a formative role in cross-department and interdisciplinary research activities; the bridge to engineering departments of the university, in particular to the department of mechanical engineering, is particularly important in this respect.

Relevant topics include real-time data analytics on dynamic data streams of various types (including sensor data, text, and images), adaptive information processing and integration, and interactive machine learning. Further topics of research include data analysis and its applications in the mining of data and data streams of heterogeneous nature, quality, and quantity and in the support of decision-making processes, decision management, and the creation of self-organizing systems. Example application areas include automotive engineering, transport and logistics, and cognitive information processing for information validation on the Web.

We expect applicants to have interdisciplinary experience in the use of data analysis methods in cooperation with scientists from other fields as well as with industrial partners. The professorship is intended to strengthen those profile areas of TU Darmstadt in which real-time requirements and interactivity play a central role, such as the Internet and digitization and their associated research fields such as data science, Industry 4.0, autonomous driving, smart transport and energy networks, smart buildings, but also natural language processing, cognitive science, and cybersecurity.

In addition to an outstanding academic CV, applicants must demonstrate a strong commitment to teaching computer science (incl. foundational courses) at the Bachelor’s and Master’s levels. A willingness to participate in academic self-administration is also expected.

Technische Universität Darmstadt is an autonomous university with a wide-ranging excellence in research, an interdisciplinary profile, and a strong focus on engineering as well as on information and communication technologies. Our Department is one of the leading national Computer Science departments and regularly ranked in the top group in national rankings.

Employment will be on a non-tariff basis, with qualification-based compensation based on the German W-level salary. Applicants who are already professors classed as German civil servants (Beamter) can retain this status. Employment regulations from §§61 and 62 of the Hessisches Hochschulgesetz apply.

Technische Universität Darmstadt is committed to increase the proportion of female scientific staff and therefore particularly encourages women to apply. All other things being equal, we will give preference to candidates with a degree of disability of at least 50 (or the equivalent).

Applications, including all the usual supporting documents, should be submitted to the Dean of the Department of Computer Science, Technische Universität Darmstadt, Hochschulstr. 10, 64289 Darmstadt, Germany, e-mail dekanat@informatik.tu-darmstadt.de. Please quote reference No. 244.

For further information, please contact Prof. Dr. Iryna Gurevych, tel. [+49] (0)6151 16 25290, gurevych@ukp.informatik.tu-darmstadt.de

NLP Postdoctoral Researcher at UNSW, Australia

Employer: The University of New South Wales, Australia
Title: Research Associate/Fellow
Specialty: NLP, Knowledge Graph
Location: Sydney, Australia
Deadline: June 6th, 2016
Date posted: May 14th, 2016
Contact: Wei Wang (weiw@cse.unsw.edu.au)

POSITION DESCRIPTION

A postdoctoral position is available in School of Computer Science and Engineering at the University of New South Wales, Australia. The successful candidate will work with Dr. Wei Wang on utilizing Natural language processing (NLP), data mining, and semantic web to develop novel algorithms, tools and methods for constructing and maintaining domain-specific knowledge graphs from vast amount of unstructured/semi-structured data sources. This position is funded by Data to Decisions Cooperative Research Centre (D2D CRC), which was established in 2014 with a grant of A$25 million from the Australian Government, researchers and industry to provide the Big Data capability resulting in a safer and more secure nation and a sustainable Big Data workforce for Australia.

POSITION REQUIREMENTS

Essential criteria:

Proven ability to undertake research in a relevant research area (e.g. natural language processing, data mining, knowledge graph) at an international level, as evidenced by research output.
Excellent programming skills (java or C/C++).
A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, KDD, IJCAI, AAAI, ICML, NIPS, SIGMOD, VLDB) and journals.
Proven ability to communicate specialist ideas clearly in English using written media.
Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
A PhD in Computer Science or closely related area, or equivalent experience. Candidates with pending degrees who will successfully defend their dissertations by August 1, 2016 will also be considered.

Desirable criteria:

Knowledge of statistical natural language processing.
Knowledge of knowledge graph construction and applications.
Experience with analysing large text corpora using a high-performance computing environment.
Experience with python/R

SALARY RANGE AND CONTRACT LENGTH

Research Associate: A$86,438 - A$92,453 per year (plus employer superannuation)
Research Fellow: A$97,090 - A$114,454 per year (plus employer superannuation)

This is a fixed term position of one year with further renewal up to January 2019, subject to funding.

ENVIRONMENT

The School of Computer Science and Engineering in UNSW, located in Sydney, is one of the largest and leading computing schools in Australia. It offers both undergraduate and postgraduate programs in Software Engineering, Computer Engineering, Computer Science and Bioinformatics, as well as a number of combined degrees with other disciplines. It attracts excellent students who have an outstanding record in international competitions (such as Robocup).

APPLICATION

Please send a statement of interest, an academic CV (in pdf format) to Wei Wang (weiw@cse.unsw.edu.au) with the subject line starting with "[CRCPostdoc]". For informal queries, please send an email to weiw@cse.unsw.edu.au.

Computer Science Postdoctoral Researcher in Natural Language Processing for Social Science

Employer: University of Pennsylvania
Title: Postdoctoral Researcher
Specialty: NLP
Location: Philadelphia, PA
Deadline: May 15th, 2016
Date posted: April 26th, 2016
Contact: Professor Lyle Ungar: ungar@cis.upenn.edu

Summary

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression. The primary responsibility will, of course, be producing top-quality published research in areas of interest to you and the WWBP team. You will be expected to lead multiple peer-reviewed publications each year and to support (as secondary author and technical expert) many more publications. As part of that latter process, we would like you to serve as the equivalent of a “Chief Technology Officer” of the WWBP, providing technical oversight and mentoring to the programmers and data scientists who build and maintain our software and hardware infrastructure, and who do the vast bulk of the data collection and analysis for the WWBP.

The ideal candidate will have research experience in computational linguistics and applied machine learning. They will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwp.org for example publications.

Approximate Start Date: Summer 2016

How to Apply

Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

Research Scientist, Natural Language Processing

Employer: EMR.AI Inc.
Title: Research Scientist
Specialty: NLP
Location: San Francisco, CA
Deadline: May 20th, 2016
Date posted: April 21th, 2016
Contact: David Suendermann-Oeft (david@emr.ai)

Headquartered in San Francisco, CA, EMR.AI Inc. is a leading provider of AI solutions to the medical sector. EMR.AI transforms unstructured information, in form of written, spoken, or typed reports, clinical test results, and radiographs into international standard codes saved in common EMR systems. The wealth of discrete medical data provided through this transformation in conjunction with EMR.AI's suite of medical analytics solutions enables stakeholders, practitioners, researchers, health providers, and policy makers to obtain a comprehensive picture of the available medical data in their organization.

Summary

EMR.AI Research & Development has openings for Research Scientists in the field of Natural Language Processing in our Downtown San Francisco offices. Scientists will work on projects spanning a variety of tasks including the semantic interpretation of written and spoken medical reports, the design of language models for a variety of NLP tasks and speech recognition, the summarization of written and spoken language in the medical domain, the incorporation of lexica, ontologies, relational databases, and other sources of structured and unstructured knowledge sources into EMR.AI’s medical NLP tool set, and others.

This is a unique opportunity to be part of a cutting-edge R&D team in the epicenter of the world’s AI tech industry with true impact on medical research.

Responsibilities

Process huge corpora of medical textual documents to perform syntactic and semantic analyses and train, tune, and test probabilistic and other data-driven models, using both existing tool benches, proprietary and open-source, as well as self-developed algorithms and techniques.
Produce high-quality programs and scripts to embed scientific algorithms into effective prototypes and demos to be shared with EMR.AI’s leadership team, its customers, partners, and vendors.
Create and document technological innovations by means of patent disclosures, scientific publications, media alerts, and other channels.
Work closely with EMR.AI’s speech processing team and its software engineering division to produce innovative and effective solutions for a range of AI products and services in the medical domain.
Represent the R&D division in communications with EMR.AI’s leadership team, its customers, partners, and vendors at meetings, conventions, and other venues as well as in written statements.

Skills

PhD in computer science, computational linguistics, electrical engineering, or a related field. Experience in the state of the art of NLP and its standard tools is required. Candidates must be very skilled in programming and must have a proven scientific track record. They must be excellent team players, including with distributed teams, and strong in oral and written English communication. Knowledge of the US medical sector is desirable, so are experience with start-ups and strong scientific connections throughout the Bay Area and beyond.

Benefits

EMR.AI offers competitive salaries, an excellent benefit package, and a stimulating work environment in the heart of San Francisco with manifold local, domestic, and international commercial and academic partnerships.

How to Apply

Please send your application documents to jobs@emr.ai

Contact

EMR.AI Inc.

90 New Montgomery St

San Francisco, CA 94105, USA

phone: +1-415-200-8535

e-mail: info@emr.ai

www: http://emr.ai

Research Scientist on Natural Language Processing

Employer: IBM Research Ireland
Title: Research Scientist
Specialty: NLP, Machine Learning
Location: Dublin
Deadline: May 5th, 2016
Date posted: April 11th, 2016
Contact: link to application page

Ireland is accepting applications for full-time researchers in the area of natural language processing. The ideal candidate will have a PhD degree in computational linguistics or in computer science with a specialisation in Natural Language Processing (NLP). Prior experience in the area of text analytics with information extraction, information retrieval and machine learning are highly desirable, and experience with corpus linguistics or natural language understanding are a plus. Strong programming skills in Java are required.

The successful research candidate must have demonstrated ability to define research plans, carry out leading research, and publish research results through professional journals, academic conferences, and patents. As a researcher you will be expected to organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions have a significant impact.

Postdoc Researcher on Vision and Language

Employer: University of Liverpool
Title: Postdoc
Specialty: Computer Vision with an interest in human vision/language behaviour
Location: Liverpool UK
Deadline: April 20th, 2016
Date posted: March 28, 2016
Contact: link to application page

Applications are invited for a Postdoctoral Research associate position to study the relationship between visual/spatial representations and language. Language is often used to describe the visual world and this is done by labelling objects in the world with various categories such as roles (e.g., agent, goal). There is now a large infant social cognition literature which shows how categories like agents and goals may be identified using simple visual heuristics. In this post, we will strengthen these links by experimentally manipulating visual cues to see how they influence language choices in adults and children. In addition to the experimental study of these links, we will also develop computational models that use computer vision techniques to track the interaction of objects in videos and link these visual codes to the descriptions of the actions. We are most interested in people with a computational background who have an interest in human vision/language processing.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the ESRC International Centre for Language and Communicative Development (LUCID, http://www.lucid.ac.uk/), a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster. You should have (or be about to obtain) a PhD in the field related to Computer Science, Psychology, Cognitive Science, or related disciple. The post is available for 3 years.

Postdoc Positions at Johns Hopkins University

Employer: Johns Hopkins University
Title: Postdoc
Specialty: NLP, Machine Learning, Social media analysis for computational social science, health/medicine
Location: Baltimore, MD
Deadline: March 31, 2016
Date posted: March 1, 2016
Contact: http://www.clsp.jhu.edu/employment-opportunities/

The Center for Language and Speech Processing (CLSP) at the Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available for the coming year. Possible research topics include:

Trend Detection in Social Media
Broadly Multilingual Learning of Morphology
Stochastic approximation algorithms for subspace and multi-view representation learning
Analysis of large-scale time series data in healthcare

Host faculty include: Mark Dredze, David Yarowsky, Jason Eisner, Sanjeev Khudanpur, Benjamin Van Durme, Raman Arora, Suchi Saria

Associate/Full Professor in Computational Linguistics at Stony Brook University

Employer: Department of Linguistics, Stony Brook University
Title: Associate/Full Professor
Specialty: Computational Linguistics
Location: New York, USA
Deadline: ~~March 14, 2016~~ May 1, 2016
Date posted: February 17, 2015
LinguistList Announcement: http://linguistlist.org/issues/27/27-861.html
Contact: Lori Repetti lori.repetti@stonybrook.edu

Job Description

The Department of Linguistics at Stony Brook University invites applications for a tenured appointment in computational linguistics, beginning Fall 2016 or Fall 2017. This is a senior appointment at the Associate or Full Professor level.

The successful candidate will have a PhD (preferably in Linguistics or Computer Science), an outstanding research profile in Computational Linguistics (ideally in areas that complement existing departmental strengths), a strong track record in grant acquisition, and teaching and advising experience at the graduate and/or undergraduate levels.

They will also be expected to

Contribute to the ongoing development of the Department's degree programs in linguistics and computational linguistics,
Initiate new collaborations and expand existing ones with other computational research groups on campus, in particular in the Department of Computer Science and the Institute for Advanced Computational Science,
Strengthen the department's connections with the local IT industry.

Salary will be commensurate with education and experience.

Application

Applications must be submitted via AcademicJobsOnline: https://academicjobsonline.org/ajo/jobs/6983

Research Scientist at the Allen Institute for Artificial Intelligence

Employer: Allen Institute for Artificial Intelligence (AI2)
Title: Research Scientist
Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
Location: Seattle, WA
Deadline: N/A, we are hiring throughout 2016
Date posted: 02/09/2016
Contact information: ai2-info@allenai.org
Website: http://allenai.org/jobs.html

Job Description

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

Position Summary

AI2 currently has projects in the following areas:

Language and Vision
Information extraction and semantic parsing
Question answering
Language and reasoning
Machine learning and theory formation
Semantic search
Natural language processing
Diagram understanding
Visual knowledge extraction and visual reasoning

And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

Applicant

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Why AI2

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

Application Process

Visit our website for more information: http://allenai.org/jobs.html

Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN

Employer: SYSTRAN
Title: Software Engineer
Topics: Machine Learning, Natural Language Processing, Machine Translation
Location: San Diego
Deadline: Open until filled
Date Posted: January 29, 2016
Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

Key Qualifications

Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
Good algorithmic knowledge of machine learning
Experience writing and debugging software
Strong communications skills
Ability to work well as part of a team
Fluent in English.
Fluent in Chinese is a plus

Education and Experience

MS or Ph D in Computational Linguistics / Computer Science or relevant field.
2+ years work experience preferred

Benefits

Successful candidates will be offered a competitive salary based on their qualifications and experience.

Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee

Employer: University of Dundee
Title: Lecturer/Senior Lecturer/Reader
Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
Location: Dundee, UK
Deadline: 27 February 2016
Date Posted: 12 January 2016
Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

Summary of Job Purpose and Principal Duties

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

Job Summary

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

Contribute to the ongoing research in one of the three research groups described above.
Contribute to the generation of external research funding.
Publish in high quality research journals and major international conferences.
Teach at undergraduate and post-graduate level.
Supervise students at all levels (honours and MSc projects, PhD).
Undertake administrative duties.

Application Requirements

In addition to the online form, applicants must include with their application:

Cover letter outlining fit to role.
Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.

Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory

Employer: US Naval Research Laboratory
Title: Postdoctoral Research Fellow
Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
Location: Washington, DC
Deadline: Open until filled
Date Posted: January 20, 2016
Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

Research focus: The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

Supervisor: Sunny Khemlani, PhD

Key qualifications: A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance.

Program and compensation: The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

To apply: Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.

Internship positions available at Juji, Inc.

Employer: Juji, Inc.
Title: Intern
Location: Saratoga, CA
Deadline: open until all the positions are filled
Date Posted: January 14, 2016

Description: Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.

Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

Qualifications Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

To apply: Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.

Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School

Employer: Brigham and Women's Hospital / Harvard Medical School
Title: Postdoctoral Research Fellow
Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
Location: Boston, MA
Deadline: Open until filled
Date Posted: January 8, 2016
Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

Research focus: the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

Supervisor: Alexander Turchin, MD, MS, FACMI

Required skills: experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

Education: PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

Available: Immediately.

Compensation: according to NIH (NRSA) stipend levels.

To apply: send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.