ACL Wiki - User contributions [en]

Employment opportunities, postdoctoral positions, summer jobs

2018-12-06T22:46:12Z

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== Research Scientist Interns at Adobe Research, San Jose, California ==
*Employer: Adobe Systems Incorporated
*Title: Research Scientist Intern
*Speciality: NLP, machine learning, dialog, and question answering.
*Location: San Jose, CA, USA
*Deadline: March 1, 2019
*Date posted: December 06, 2018
*Contact: bui@adobe.com

We are looking for Master and/or Ph.D. students with a strong background in NLP, machine learning, dialog, and/or question answering to work on our Creative Assistant project and Document Question Answering project. See our recent publications here for further details: https://sites.google.com/site/trungbuistanford/Home/publications

== Assistant Professor Position at The University of Memphis ==

* Employer: University of Memphis
* Rank or Title: Assistant Professor
* Specialty: ML/NLP with particular interest in educational technologies
* Location: Memphis, Tennessee
* Deadline: 1/7/19 but applications accepted until search completed
* Date Posted: 11/28/18
* Contact email: cconnor2@memphis.edu
* Application link: [https://workforum.memphis.edu/postings/20504]

The Department of Computer Science at the University of Memphis is seeking candidates for an Assistant Professor position beginning Fall 2019. The candidate’s research will be jointly supported by the Department of Computer Science and the Institute of Intelligent Systems (IIS). Focus area for this position include Machine Learning, Data Mining, and Big Data. Candidates whose research areas complement the language & discourse or learning focus area of the IIS are particularly encouraged to apply. Candidates from minority and underrepresented groups are highly encouraged to apply. Successful candidates are expected to develop externally sponsored interdisciplinary research programs, teach both undergraduate and graduate courses and provide academic advising to students at all levels.

Applicants should hold a PhD in Computer Science, or related discipline, and be committed to excellence in both research and teaching. Salary is highly competitive and dependent upon qualifications.

The Department of Computer Science ([http://www.cs.memphis.edu]) offers B.S., M.S., and Ph.D. programs as well as graduate certificates in Data Science and Information Assurance, and participates in an M.S. program in Bioinformatics (through the College of Arts and Sciences). The Department has been ranked 55th among CS departments with federally funded research. The Department regularly engages in large-scale multi-university collaborations across the nation. For example, CS faculty led the NIH-funded Big Data "Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K)" and the "Center for Information Assurance (CfIA)".

The Institute for Intelligent Systems consists of 54 faculty members across 14 departments including Communication Sciences and Disorders, Computer Science, Engineering, Education, Linguistics, Philosophy and Psychology. The IIS offers a graduate certificate in Cognitive Science, a minor in Cognitive Science, and is affiliated with BA and MS programs in other departments. The IIS receives $4-5 million in external awards per year from federal agencies such as NSF, IES, DoD, and NIH. Further information about the Institute for Intelligent Systems can be found at [http://iis.memphis.edu].

Known as America’s distribution hub, Memphis ranked as America’s 6th best city for jobs by Glassdoor in 2017. Memphis metropolitan area has a population of 1.3 million. It boasts a vibrant culture and has a pleasant climate with an average temperature of 63 degrees.

Screening of applications begins immediately. For full consideration, application materials should be received by January 7, 2019. However, applications will be accepted until the search is completed.

To apply, please visit [https://workforum.memphis.edu/postings/20504]. Include a cover letter (please include a reference to this position as “CS-IIS”), curriculum vitae, statement of teaching philosophy, research statement, and three letters of recommendation. Direct all inquiries to Corinne O’Connor (cconnor2@memphis.edu).

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

== Research Associate in Text Mining, University of Manchester, UK ==

* Employer: University of Manchester
* Title: Research Associate in Text Mining
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: January 3, 2019
* Date posted: November 27, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the Research Associate in Text Mining, which is tenable initially for 12 months starting as soon as possible. The post is part of the Discovering Safety Programme funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. The purpose of this project is to use a combination of text mining and machine learning methods for retrieving and organising textual information pertinent to incident and inspection reports for search and risk classification.

Post Objectives:

1. To develop a search system based on clustering methods.

2. To contribute to development of entity linking for the application.

3. To develop a classification system for risk assessment.

You should have a PhD or equivalent in Computer Science with emphasis in Text Mining and Machine Learning in particular clustering and classification. Experience in named-entity recognition, entity linking and terminology extraction will be desirable. Appropriate security clearance may be required for the successful applicant.

* Salary : £32,236 - £39,609 per annum according to experienc
* Hours Per week: Full Time
* Contract Duration : 01 February 2019 until 31 January 2020

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16445

== Research Fellow in Natural Language Processing and Text Mining, University of Manchester, UK ==

* Employer: University of Manchester
* Title: Research Fellow in Natural Language Processing and Text Mining
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: January 3, 2019
* Date posted: November 23, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

We invite applications for the above position to increase the University of Manchester's capacity in Natural Language Processing and Text Mining, which is available immediately for an initial 5 year period leading to an open-ended academic position.

The Research Fellow will further strengthen the research profile of the text mining research group at the University of Manchester and the National Centre for Text Mining. We are looking for an outstanding candidate that has a vision for making a significant impact on natural language processing, text mining research and its applications. The Fellow will be part of the Discovering Safety Programme project funded by Lloyds Register Foundation in collaboration with the Health and Safety Executive. This post is one of the key first posts to be appointed in the Thomas Ashton Institute for Risk and Regulatory Research.

You will join the vibrant research environment of the Text Mining research group at the School of Computer Science and will be a member of the National Centre for Text Mining which is developing cross cutting and innovative approaches for text mining applications using NLP and machine learning.

As a member of the Thomas Ashton Institute, the Fellow will join, and help establish, a multidisciplinary centre of excellence and expertise, which offers an exciting opportunity for ground breaking and excellent research to inform both government regulatory regimes and industry practice.

* Salary : £40,792 to £50,132 per annum dependent upon experience
* Hours Per week: Full Time
* Contract Duration : Starting Immediately until 31 December 2023

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16448

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Interactive Text Analysis and Natural Language Processing Tools
* Location: Darmstadt
* Deadline: December 15, 2018 (or until filled)
* Date posted: November 22, 2018
* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

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

to strengthen the group’s profile in the areas of ''Interactive Text Analysis'' and ''Natural Language Processing Tools''. The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with a rapidly developing focus on Interactive Machine Learning. Besides, we provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities and collaborate with both academic and industrial partners.

We ask for applications from candidates in Computer Science with a specialization in Semantic Web Technologies and either Information Retrieval or Natural Language Processing, preferably with expertise in research and development projects, and strong communication skills in English and German.

The successful applicant will work on research and development for interactive text annotation by end-users (researchers, analysts, etc.). This includes neural network-based methods for knowledge graph construction and completion, interactive sequence labeling recommender systems, or semantic information retrieval. We integrate the results in a real-life collaborative text annotation software for large-scale interactive corpus analysis.

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. learning-to-rank, clustering, etc.), experience with information retrieval systems (e.g. Lucene, Solr, ElasticSearch) and relational databases (SQL), semantic web technologies (e.g. RDF, OWL, SPARQL), and strong programming skills especially in Java. Experience with neural network architectures (e.g. knowledge-base embeddings) and demonstrable engagement in open- source projects are a strong plus.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Natural language processing
* Location: Darmstadt
* Deadline: December 15, 2018 (or until filled)
* Date posted: November 22, 2018
* Contact: https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

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

The UKP Lab is an internationally recognized research institute with about 35 team members. We work on various aspects of ''Natural Language Processing'' (NLP), with an emphasis on semantic text analysis and generation, argument mining, and interactive machine learning. Besides, we have a strong profile in deep learning for NLP, construction of large-scale benchmarks, or knowledge graphs. We collaborate with a wide range of both academic and industrial partners.

We are looking for candidates in Computer Science with a specialization in Natural Language Processing, preferably with expertise in research and development projects, prior publication experience, and strong communication skills. The research topics of the position may include: NLP in low-research settings, argument mining and retrieval, multimodal content processing, privacy-enhanced NLP as well as machine learning for NLP (deep reinforcement learning, neural network architectures). The successful applicant will work on research and development as part of a team in one of the areas above. We disseminate the results in top venues of the field and as free research software and datasets. The lab offers highly attractive options for personal growth and career development at all levels of the scientific career. Upon interest, additional qualifications in teaching and project management can be acquired.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research focus "Data Science” and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning, text mining, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. In 2018, Darmstadt has achieved the first place in the category Cities of the Future in a ranking of German cities.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please apply under https://recruitment.ukp.informatik.tu-darmstadt.de/ukp/ by December 15, 2018. The positions are open until filled. Later applications may be considered if the position is still open.

== Assistant Professor, Department of Linguistics and Translation, University of Montreal ==

* Employer: Department of Linguistics and Translation, University of Montreal
* Title: Assistant Professor (tenure-track)
* Specialty: Computational linguistics
* Location: Montreal, Canada
* Deadline: December 13, 2018
* Date posted: November 10, 2018
* Contact: Mireille Tremblay <mireille.tremblay.4@umontreal.ca > and https://ling-trad.umontreal.ca

The Département de linguistique et de traduction is seeking applications for a full-time tenure-track position at the rank of Assistant Professor in computational linguistics/natural language processing.

Responsibilities

The appointed candidate will be expected to teach at all three levels of the curriculum, supervise graduate students, engage in ongoing research and publication, and contribute to the academic life and reputation of the University. This person will play an important role in the development of the “Computational Linguistics” branch of our curriculum and in establishing cross-disciplinary collaborations within and outside of the University.

Requirements

* Ph.D. in linguistics, computer science, or a related field.
* Education in both linguistics and computer science, with a strong background in core linguistics.
* Demonstrated interest in using computational techniques in the study of language.
* Ability to teach in at least one of the core domains of linguistics.
* Excellent publication track record in computational linguistics.
* University teaching experience.
* Sufficient knowledge of written and spoken French.

Deadline: until December 13, 2018 inclusively

Treatment: Université de Montréal offers competitive salaries and a full range of benefits.

Starting date: On or after August 1st, 2019

Application

The application must include the following documents:
* a cover letter
* a curriculum vitæ
* copies of recent publications and research

Three letters of recommendation are also to be sent directly to the department chair by the referees.

Application and letters of recommendation must be sent to the chair of the Département de linguistique et de traduction at the following address:

Mireille Tremblay, directrice 
Département de linguistique et de traduction 
Faculté des arts et des sciences 
Université de Montréal 
C.P. 6128, succursale Centre-ville 
Montréal (QC) H3C 3J7 
Canada

Application and letters of recommendation may also be sent by email at the following address: mireille.tremblay.4@umontreal.ca

For more information about the Department, please consult its website at http://ling-trad.umontreal.ca

Université de Montréal is a Québec university with an international reputation. French is the language of instruction. To renew its teaching faculty, the University is intensively recruiting the world’s best specialists. In accordance with the institution’s language policy, Université de Montréal provides support for newly-recruited faculty to attain proficiency in French.

The Université de Montréal application process allows all regular professors in the Department to have access to all documents unless the applicant explicitly states in her or his cover letter that access to the application should be limited to the selection committee. This restriction on accessibility will be lifted if the applicant is invited for an interview.

Through its Equal Access Employment Program, Université de Montréal invites women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to apply. During the recruitment process, our selection tools will be adapted to meet the needs of people with disabilities who request it. Be assured of the confidentiality of this information.

Université de Montréal is committed to the inclusion and the diversity of its staff and also encourages people of all sexual and gender identities to apply.

We invite all qualified candidates to apply at UdeM. However, in accordance with immigration requirements in Canada, please note that priority will be given to Canadian citizens and permanent residents.

== Software Engineer for Text Mining Applications at the University of Manchester ==

* Employer: National Centre for Text Mining, School of Computer Science, University of Manchester
* Title: Software Engineer
* Specialty: Text Mining
* Location: Manchester, UK
* Deadline: November 25, 2018
* Date posted: October 25, 2018
* Contact: Sophia Ananiadou <sophia.ananiadou@manchester.ac.uk>

Applications are invited for a Software Engineer post (full time) for a period of 5 years

The successful candidate will be part of the National Centre for Text Mining (http://www.nactem.ac.uk/) which is hosted by the School of Computer Science, joining a strong and dynamic team in text mining. The National Centre for Text Mining provides next-generation text mining services to the community. We use natural language processing techniques to build advanced search systems in a number of domains. We are seeking a self-motivated, creative and experienced software engineer (must have substantive post graduation experience) to enhance our team expertise particularly in the areas of wrapping text mining analysis workflows, software development for search engines bringing the benefits of text mining to end users, Web services, integrating text mining with knowledge bases, cloud deployment of services and advanced user interfaces.

Essential skills and experience include: Linux/unix, extensive experience of software design and development gained in a professional software development environment, experience of producing distributed solutions and of working with large datasets, Java or C++ with XML technologies, REST/SOAP Web services, knowledge of cloud/cluster computing/SaaS/PaaS, Maven.

* Salary : £40,792 to £50,132 per annum dependent upon experience
* Hours Per week: Full Time
* Contract Duration : Starting 1 January 2019 for 5 years

Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16308

== Assistant Professor, Department of Linguistics, University of Florida ==

* Employer: Department of Linguistics, University of Florida
* Title: Tenure-track Assistant Professor
* Specialty: computational language science
* Location: Gainesville, FL 32601
* Deadline: November 18, 2018
* Date posted: October 18, 2018
* Contact: Stefanie Wulff <swulff@ufl.edu> and https://apply.interfolio.com/56557

The University of Florida invites applications for a tenure-track appointment in computational language science at the rank of assistant professor, effective August 16, 2019. This is a 9-month position. Applicants are expected to have a Ph.D. in linguistics, computer science, or a closely-related field. Candidates should have an active research agenda studying language from a computational perspective. Specialization is open, including but not limited to sociolinguistics, neuro/psycholinguistics, corpus linguistics, and/or language documentation. UF Linguistics seeks to train the next generation of linguists who are comfortable integrating and evaluating computational approaches in their research. To this end, ability to teach computationally-oriented courses is required. Candidates must hold the Ph.D. by the starting date.

The successful candidate will be expected to 1) maintain an active research agenda, 2) pursue external research funding, 3) teach two courses per semester at the undergraduate and/or graduate level, 4) provide service to the department, the university, and the profession, and 5) seek collaborations within the department as well as with other units on campus such as the UF Data Science and Information Technology Center, the UF Informatics Institute, or the McKnight Brain Institute.

The Department is committed to creating an environment that affirms diversity and inclusion across a variety of dimensions, including ability, class, ethnicity/race, religion and/or cultural background, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities

Salary is competitive, commensurate with qualifications and experience, and includes a full benefits package.

The Linguistics Department at the University of Florida is a vibrant and congenial unit consisting of 11 full-time faculty and 15 affiliated faculty in the departments of Anthropology; Languages, Literatures, and Cultures; Spanish and Portuguese; and the Dial Center for Written & Oral Communication. We offer a B.A., M.A. and Ph.D. in Linguistics, as well as an undergraduate minor and undergraduate certificate in TESL and a graduate certificate in Second Language Acquisition and Teaching. We have faculty expertise in a wide range of linguistic subfields, and particular strengths in the areas of bilingualism, language documentation, psycholinguistics, sociolinguistics, and African linguistics. Please see our website, lin.ufl.edu, for more information about the department.

For full consideration, applications must be submitted online at https://apply.interfolio.com/56557 and must include: (1) a brief cover letter, (2) a statement of teaching and research interests, (3) a CV, (4) 1-3 sample publications, (5) the names and email addresses for three references, and (6) representative teaching evaluations if available. After initial review, letters of recommendation will be requested for selected applicants. Review of applications will begin on 18 November 2018 and will continue until the position is filled.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The final candidate will be required to provide an official transcript to the department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

The University of Florida is an Equal Opportunity Employer dedicated to building a broadly diverse and inclusive faculty and staff. The University of Florida invites all qualified applicants, including minorities, women, veterans, and individuals with disabilities to apply. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.

== Postdoctoral Researcher, Cognitive AI Lab, University of Arizona ==

* Employer: School of Information, University of Arizona
* Title: Postdoctoral Research Associate
* Specialty: natural language processing
* Location: Tucson, AZ, USA
* Deadline: Open until filled
* Date posted: October 15, 2018
* Contact: Peter Jansen <pajansen@email.arizona.edu>

Postdoctoral Research Associate I 
https://uacareers.com/postings/31213

Position Summary 
The Cognitive Artificial Intelligence Laboratory ( http://www.cognitiveai.org ) in the School of Information at the University of Arizona invites applications for a Postdoctoral Research Associate for projects specializing in natural language processing and explanation-centered inference.

Natural language processing systems are steadily increasing performance on inference tasks like question answering, but few systems are able to provide explanations describing why their answers are correct. These explanations are critical in domains like science or medicine, where user trust is paramount and the cost of making errors is high. Our work has shown that one of the main barriers to increasing inference and explanation capability is the ability to combine information – for example, elementary science questions generally require combining between 6 and 12 different facts to answer and explain, but state-of-the-art systems generally struggle integrating more than two facts together. The successful candidate will combine novel methods in data collection, annotation, representation, and algorithmic development to exceed this limitation in combining information, and apply these methods to answering and explaining science questions.

A talk on our recent work in this area is available here: https://www.youtube.com/watch?v=EneqL2sr6cQ

Minimum Qualifications
* A Ph.D. in Computer Science, Information Science, Computational Linguistics, or a related field.
* Demonstrated interest in natural language processing or machine learning techniques.
* Excellent verbal and written communication skills

Duties and Responsibilities
* Engage in innovative natural language processing research
* Write and publish scientific articles describing methods and findings in high-quality venues (e.g. ACL, EMNLP, NAACL, etc.)
* Assist in mentoring graduate and undergraduate students, and the management of ongoing projects
* Support writing grant proposals for external funding opportunities
* Serve as a collaborative member of a team of interdisciplinary researchers

Preferred Qualifications
* Knowledge of computational approaches to semantic knowledge representation, graph-based inference, and/or rule-based systems
* Strong scholarly writing skills and publication record

Full Posting/To Apply 
https://uacareers.com/postings/31213

== Temporary lecturer, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara
* Title: Lecturer
* Specialty: computational linguistics and/or natural language processing and general linguistics
* Location: Santa Barbara, CA 93106
* Deadline: October 24, 2018
* Date posted: September 27, 2018
* Contact: https://recruit.ap.ucsb.edu/apply/JPF01317

The Department of Linguistics at the University of California, Santa Barbara invites applications for a qualified temporary Lecturer to teach course(s) in computational linguistics and potentially general linguistics. To learn more about the department, see: http://www.linguistics.ucsb.edu/

The Lecturer will teach an advanced undergraduate course in computational linguistics in the Winter 2019 or Spring 2019 quarter. The successful candidate may also have the opportunity to teach other courses that support the department’s undergraduate programs, including classes currently listed in the UCSB general catalog and/or special-topic courses proposed by the applicant; these courses may be offered in Winter 2019 or Spring 2019.

Applicants must possess a Master’s Degree in Linguistics and have at least one year teaching college-level linguistics courses. A Ph.D. in Linguistics is preferred but not required. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

To apply, please go to the following link: https://recruit.ap.ucsb.edu/apply/JPF01317. Applicants should submit a curriculum vitae and a cover letter stating their qualifications for teaching computational linguistics as well as any additional courses they may be interested in teaching. Applicants should also provide contact information for three references. To ensure full consideration, all application materials should be received by 10/24/18; however, the position is open until filled.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Assistant Professor, Department of Linguistics, University of California, Santa Barbara ==

* Employer: Department of Linguistics, University of California, Santa Barbara
* Title: Assistant Professor
* Specialty: computational linguistics and/or natural language processing
* Location: Santa Barbara, CA 93106
* Deadline: November 9, 2018
* Date posted: September 27, 2018
* Contact: https://recruit.ap.ucsb.edu/apply/JPF01310 and complingsearch@linguistics.ucsb.edu

The Linguistics Department of the University of California, Santa Barbara seeks to hire a linguist who is a specialist in computational linguistics and/or natural language processing. The appointment will be a tenure-track position at the Assistant Professor level, effective July 1, 2019.

The successful candidate will have an active research program in computational linguistics and/or natural language processing and will have a record of participation in the computational linguistics/NLP community. Proven expertise in machine learning including word embeddings/vector space semantics is required, as is expertise in using computational linguistics methods to address theoretical and/or applied questions. Capacity to engage with the distinctive theoretical orientation of the department is expected. We welcome applicants with the ability to contribute to departmental foci, such as corpus linguistics, language and cognition, language acquisition, and/or less studied languages. We also encourage applicants who have the potential to interact with colleagues and students across disciplinary boundaries at UCSB.

The successful candidate will demonstrate commitment to and ability in graduate and undergraduate teaching and will be expected to teach a range of graduate and undergraduate courses in computational linguistics, including those with relevance to industry, as well as to contribute to the department’s undergraduate major with an emphasis in Language and Speech Technologies. For more information on the department, see www.linguistics.ucsb.edu.

The minimum requirement to be considered as an applicant is the completion of all requirements for a Ph.D. in linguistics or a closely-related field except the dissertation (or equivalent) at the time of application. A Ph.D. in linguistics or a closely-related field is expected by the time of appointment. Review of applications will begin after Friday, November 9, 2018. The position will remain open until filled.

Applicants must complete the online form at https://recruit.ap.ucsb.edu/apply/JPF01310 and must submit online the following in PDF format: letter of application, statement of research interests, teaching statement, curriculum vitae, and 2 writing samples. Applicants are also encouraged to submit an optional statement on contributions to diversity.

Applicants should request 3-5 letters of reference to be sent directly to https://recruit.ap.ucsb.edu/reference. Inquiries may be addressed to the Search Committee at complingsearch@linguistics.ucsb.edu. Initial screening of selected applicants will be conducted via Zoom. Our department has a genuine commitment to diversity, and is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

== Postdoctoral Fellow, Quantitative Criticism Lab, University of Texas at Austin ==

* Employer: Quantitative Criticism Lab, University of Texas at Austin
* Title: Postdoctoral Fellow
* Specialty: Digital humanities and natural language processing
* Location: Austin, TX or remote
* Deadline: October 15, 2018
* Date posted: September 7, 2018
* Contact: https://www.nature.com/naturejobs/science/jobs/652327-postdoctoral-fellow

The Quantitative Criticism Lab (QCL; https://www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics. Prior experience with any of the following areas is highly desirable but not required: computational linguistics, cultural evolution, digital humanities, literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek), machine learning, and natural language processing. By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

For full consideration, applicants should submit the following materials by October 15, 2018:

# CV;
# Cover letter;
# Short (2-4 page) summary of past and current research interests, giving particular attention to any computational work;
# Writing sample of no more than 40 pages (e.g., article or dissertation chapter).

In addition, applicants should arrange to have three letters of recommendation forwarded by the deadline. Please submit your CV and cover letter on the UT Jobs website: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712. Please submit the additional materials via email to vnoya@austin.utexas.edu. Questions can be directed to Vanessa Noya at the same address.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

A criminal history background check will be required for finalist(s) under consideration for this position.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

If hired, you will be required to complete the federal Employment Eligibility Verification form, I-9. You will be required to present acceptable, original documents (https://hr.utexas.edu/current/services/employment-eligibility-verification-i9-docs) to prove your identity and authorization to work in the United States. Information from the documents will be submitted to the federal E-Verify system for verification. Documents must be presented no later than the third day of employment. Failure to do so will result in dismissal.

UT Austin is a Tobacco-free Campus (http://tobaccofree.utexas.edu/).

== Associate Research Scientist, UKP Lab, TU Darmstadt ==

* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Associate Research Scientist
* Specialty: Natural language processing
* Location: Darmstadt
* Deadline: September 30, 2018 (or until filled)
* Date posted: September 6, 2018
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [https://www.ukp.tu-darmstadt.de/ Ubiquitous Knowledge Processing (UKP) Lab] at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an

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

This position should further strengthen and develop the profile of the lab in natural language processing (NLP) and related topics such as machine learning, multimodal content analysis, information retrieval, or novel applications of NLP to social sciences and humanities.

Possible areas of research include, but are not limited to:
* interactive clustering and machine learning to extract sets of textual snippets according to multiple criteria, e.g. high-quality and diverse examples illustrating a lexical entry’s usage;
* NLP for low-resource languages, e.g. analyzing discourse-level argumentation in Georgian;
* interactive sequence labeling to support claim validation by experts, e.g. for extracting evidence from corpora;
* joint text and image processing for content classification in social media, e.g. identifying bias;
* analyzing and generating creative language, such as humor, metaphor, or other rhetorical means.

The lab has a strong profile in the above areas, which features robust semantic analysis and textual inference, multimodal content analysis and summarization, and applications of NLP including novel benchmarks and problem definitions. It currently develops a new focus on interactive machine learning and chatbots and conversational agents. The lab closely cooperates with machine learning, computer vision, and data management groups of the Computer Science department. It has a strong industrial network and works together with social sciences and humanities on real-life research problems.

We are looking to attract highly qualified candidates with an outstanding degree in NLP, machine learning, or a related field of Computer Science. The candidates should preferably have research and teaching experience and strong communication skills in English and German (optional). Together with the candidate, we work out an individual career development plan and identify the relevant opportunities for the professional and personal growth within the activities of the lab.

The research environment is excellent. The Department of Computer Science of the TU Darmstadt is regularly one of the top ranked ones among the German universities. Its unique Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG and the BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasize NLP, machine learning and text mining. UKP Lab is a very dynamic research group committed to high-profile research, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of ideally three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by September 30th, 2018: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

== Tenure-track and tenure-eligible investigators at the National Library of Medicine, Bethesda, Maryland ==
*Employer: National Library of Medicine
*Title: Tenure-track and tenure-eligible investigators
*Specialty: Natural Language Processing
*Location: Bethesda, MD, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: August 15, 2018
*Contact: Dr. Andy Baxevanis, the Search Chair, <andy@mail.nih.gov>

The National Library of Medicine is currently recruiting for both tenure-track and tenure-eligible investigators in data science, biomedical informatics, and computational biology.
Individuals with significant experience in the use of statistical, machine learning, optimization and advanced mathematical methodologies as applied to biomedical and health science are encouraged to apply.
Additional details are available by following the links below.

https://www.nlm.nih.gov/careers/jobopenings.html
https://www.nlm.nih.gov/careers/jobopening_ncbi_01_20180813.html
https://www.nlm.nih.gov/careers/jobopening_ncbi_02_20180813.html

== Question-Answering Research Internship at Adobe Research, San Jose, California ==
*Employer: Adobe Research
*Title: Research Scientist Intern
*Speciality: Question-answering
*Location: San Jose, CA, USA
*Deadline: Applications will be accepted until the position is filled.
*Date posted: July 3, 2018
*Contact: Franck Dernoncourt <dernonco@adobe.com>

We are looking for a PhD student with background in question-answering for a late summer or autumn, ~13-week internship (starting date and length are flexible). We strongly encourage our interns to publish their work to NLP/ML conferences/journals, and as a result we prefer candidates with a strong publication record. International PhD students are welcome to apply. Highly competitive salary. To apply, please send me an email with your CV (e.g., PDF or LinkedIn) as well as the list of your publications (e.g., PDF or link to your Google Scholar profile).

== Postdoctoral position in natural language understanding, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium
* Title: Postdoctoral researcher
* Specialty: Natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: July 31, 2018
* Date posted: June 18, 2018
* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position (extendable to four years) funded by the ERC (European Research Council) Advanced Grant CALCULUS “Commonsense and Anticipation enriched Learning of Continuous representations sUpporting Language UnderStanding” (http://calculus-project.eu). The principal investigator is Prof. Sien Moens. CALCULUS focuses on learning effective anticipatory representations of events and their narrative structures that are trained on language and visual data. The machine learning methods on which CALCULUS will build belong to the family of latent variable models where it will rely on Bayesian probabilistic models and neural networks as starting points. CALCULUS focuses on settings with limited training data that are manually annotated and especially aims at developing novel machine learning paradigms for natural language understanding. CALCULUS also evaluates the inference potential of the anticipatory representations in situations not seen in the training data and for inferring spatial, temporal and causal information in metric real world spaces. The best models for language understanding will be integrated in a demonstrator that translates language to events happening in a 3-D virtual world.

The successful candidate will have an opportunity to work on innovative natural language understanding research such as grounding language meaning into visual perception and translating narrative language into visual events. He or she will be given the opportunity for personal development beyond research, for example by contributing to teaching (e.g., at the undergraduate and graduate levels). For an outstanding candidate there is the potential to grow into an assistant professorship.

'''Responsibilities'''

* Perform own research in language understanding and novel machine learning paradigms in the frame of the CALCULUS project.
* Carry out some teaching duties, which may include lectures/exercise sessions, the organisation of student seminars, and the supervision of bachelor and master theses.
* Help in the supervision of PhD researchers of the CALCULUS team.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).
* You have a motivated interest in fundamental research in language understanding and machine learning.
* You are not afraid of creative and original ideas and solutions.
* You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in relevant journals with high impact factor.
* You are good at collaborating with and leading others.
* You work proactively and independently and have good communication skills.
* You have a very good knowledge of English, both spoken and written.
* You are highly motivated, ambitious and result-oriented.

'''Offer'''
* We offer a 2 x 2-year postdoctoral position, starting in September 2018 (negotiable).
* We offer a competitive wage and yearly budget to attend conferences and for short research stays.

'''Interested'''
If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Postdoctoral position in multilingual text mining, KU Leuven, Belgium ==

* Employer: KU Leuven, Belgium
* Title: Postdoctoral researcher
* Specialty: Text mining, machine learning
* Location: Leuven, Belgium
* Deadline: July 31, 2018
* Date posted: June 18, 2018
* Contact: sien.moens@cs.kuleuven.be

We offer a two-year postdoctoral position funded by the EU ITEA3 project PAPUD "Profiling and Analysis Platform Using Deep Learning” (https://itea3.org/project/papud.html). The principal investigator is Prof. Sien Moens. The scope of the project is to build a universal model for data analytics using deep learning in order to help today’s businesses to make sense out of data. The postdoctoral position focuses on multilingual text mining and more specifically on interlingual content representations and methods of transfer learning with applications in multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. The candidate will perform cutting-edge artificial intelligence research in the context of a European consortium composed of renowned academic and industrial partners.

'''Responsibilities'''

* Design and develop machine learning methods for multilingual text mining.
* Carry out some teaching duties, which may include lectures/exercise sessions, the organization of student seminars, and the supervision of bachelor or master theses.

'''Prerequisites'''

* You have (or are near completion of) a PhD in Computer Science (or a related field).
* You have a motivated interest in and knowledge of text mining and machine learning, including probabilistic graphical models and deep learning.
* You have a solid track record of publications in relevant international peer-reviewed A ranked conferences and journals.
* You have a profound interest in collaborating with the industry on applications of text mining and willing to contribute to a deep learning text analytics platform.
* You have a very good knowledge of English, both spoken and written.
* You are highly motivated, ambitious and result-oriented.

'''Offer'''

* We offer a two-year postdoctoral position, starting in September 2018 (negotiable).
* We offer a competitive wage and yearly budget to attend conferences.

'''Interested'''

If interested, send your CV including publication list, motivation letter and two recommendation letters by e-mail to Prof. dr. Sien Moens (sien.moens@cs.kuleuven.be) as soon as possible and the latest by July 31, 2018. For more information please contact Prof. dr. Sien Moens: tel.: +32 16 32 53 83. Excellent candidates will be invited for an interview (possibly via Skype).

'''The research team'''

The Language Intelligence & Information Retrieval (LIIR) lab (https://liir.cs.kuleuven.be) of KU Leuven, Belgium is part of the Human Computer Interaction (HCI) unit in the Department of Computer Science. The members of the lab are especially interested in natural language processing and understanding, multimedia mining, machine learning and information retrieval. They study well-informed theoretical models as well as challenging applications, often empowered by big data sets. They investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. LIIR has a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, news search and mining, user generated content mining, and World Wide Web mining and search, and contribute to the field of data science in these areas. Through its collaborations LIIR connects to other disciplines including speech processing, computer vision, data mining, artificial intelligence, cognitive science, and human-computer interaction.

'''The university'''

KU Leuven is situated in a historic university town close to Brussels, the capital of Europe. It features an excellent Computer Science department providing a stimulating research environment. All programmes at this university are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt ==

* Employer: [https://www.aiphes.tu-darmstadt.de/ DFG Graduate School AIPHES], [https://www.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
* Title: Doctoral researcher
* Specialty: deep learning, summarization
* Location: Darmstadt
* Deadline: June 27, 2018
* Date posted: June 18, 2018
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment

The [http://www.aiphes.tu-darmstadt.de/ Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in
2015 at Technische Universität Darmstadt and at Ruprecht Karls
University Heidelberg is filling two positions for three years,
starting as soon as possible, located in Darmstadt and associated with
UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.
The positions provide the opportunity to obtain a doctoral degree with
an emphasis in
natural language processing tasks such as structured summaries of
complex contents, abstractive summarization, or a related area.
Applicants should be willing to work on cross-lingual, cross-modality
and domain-independent methods. Prior experience in transfer learning,
multi-task learning, adversarial learning, deep reinforcement learning
or related methods is a plus.

The goal of AIPHES is to conduct innovative research in knowledge
acquisition on the Web in a cross-disciplinary context. To that end,
methods in computational linguistics, natural language processing,
machine learning, computer vision, and data and information management
will be developed. AIPHES investigates a novel,
complex scenario for information preparation from heterogeneous
sources. It interacts closely with end users who prepare textual
documents in an online editorial office, and who should therefore
benefit from the results of AIPHES. In-depth knowledge in one of the
above areas is desirable but not a prerequisite.

AIPHES emphasizes close contact between the students and their
advisors with regular joint meetings, a co-supervision by professors
and younger scientists in the research groups, and an intensive
exchange as part of the research and qualification program.
Participating research groups at Technische Universität Darmstadt are
Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning
(Prof. Kersting), Visual
Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at
Ruprecht Karls University Heidelberg are the Institute for
Computational Linguistics (Prof. Frank) and the Natural Language
Processing Group (Prof. Strube) of the Heidelberg Institute for
Theoretical Studies (HITS). AIPHES strives to publish its results at
leading
scientific conferences and is actively supporting its doctoral
researchers in this endeavor. The software that will be developed in
the course of AIPHES should be put under the open source Apache
Software License 2.0 if possible. Moreover, the research papers and
datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in
Computer Science, Machine Learning, NLP, or a related study
program. 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. Prior experience in
scientific work is a plus. We specifically invite
applications of women. Among those equally qualified, handicapped
applicants will receive preferential consideration. International
applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly
ranked among the top ones in respective rankings of German
universities. [https://www.ukp.tu-darmstadt.de UKP Lab] is a highly dynamic research group committed to
top-level conferences, technologies of the highest standards,
cooperative work style and close interaction of team members. Its
BMBF-funded Centre for the Digital Foundation of Research in the
Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP,
machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a
user-defined topic: neural networks determine relevant pro and con
arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of
the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with
information about the applicant’s scientific work, certifications of
study and work experience, as well as a thesis or other publications
in electronic form. Application materials must be submitted via the
following form by June, 27th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and
a reviewing task in the first two weeks after their application.

== Postdoc position: Bocconi University, Milan ==

*Employer: Bocconi University
*Title: Postdoctoral Researcher
*Location: Milan, Italy
*Deadline: June 22nd, 2018, 5 p.m.  
*Starting date: as early as possible, but no later than September 2018
*Duration: 1 year  
*Date Posted: June 18, 2018
*Contact: Paola Cillo (paola.cillo@unibocconi.it)
*URL: https://bit.ly/2JW2tKZ (select the Gucci Lab call)

Gucci Research Lab (GRL) is a unique partnership between Bocconi University and Gucci to identify and study the trends that define the way in which organizations are evolving. This position is part of a larger project by the Gucci Lab at Bocconi on the effects of a change in a firm’s leadership positions on the firm’s culture and its performance. Part of the project involves the textual analysis of internal documents (e.g., emails), before and after the leadership change. To provide an example, textual analysis of these documents will be conducted to identify power relationships within the organization and study how they evolved over time.

REQUIREMENTS/QUALIFICATIONS  

The successful candidate will work actively on novel directions in deep learning, multi-task learning, and neural networks.  The candidate is expected to have:
* a Ph.D. or equivalent in Computer Science, Computational Linguistics/NLP, Mathematics or related fields.
* Good programming skills in Python.
* Fluent English. Knowledge of other languages is more than welcome.  Knowledge of Italian is NOT a requirement.
* Knowledge of current neural network models, especially Word2Vec and Doc2Vec, and tools for neural networks (e.g. Tensorflow, Keras, PyTorch, etc.).
* Publications in top-tier venues in the field of Computational Linguistics.
* Experience in Ph.D. student supervision is a plus.
* Salary: 43,310.50 euros per annum

HOW TO APPLY  

The application must be sent to Faculty and Research Division of Bocconi University (addressing the Rector) just via email at recruiting_ricerca@unibocconi.it
You can find more information about the project and call here: https://bit.ly/2t1DnAO

== Postdocs: Johns Hopkins University ==

*Employer: Johns Hopkins University
*Title: Postdoctoral Researcher
*Location: Baltimore, MD
*Deadline: Applications will be accepted until positions are filled
*Date Posted: June 6, 2018
*Contact: clspsearch@clsp.jhu.edu
*URL: https://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, natural language processing and machine learning. Applicants must have a Ph.D. in a relevant discipline and a strong research record.

The center has a number of postdoctoral positions available. A single application will be considered for all open positions (except for one position as noted below). You need not indicate a specific position, but you may include a strong preference in an optional cover letter.

Example topics include:
* Cross-lingual Information Retrieval
* Trend Detection in Social Media
* Social Media and Mental Health
* Analysis of Clinical Medical Text
* Broadly Multilingual Learning of Morphology and Low-Resource Machine Translation
* NLP and Machine Learning for Clinical Data Analysis

Johns Hopkins University is a private university located in Baltimore, Maryland. The campus provides easy access to a number of affordable and vibrant neighborhoods and waterfront dining options. Hopkins is also connected to Washington DC (40 mins), Philadelphia (1.5 hours) and New York city (2.5 hours) via direct trains and buses.

CLSP is one of the world’s largest academic centers focused on speech and language. CLSP is home to a dozen faculty members, half a dozen postdocs, and over 60 graduate students. It has a history of placing students in top academic and industry positions, with a large network of alumni at Google, Amazon, Microsoft Research, Bloomberg, IBM Research, Facebook, Twitter, Nuance, BBN, and numerous startups.

Applicants are not required to be to US citizens or permanent residents.

Questions about specific projects should be directed to the contact information associated with the project. General inquiries may be sent to clspsearch@clsp.jhu.edu.

Details and application information:
http://www.clsp.jhu.edu/employment-opportunities/

== Research Fellow in Software Engineering with a Focus on Natural Language Processing at University of Tartu, Estonia ==
* Employer: University of Tartu, Institute of Computer Science, [https://sep.cs.ut.ee/ Software Engineering group]
* Title: Research Fellow
* Speciality: Software engineering, machine learning, natural language processing
* Location: Tartu, Estonia
* Deadline: June 4, 2018
* Date posted: May 21, 2018
* Contact: Dietmar Pfahl, Kairit Sirts (<firstname>.<lastname>@ut.ee)

'''Postdoctoral position''' 
Applications are invited for a position of Research Fellow at the Software Engineering and Information Systems Research Group, Institute of Computer Science, University of Tartu. The institute is the leading Computer Science department in the Baltics and is one of the top-2 in Central and Eastern European universities according to the field-specific Times Higher Education Ranking 2017. The Software Engineering and Information Systems group conducts research in the fields of data-driven software engineering decision support, business process management, and secure information systems design. The group is composed of 25 members, including 12 PhD students. The group places a strong emphasis on research excellence and quality of its research publications. The institute has strong ties with the local industry and manages a portfolio of half a dozen research projects in cooperation with industry partners.

The successful candidate will conduct research in the field of data-driven software engineering decision support, within a team that brings together researchers specialized in software analytics, software evolution, software quality assurance, agile development methods, data mining and natural language processing. The research fellow will be expected to contribute to ongoing research projects which aim at exploiting advanced data science methods in one or more of the following application domains:

* open innovation,
* energy-efficient software development,
* software testing.

The research to be conducted is interdisciplinary. In particular, we will be closely collaborating with the natural-language processing group to leverage their expertise on analyzing unstructured data.

'''Requirements''' 
Candidates must have a PhD in Computer Science or a related discipline. Expertise in at least one of the following topics is essential: software testing, static code analysis, software evolution/maintenance, machine learning. Experience in developing research prototypes and working in collaborative research projects is desirable. The position is not term-limited. Funding is already secured for the first two years of the appointment. The continuation of the position after the first two years will depend on further funding. Remuneration will be up to 2400 euros/month. Estonia applies a flat income tax of 20% on salaries and provides public health insurance for employees.

The expected start date is 1 September 2018, but a later start date can be negotiated.

The deadline for applications is 4 June 2018. The application procedure is outlined in the official advertisement at the [https://www.ut.ee/en/welcome/job-offer/research-fellow-software-engineering-0 University's website].

== Postdoctoral research positions in cybersecurity, natural language processing, and experimental social psychology at SUNY Albany ==
* Employer: University at Albany, Research Foundation of the State University of New York, [http://www.ils.albany.edu/ ILS Institute]
* Title: Postdoctoral researcher
* Speciality: Cybersecurity, natural language processing, machine learning, experimental design
* Location: Albany, New York, USA
* Deadline: July 31, 2018
* Date posted: May 18, 2018
* Contact: Tomek Strzalkowski (tomek {at} albany.edu)

'''Postdoctoral positions''' 

* ''The Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) Project.'' The PANACEA Project is a joint effort of communication and computer science faculty at the University at Albany, SUNY, as well as researchers at other institutions. The project aims to design, develop, and evaluate an automated system that will protect online users against current and future forms of social engineering attacks. The system will serve as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victims they target by addressing and eliminating human vulnerabilities in current cyber defense capabilities. The objectives of the project include detection and classification of social engineering attacks as well as active defenses, including engaging and identifying of the attackers.
* ''The Computational Ethnography from Metaphors and Polarized Language (COMETH) Project.'' The COMETH project is a joint effort of computer science and psychology faculty at the University at Albany. The project aims to develop and validate novel computational methodology for automatically acquiring cultural models that represent the worldviews of communities and subcultures operating within the larger society. These models will be obtained using advanced natural language processing and machine learning techniques on data from online media outlets produced by different communities. The objectives of this research include (a) capturing prevalent community attitudes (sentiment and beliefs) toward key concepts such as government, rights, economic inequality, etc.; (b) showing how these attitudes evolve over time, including in response to external influences (e.g., national or international events); and (c) explaining how this system of attitudes acts like an interpretive and defensive tool by allowing the community to reject or distort incoming information.

'''Requirements for the PANACEA position''' 
For the PANACEA project, we seek a postdoctoral researcher to join our interdisciplinary team. The candidate must have a Ph.D. in Computer Science from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. This position starts September 1, 2018.
* The candidates are expected to have the following skills: in-depth knowledge of current issues and methods in cybersecurity, natural language processing, socio-behavioral computing, human-computer dialogue, statistical methods of data analysis, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with methods of conversational analysis is a plus.

'''Requirements for the COMETH positions''' 
For the COMETH project, we seek '''two''' postdoctoral researchers: one in computer science and one in psychology. The candidates must have a Ph.D. in Computer Science or Psychology from an accredited college or university that was granted within the last 3 years, and evidence of advanced scholarly research in a relevant field. These positions start December 1, 2018.

* The computer science candidates are expected to have the following skills: in-depth knowledge of current issues and methods in natural language processing, data science, domain modeling, socio-behavioral computing, statistical methods, and machine learning. Familiarity with empirical method of data collection and model validation is preferred. Programming expertise is essential including substantial experience with Java, Python, and C++ programming environment, as well as with Windows, Linux and Unix platforms. Linguistic background and familiarity with sentiment analysis and metaphor extraction is a plus.
* The psychology candidates are expected to have following skills: substantial experience with experimental design and advanced statistical methods in experimental social psychology, and knowledge of political psychology. Experience with open science and pre-registration of research protocols will be beneficial.

'''Overall Requirements''' 
* For all postdoctoral researchers: duties include advanced research and development under the direction of the project faculty, report preparation and coordination of work of graduate student assistants. Ability to execute substantial tasks within large projects in timely fashion is essential. Candidates must also address in their applications, their ability to work with a culturally diverse population.

The postdoctoral researcher appointment review will begin immediately and will close once filled. The successful candidates will be located in the Institute for Informatics, Logics, and Security Studies at the University at Albany, SUNY. The appointment is for 40 hours a week, initially for 12 to 18 months, and potentially extendible for up to 48 months, depending on the project. Expected start dates are September 1, 2018 and December 1, 2018, pending funding approval from the Federal Government sponsor. The salary is commensurate with experience.

'''How to Apply''' 

Interested individuals should direct inquiries and submit a cover letter, resume, and three letters of reference to: Prof. Tomek Strzalkowski, Director ILS Institute, University at Albany, tomek {at} albany.edu

== Two PhD positions in deep learning for natural language understanding and summarisation at Idiap, Switzerland ==
* Employer: Idiap Research Institute, [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group]
* Title: Two PhD positions
* Speciality: Natural Language Understanding, Summarisation, Machine Learning
* Location: Martigny, Switzerland
* Deadline: May 31, 2018
* Date posted: April 30, 2018
* Contact: James Henderson (james.henderson@idiap.ch)

'''Two PhD positions'''

The [http://www.idiap.ch/en Idiap Research Institute] seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation.

The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation. One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation). Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions.

This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures. The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity. Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts. Methods for finding the intersection of information in vectors will be extended to clustering texts by their shared content and generating abstract summaries.

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

The successful PhD candidates will join the [http://www.idiap.ch/en/scientific-research/natural-language-understanding Natural Language Understanding group] at Idiap, under the supervision of Dr. James Henderson. They will also become doctoral students at [http://www.epfl.ch EPFL] conditional on parallel application to, and acceptance by, the [http://phd.epfl.ch/applicants EPFL Doctoral School]. Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson@idiap.ch).

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%2710241%27%7D http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D]

'''Idiap'''

Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. It is located in a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative.

== 2 postdoctoral research positions in text mining and natural language understanding at KU Leuven, Belgium ==
* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
* Title: Postdoctoral researcher
* Speciality: Text mining, natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: May 21, 2018
* Date posted: April 23, 2018
* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''Postdoctoral positions''' 

* Postdoctoral position on the topic of multilingual text mining. The goal is to build interlingual representations that allow multilingual topic modelling, content classification (e.g., opinion and argumentation mining) and question answering. This postdoctoral position will be funded by the EU ITEA3 grant PAPUD and offers a contract for two years. The position will start as soon as possible.
* Postdoctoral position on the topic of multimodal representation learning. The goal is to learn continuous representations that represent language grounded in visual perception (static images and video), assist in the design of novel machine learning architectures, and investigate suitable data structures for real-time search of the representations. This postdoctoral position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS and offers a contract for two years (with the possibility of renewal for another two years). The position will start September 1, 2018.

'''Requirements''' 
*PhD in computer science or equivalent.
* Motivated interest in and preferably knowledge of (as demonstrated by publications in highly recognized venues such as ACL, EMNLP, ICML, NIPS, etc.) of natural language processing and machine learning, including deep learning and learning of latent variable models. For the second postdoctoral position, interest or experience in semantic hashing is a plus.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== 2 PhD positions in natural language understanding at KU Leuven, Belgium ==
* Employer: KU Leuven, Department of Computer Science, [https://liir.cs.kuleuven.be/ Language Intelligence and Information Retrieval lab]
* Title: PhD researcher
* Speciality: Natural language understanding, machine learning
* Location: Leuven, Belgium
* Deadline: May 21, 2018
* Date posted: April 23, 2018
* Contact: Sien Moens (sien.moens {at} cs.kuleuven.be)

'''PhD positions''' 

* PhD position on the topic of multimodal representation learning trained on language and visual data. The goal is to learn continuous representations of language grounded in visual data (static images and video) including the design, implementation and evaluation of novel machine learning architectures that capture textual as well as visual grammars. The learned representations will serve as commonsense knowledge in language understanding tasks. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

* PhD position on the topic of semantic parsing of natural language sentences and discourse. The goal is to learn compositional models that take into account continuous representations of objects, their attributes and likely relationships. An additional focus is on using the compositional models to efficiently parse language in real-time. This PhD position will be funded by the ERC (European Research Council) Advanced Grant CALCULUS. The position starts September 1, 2018.

'''Requirements''' 
*Master degree in computer science or equivalent.
*Motivated interest in and preferably knowledge of (as demonstrated in master thesis or master course work) of natural language processing, machine learning, including deep learning and learning of latent variable models, semi-supervised machine learning, and constrained optimization.

The successful candidates will have an opportunity to work on cutting-edge natural language processing, multimedia processing and machine learning research. He/she will be given the opportunity for personal development beyond research, for example by contributing to departmental teaching at the undergraduate and graduate levels.
KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors. KU Leuven ranks among the best 50 universities worldwide!

== Associate Research Scientist (NLP, machine learning and text mining), 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: March 28, 2018
* Date posted: March 19, 2018
* 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 a term of three years with an extension option)

This position is intended to strengthen the profile of [https://www.ukp.tu-darmstadt.de/ the lab] in a research area within natural language processing (NLP), machine learning and text mining, such as word-/sentence-/discourse-level semantics, robust textual inference, and the applications of the above in higher-level NLP, such as QA, text summarization, argument mining, etc. The lab closely cooperates with the groups in machine learning, computer vision, and interactive data analytics of the Computer Science department and many other research labs and companies. Besides, the lab conducts research projects in close cooperation with the users in the humanities and social sciences.

We ask for applications from highly qualified candidates with a specialization/PhD in NLP/Text Mining, preferably with relevant research and teaching experience and strong communication skills in English and German (optional). Individual career development plans can be worked out. E.g. the successful candidate will contribute to research activities described above and – based on the previous experience and qualifications – will be given an opportunity to grow, i.e. to teach courses, co-supervise PhD students, and manage research projects. Outstanding candidates (at M.Sc.-level, without a PhD) are invited to apply and can be considered for a PhD-level position with an adjusted scope of responsibilities. The position being filled is based on the university funds.

The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Research Training Group [https://www.aiphes.tu-darmstadt.de/de/aiphes/ “Adaptive Information Processing of Heterogeneous Content” (AIPHES)] funded by the DFG and the BMBF-funded [https://www.cedifor.de/en/cedifor/ Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR)] emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members.

Applications should include a detailed CV, a motivation letter, an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via [https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment the application form] by '''March 28, 2018'''. The position is open until filled.

== PhD positions in DFG Graduate School AIPHES, TU Darmstadt: Natural Language Processing and Machine Learning ==

* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt]
* Title: Doctoral researcher
* Speciality: Natural Language Processing and Machine Learning
* Location: Darmstadt
* Deadline: April 3, 2018
* Date posted: March 19, 2018
* 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 two positions for three years, starting as soon as possible, located in Darmstadt and associated with UKP Lab (Prof. Iryna Gurevych). Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree with an emphasis in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area.

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.

AIPHES emphasizes close contact between the students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Claudia Schulz), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES strives to publish its results at leading scientific conferences and is actively supporting its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

'''Prerequisites'''

We are looking for exceptionally qualified candidates with a degree in Computer Science, Machine Learning, NLP, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Prior experience in scientific work is a plus. Applicants should be willing to work on lesser-resources languages, e.g. German, and, if necessary, to acquire basic German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The research environment is excellent. The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly ranked among the top ones in respective rankings of German universities. [https://www.ukp.tu-darmstadt.de/ UKP Lab] is a highly dynamic research group committed to top-level conferences, technologies of the highest standards, cooperative work style and close interaction of team members. Its BMBF-funded Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) emphasizes NLP, machine learning and text mining. The large-scale [http://www.argumentext.de/ argument mining project] allows searching large document collections in response to a user-defined topic: neural networks determine relevant pro and con arguments in real-time, and represent them in a concise summary.

Applications should include a motivational letter that refers to one of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by '''April 3rd, 2018''': https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.

== Tenure track at IDSIA (Switzerland) in Natural Language Understanding and Text Mining ==
* Employer: IDSIA (www.idsia.ch)
* Title: Tenure track
* Specialty: Natural Language Understanding and Text Mining
* Location: Lugano, Switzerland
* Deadline: March 31th, 2018 (start date flexible)
* Date posted: March 16, 2018
* Contact email: Giorgio Corani (giorgio.corani@supsi.ch)

'''Project Description''' 
The person hired on this position will evenly share her/his working time on two main activities:

*Basic research, aiming at publications in highly rated journals and international conferences;
*Applied research, collaborating with industrial partners in cutting-edge projects.

A further cross-activity will be contributing to search for funding opportunities of both basic and applied research.

The involved research area regards natural language understanding (probabilistic language modeling, keyword extraction, text summarization), text mining (text classification, word embedding, topic models) and semantic analysis of the text.

'''Requirements''' 
*The position is for a young researcher who has already obtained a PhD on a topic relevant to Natural Language Processing and/or Text Mining;
*Master in informatics or other areas with strong emphasis on computation;
*Excellent programming skills and deep knowledge of libraries for natural language processing;
*Communication and collaboration skills.
*Proficiency in written and spoken in English.

'''Optional but preferential''' 

*Strong publications record;
*Capability of leading projects carried out with industrial partners on automatic analysis of documents;
*Good knowledge of machine learning algorithms and tools;
*Good knowledge of written and spoken Italian, or willingness to learn it in short times.

'''We offer''' 

*A tenure track position (degree of occupancy 100%)
*International working environment;
*Collaboration with a strong team of researchers in Machine Learning and Statistics (our publication record is available at: [http://ipg.idsia.ch]);
*Salary starting from 80,000 CHF / year (about 84,000 $/year)

'''Application''' 
Applicants should submit the following documents, written in English:

*curriculum vitae
*list of exams and grades obtained during the Bachelor and the Master of Science;
*list of three references (with e-mail addresses);
*brief statement on how their research interests fit the topics above (1-2 pages);
*publications list and possibly link to the thesis.

Applications should be submitted through the [http://www.form-ru.app.supsi.ch/view.php?id=276008 Application website]

== Postdoctoral position in Psychology at University of Pennsylvania==

* Employer: University of Pennsylvania
* Title: Postdoctoral Researcher
* Specialty: Computational Linguistics
* Location: Philadelphia, Pennsylvania
* Deadline: March 20th, 2018 (start date flexible)
* Date posted: February 27, 2018
* Contact email: Sudeep Bhatia (bhatiasu@sas.upenn.edu)

'''Project Description''' 
The researcher will study how word embeddings and related techniques can be used to model how people represent objects and events, and, in turn, predict human probability judgment, event forecasting, social judgment, risk perception, and consumer behavior.

'''Requirements''' 
Candidates should have completed (or should be about to complete) a PhD in Computer Science, Psychology , Cognitive Science, or related fields, and should be interested in applying natural language processing to address questions in Psychology, Policy, Economics, and Marketing. Applicants should have graduate-level expertise in natural language processing and machine learning.

'''Additional Details''' 
The position will be based in the Psychology department at the University of Pennsylvania, and will be supervised by Sudeep Bhatia. Lyle Ungar will serve as a second advisor. The postdoctoral researcher will also be encouraged to interact with the broader intellectual community at Penn. The appointment is expected to begin Sept 1, 2018 (start date is flexible). The term of hiring is one year, renewable for up to one additional year. The position is full time and there are no teaching or administrative responsibilities.

'''How to Apply''' 
Applications for the positions must be submitted by March 20th, 2018, to ensure full consideration. However, review of applications will continue until the position is filled. Applicants should email a curriculum vitae and contact information for two references to Sudeep Bhatia at bhatiasu@sas.upenn.edu.

== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==
* Employer: Rochester Institute of Technology
* Title: Postdoctoral Research Scientist
* Specialty: Postdoctoral Research Scientist: Computational Linguistics
* Location: Rochester, New York, United States
* Deadline: Open until filled
* Date posted: February 17, 2018
* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])
* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

'''Required Minimum Qualifications:''' 
* PhD., with training in Computational Linguistics, Linguistics, or an allied field
* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
* Publication record and plan for research and grant seeking activities
* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

'''Required Application Documents:''' 
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

'''How To Apply:''' 
Please apply at: [http://careers.rit.edu/staff http://careers.rit.edu/staff]. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.

== Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan ==

* Employer: University of Michigan
* Title: Research Fellow
* Specialty: Postdoctoral Research Fellow: Automated Text Analysis
* Location: Ann Arbor, Michigan, United States
* Deadline: March 12, 2018, desired start June 2018
* Date posted: February 12, 2018
* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]

'''How to Apply''' 
A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

'''Job Summary''' 
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

'''Responsibilities'''
* Retrieve and create corpora for NLP and associated linguistic analysis
* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

'''Required Qualifications''' 
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

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

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

== 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 August 2018
* Date posted: February 9, 2018
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]

'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' 
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

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 August 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].

== Full-time Researchers, IBM Research - Almaden ==
* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]
* Title: Research Staff Member
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
* Location: San Jose, California, USA
* Deadline: June 1, 2018
* Date posted: January 31, 2018
* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation knowledge engineering platform for the creation, maintenance and consumption of "industry-specific" knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:
* Creation, maintenance and evolution of domain schema to capture domain concepts of interest
* Scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
* Domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
* Scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
* Techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
* Easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
* Incorporating crowd sourcing and continuous evolution of the system through learning from user interactions

The research builds upon and extends successful projects from our group, which have resulted in significant academic, industrial and open source impact.
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).

We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

'''Required'''
* Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
* Programming experience in one or more of the following: Java, C, C++ and/or Python.
* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

'''Preferred'''
* PhD in Computer Science, related technical field or equivalent practical experience.
* Relevant work experience, including experience working within the industry or as a researcher in a lab.
* Ability to design and execute on research agenda.
* Strong publication record.

== 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 or Heidelberg
* Deadline: February 11, 2018
* Date posted: January 21, 2018
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]

PhD positions in DFG Graduate School AIPHES: Natural Language
Processing and Computational Linguistics

The Research Training Group [http://www.aiphes.tu-darmstadt.de/ “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in
2015 at Technische Universität Darmstadt and at Ruprecht Karls
University Heidelberg is filling several positions for three years,
starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in
the research area of the training group with an emphasis, e.g., in
opinion and sentiment - extrapropositional aspects of discourse, in
natural language processing tasks such as structured summaries of
complex contents, in content selection and classification enhanced by
reasoning, or a related area. The group will be located in Darmstadt
and Heidelberg. The funding follows the guidelines of the DFG, and the
positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge
acquisition on the Web in a cross-disciplinary context. To that end,
methods in computational linguistics, natural language processing,
machine learning, network analysis, computer vision, and automated
quality assessment will be developed. AIPHES will investigate a novel,
complex scenario for information preparation from heterogeneous
sources. It interacts closely with end users who prepare textual
documents in an online editorial office, and who should therefore
profit from the results of AIPHES. In-depth knowledge in one of the
above areas is desirable but not a prerequisite.

Participating research groups at Technische Universität Darmstadt are
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 with regular joint meetings, a co-supervision by professors
and younger scientists in the research groups, and an intensive
exchange as part of the research and qualification program. The
training group has the goal of publishing its results at leading
scientific conferences and will actively support its doctoral
researchers in this endeavor. The software that will be developed in
the course of AIPHES should be put under the open source Apache
Software License 2.0 if possible. Moreover, the research papers and
datasets should be published with open access models.

'''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 [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly
ranked among the top ones in respective rankings of German
universities. [http://www.cl.uni-heidelberg.de/ The Institute for Computational Linguistics (ICL)] of the
Ruprecht Karls University Heidelberg is one of the largest centers
for computational linguistics both in Germany and internationally. The
ICL and the NLP department of the HITS jointly run the graduate
program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training
group “Coherence in language processing: Semantics beyond the
sentence”, which has a close connection to the topics in computational
linguistics of AIPHES.

Applications should include a motivational letter that refers to one
or two of the planned research areas of AIPHES, a CV with
information about the applicant’s scientific work, certifications of
study and work experience, as well as a thesis or other publications
in
electronic form. Application materials must be submitted via the
following form by February 11th, 2018:

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.

== 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
* Location: Darmstadt
* Deadline: February 16, 2018
* Date posted: January 21, 2018
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

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

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

in the areas of Interactive Text Analysis, the UKP Lab is looking for
a researcher with a background in Natural Language Processing and
Software Development to work on the project [https://www.ukp.tu-darmstadt.de/research/current-projects/inception/ INCEpTION] funded by
the German Research Foundation (DFG). The project is developing a
comprehensive interactive text analysis platform to improve efficiency
and to enable new ways of exploring, annotating and analyzing
large-scale text corpora through the use of assistive features based
on machine-learning.

We ask for applications from candidates from Computer Science with a
specialization in Natural Language Processing, Text Mining, or Machine
Learning, preferably with expertise in research and development
projects, and strong communication skills. The successful applicant
will work on research and development activities regarding text
annotation by end-users (researchers, analysts, etc.), information
recommendation, and create the corresponding text analysis platform.
Ideally, the candidates should have demonstrable experience in
designing complex (NLP and/or ML) systems (frontend and backend), in
applying NLP-related Machine Learning-based methods, and strong
programming skills especially in Java. Experience with neural network
architectures and demonstrable engagement in open source projects are
strong pluses.

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

UKP’s wide cooperation network both within its own research community
and with partners from research and industry provides an excellent
work environment. The Department of Computer Science of TU Darmstadt
is regularly ranked among the top ones in respective rankings of
German universities. Its Research Training Group “Adaptive Information
Processing of Heterogeneous Content” (AIPHES) funded by the DFG
emphasizes 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 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 (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 16.2.2018. The positions
are open until filled. Later applications may be considered if the
position is still open.

Employment opportunities, postdoctoral positions, summer jobs

2017-01-23T18:30:10Z

Bhtrung:

Employment opportunities, postdoctoral positions, summer jobs

2015-12-23T18:49:57Z

Bhtrung:

* '''[[Instructions for Posting Job Ads]]'''
* See also the [http://linguistlist.org/jobs Linguist Job List].
* Archived postings:
** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]





==Internship positions available in Natural Language Processing at Adobe Research==
* Employer: Adobe Systems Incorporated
* Title: NLP Scientist Intern
* Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
* Location: San Jose, CA
* Deadline: open until all the positions are filled
* Date Posted: December 23, 2015
* Trung Bui: bui@adobe.com

'''Description''':
We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products.
The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.

'''Key Qualifications'''
*Experience with semantic parsing, question answering and dialog systems.
*Experience with machine learning, deep learning.
*Good programming skills in Java/C++ and/or Python

'''Education'''
M.S. or PhD student in Computer Science or related field

'''Additional Requirements'''
No.

== Associate Research Scientist at UKP Lab, TU Darmstadt ==
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], Department of Computer Science, Technische Universität Darmstadt
* Title: Associate Research Scientist
* Speciality: Natural Language Processing
* Location: Darmstadt, Germany
* Deadline: January 15, 2016
* Date posted: December 23, 2015
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an '''Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)''' to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, 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 computational argumentation (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 experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation 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 research initiative "Knowledge Discovery in the Web" and the 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 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.

== Postdoctoral Researcher position in NLP/Computational Social Science at UPenn ==
* Employer: Computer & Information Science, University of Pennsylvania, USA
* Title: Postdoctoral Researcher
* Speciality: Natural Language Processing, Computational Social Science
* Location: Philadelphia, USA
* Deadline: January 15, 2016
* Date posted: December 21, 2015
* Contact: applications@wwbp.org

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 ideal candidate will have research experience in computational linguistics and applied machine learning. She or he 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 wwbp.org for example publications.

* Application Deadline: January 15, 2015
* Approximate Start Date: March 1, 2016 (but flexible)

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.

The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.

Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu

== Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose ==
* Employer: IBM Research - Almaden
* Title: Researcher, Software Engineer, Post-doc, Summer Intern
* Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
* Location: San Jose, CA
* Deadline: (until filled)
* Date posted: December 18, 2015
* Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:
* creation, maintenance and evolution of ontologies to capture domain concepts of interest
* scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
* scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
* techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
* easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
* incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.

The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174

The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.

Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

== Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area ==
* Employer: US Army Research Laboratory
* Title: Postdoctoral Fellow
* Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
* Location: Adelphi, MD
* Deadline: (until filled)
* Date posted: November 30, 2015
* Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil

The US Army Research Laboratory currently has two postdoc opportunities:

'''Position #1'''

The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.

'''Position #2'''

The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.

In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.

The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.

== Open PhD position on Textual Knowledge Resources (NLP / IR / ML) at Data and Web Science Group in Mannheim, Germany ==
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
* Title: PhD Candidate (post-Masters)
* Speciality: Natural Language Processing, Information Retrieval, Knowledge Bases
* Location: Mannheim, Germany
* Deadline: January 6, 2016
* Date posted: November 20, 2015
* Contact: queripidia-jobs(At)uni-mannheim(DoT)de

The Information Retrieval and Natural Language Processing Group at the University of Mannheim invite applications for

'''ONE PHD STUDENT IN STATISTICAL NLP / IR / MACHINE LEARNING'''

The student is expected to contribute to a project on Knowledge Consolidation and Organization for Query-specific Wikipedia Construction under the principal investigator Laura Dietz. The goal of the research project is to make information on the Web accessible in a Wikipedia-like form through a query-driven interaction paradigm. This research requires a combination of methods from information retrieval and automatic text understanding to provide the user with a synthesis of the information through summarization, sub-topic identification, and article organization.

We are particularly interested in candidates with a background in one or several of the following areas:
* statistical text processing (e.g., automatic summarization, event extraction and ordering)
* machine learning
* knowledge base construction
* information retrieval
* distributed large-scale processing

Applicants '''must have a Masters degree''' (or obtain it in the near future) in Computer Science, Natural Language Processing or Machine Learning with previous research experience in information retrieval and human language technologies is a plus. The successful candidate is expected work under limited supervision, and publish papers at top level conferences and journals and collaborate with other members of the research group.

Duration: initially one year (starting in Spring 2016) with possible extension of three years.

Salary range: according to German public scale TV-L 13 100% (full time, commensurate with experience and qualifications, ranging between 3200 and 4.600 Euro before taxes).

'''Please submit your application per e-mail (queripidia-jobs(At)uni-mannheim(DoT)de) as a single PDF.''' This PDF should include a short research statement, CV, copy of university degrees, a list of publications and published software and contact details of three references. All applications sent before January 6, 2016 will receive full consideration. The position remains open until filled.

The Data and Web Science Group is a joint lab of several professors covering diverse topics on managing, integrating and mining large-amounts of heterogeneous information within enterprise and open Web contexts. Further information about the group can be found at http://dws.informatik.uni-mannheim.de/ .

The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

Please contact Laura Dietz (queripidia-jobs(At)uni-mannheim(DoT)de) for informal enquiries.

Job posting at: http://bit.ly/1MWXjo1

== Research position in Natural Language Processing/Text Mining, University of Manchester ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Postdoctoral Research Fellow
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: October 19, 2015
*Date posted: November 15, 2015
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a senior research fellow in Clinical Text Mining at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk) , School of Computer Science, University of Manchester.

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/clinical Natural Language Processing/Text Mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., and in high quality journals; excellent Java skills; proven ability to develop research proposals independently.

The objectives of this post are to conduct research into extracting complex information from the scientific literature and clinical case reports to facilitate the discovery of biomarkers using adaptive natural language processing and text mining methods.
* Duration of post: 1st November 2015 for 48 months
* Salary: £38,511 to £42,067 per annum

'''Research Environment '''

The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.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 involves collaboration with a large team working in a newly created interdisciplinary research centre (Manchester Molecular Pathology Innovation Centre, MMPathIC) funded by MRC/EPSRC, focusing on personalised medicine, improving diagnosis and treatment of inflammatory diseases, validating and evaluating biomarkers for improving patient outcomes.

Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=10521

== PhD Position: Deep Learning and Random Forest for Argumentation Mining ==
*Employer:University of Liège, Liège, Belgium
*Title: PhD Candidate
*Speciality: Natural Language Processing, Text Mining
*Location: Liège, Belgium
*Deadline: November 23, 2015
*Date posted: October 8, 2015
*Contact: ashwin.ittoo@ulg.ac.be

The overall goal of this PhD project is to contribute to and advance the nascent field of AM. The selected candidate will have the opportunity to develop novel AM algorithms, which will then be applied to online reviews to evaluate their performance and to determine whether the presence of argumentative patterns are predictive of the helpfulness of online reviews.

The candidate will investigate the performance of two recent machine learning paradigms, Deep Learning and Random Forests. The candidate will develop a sound understanding of these paradigms and propose novel Deep Learning and Radom Forest algorithms for AM. Other recent machine learning paradigms, in particular, minimally-supervised learning and distant supervision, will also be investigated. The proposed algorithms will be applied to online reviews in order to automatically detect argumentative patterns from the textual contents and determine whether the presence of these patterns influence the reviews’ helpfulness scores of

Several corpora are already available for evaluation: product and service reviews from Amazon (books, movies), YELP and TripAdvisor. In addition, access to the Penn Discourse TreeBank (PDTB) is also available.

The selected candidate will be based at the HEC Management School, the University Liège, within the Operations department. Members of this department are engaged in research and teaching in “quantitative methods” (Operations Research, Machine Learning/Data Mining/Analytics, Enterprise Information Systems, Supply Chains and Logistics). The candidate will also collaborate with other international scholars in Japan, the Netherlands and France.

The PhD project will span over a period of '''4 years''' and the candidate will be hired as a full-time PhD scholar. The '''gross salary will be around 2150 EUR per month (net: ~ 1800-1990 EUR)'''.
Interested candidates are required to send their '''CV (incl. publications if any)''' and a '''letter of motivation''' via e-mail to Prof. Ashwin Ittoo, '''ashwin.ittoo@ulg.ac.be by 23rd November 2015'''. Please clearly indicate ‘PhD application’ in the subject line. Only those candidates deemed most suitable for the research position will be contacted. The starting date is negotiable, but we would prefer candidates who could start soonest.



== Research Associate in Natural Language Processing and Machine Learning, National Centre for Text Mining, University of Manchester ==
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
*Title: Research Associate
*Speciality: Natural Language Processing, Text Mining
*Location: Manchester, UK
*Deadline: October 3, 2015
*Date posted: September 25, 2015
*Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a researcher in NLP and machine learning at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), School of Computer Science, University of Manchester.

The candidate will be joining a strong team with 10+ staff at NaCTeM carrying out cutting edge research in NLP, biomedical text mining and machine learning. The post is funded by the Medical Research Council and focuses on developing new algorithms for unsupervised and semi-supervised methods in information extraction, topic analysis, active learning, text classification using deep learning/neural networks to support the development of systematic reviews at the National Institute for Health and Care Excellence.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing and Machine Learning; excellent knowledge in unsupervised NLP methods, deep learning, neural networks; excellent knowledge in topic analysis, clustering and classification; track record of high-quality papers in conferences such as ACL, EMNLP, etc., and excellent programming skills.

* Duration of post: 1st November 2015 for 24 months
* Salary: £30,434 to £37,394 per annum

'''Research Environment '''

The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems.
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.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".
NaCTeM is collaborating closely with the newly created Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST) in Japan (https://unit.aist.go.jp/airc//index.en.html), which focuses among others on data-knowledge integration, machine learning, natural language processing and text mining. The candidate will benefit from research stays and interactions with the team in Japan.

Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=103224.

==Research Positions at AIRC (Artificial Intelligence Research Center), Japan==
*Employer: Artificial Intelligence Research Center (AIRC), National Institute for Advanced Industrial Science and Technology (AIST)
*Title: Post-doctoral research fellows
*Speciality: Machine Learning, Deep Learning, Neuro-Computing, Natural Language Processing, Text Mining
*Location: Tokyo, Japan
*Deadline: October 16, 2015
*Date posted: September 25, 2015
*Contact: airc-recruit-ml@aist.go.jp

Applications are invited for several positions in Artificial Intelligence at the Artificial Intelligence Research Center (AIRC) (https://unit.aist.go.jp/airc//index.en.html) under the auspices of the National Institute for Advanced Industrial Science and Technology (AIST) (http://www.aist.go.jp/index_en.html).
Successful candidates will join a strong and expanding team of 35+ full-time researchers carrying out cutting edge research in AI.

Research at AIRC includes Machine Learning, Deep Learning, Planning and Search, Text Mining, NLP, Pattern Recognition, Brain Inspired Computation, and infrastructures for AI．With strong research links to industrial partners, there is a particular emphasis on applications of AI technology to real world problems as well as research into theories and fundamental AI technologies. We work in close cooperation with partners in both the private and public sector to cover a broad range of AI applications, including:

* Artificial Intelligence for Human Life: Health-care, Smart city and Smart home, Innovative Retailing and Tourism, etc.
* Artificial Intelligence for Manufacturing and Engineering: Intelligent Robots, Intelligent planning and control of manufacturing plants, etc.
* Artificial Intelligence for Big Sciences: AI applications in Bio-Medical Science and Material Science, Geology, Computational Sociology, etc.

The advertised posts are funded by a project supported by NEDO (http://www.nedo.go.jp/english/index.html), which aims to establish a core research center for AI in Japan. Depending on the expertise and interest of the candidate, s/he will focus either on basic research or application related research of AI to real world problems. AIRC will carry out research in close cooperation with national or international research institutions such as Riken, CMU, Toyota Technology Institute in Chicago, the University of Manchester and DFKI.

Candidates should have a PhD in Computer Science with an emphasis on one of the following areas: Machine Learning, Deep Learning, Neuro-Computing, Planning and Search, Natural Language Processing, Text Mining, and Algorithms and Infrastructures for Big Data Analysis. Excellent programming skills and an excellent track-record of high-quality papers in top-tier conferences and journals would be a definite advantage.

We have three categories of post-doctoral research fellows. The duration of employment for all three categories is initially 24 months, with a possible extension of 36 months or longer, depending on performance. The starting date of employment will be 1st December 2015 at the earliest.

* Category A: Post-Doctoral Research Fellow - Salary 5,500,000 JPY to 7,000,000 JPY per annum
* Category B: Senior Post-Doctoral Research Fellow - Salary 7,000,000 JPY to 10,000,000 JPY per annum
* Category C: Distinguished Research Fellow - Salary 10,000,000 JPY per annum

'''Research Environment'''

AIST is one of the largest publicly funded research institutes in Japan and a single research institute under the Ministry of Economy, Trade and Industry (METI). AIRC is the newest research center within AIST, established in May, 2015. As a core research center of AI in Japan, we have been establishing close cooperation with researchers at Japanese and international institutes, which include the University of Tokyo, Tokyo Institute of Technology, Riken, Osaka University, Tohoku University, National Institute of Informatics, Toyota Technology Institute in Chicago, CMU, University of Manchester and DFKI.

AIRC is located in Odaiba, which is in one of the central districts of Tokyo, a bustling international city and the capital of Japan. Tokyo offers both the modern urban lifestyle of Japan as well as a rich Japanese heritage.

Interested candidates are invited to send, via electronic mail, the following items to the Director of Artificial Intelligence Research Center (AIST), Prof. Junichi Tsujii (airc-recruit-ml@aist.go.jp):

* A cover letter that clearly indicates their main research interests
* Curriculum Vitae
* The contact details of 3 referees
* Copies of maximum of 3 publications that you have (co-)authored, and which are representative of your past research achievements. Each publication should be accompanied by a short summary that highlights its major contributions
* An agenda of future research goals. This should be no longer than one page, including figures

Informal enquiries can be made to airc-recruit-ml@aist.go.jp

NOTE: Please send your application to airc-recruit-ml@aist.go.jp directly via e-mail, and not by post. It is NOT necessary to follow the specific CV formats specified on the AIRC website.

==Open Rank Tenure Line Position in Linguistics at Northwestern University==
*Employer: Northwestern University
*Title: Tenure-Line Professor (open rank)
*Speciality: Open area
*Location: Evanston, IL, USA
*Deadline: December 1, 2015
*Date posted: August 31, 2015
*Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University seeks to fill a tenure-line position (open rank) with a start date of September 1, 2016. We are looking for candidates who pursue an integrated approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The candidate will join a vibrant interdisciplinary language sciences community including researchers from cognitive science, cognitive neuroscience, computer science, philosophy, psychology, and speech science.

We seek exceptional candidates with forward-looking research programs that hold the promise of future external funding. Applicants that wish to be considered for appointment at the rank of Associate Professor or Professor are expected to have a record of excellence in research and teaching, success in obtaining external funding, and to have held both internal and external leadership roles.

To receive fullest consideration, applications should arrive by December 1, 2015. 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 (including contact information), statements of research and teaching interests, reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names of three references (with their contact information). Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

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

== One PHD / POSTDOC position in Text Analysis at the University of Mannheim ==
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
* Title: PhD or Postdoctoral Research Fellow
* Topics: Natural Language Processing
* Location: Mannheim, Germany
* Deadline: September 15, 2015
* Date Posted: August 20, 2015
* Contact: sfb884@informatik.uni-mannheim.de

The researcher is expected to contribute to the C4 project on “Measuring a common space and the dynamics of reform positions” within the DFG-funded Collaborative Research Centre (SFB) 884 “Political Economy of Reforms” (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.

We are particularly interested in candidates with a background in one or several of the following areas:

* statistical semantics and discourse processing
* machine learning and natural language processing
* discourse analysis
* automated text-based scaling

Applicants should have a Masters degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.

'''Duration:''' initially one year (starting in Fall 2015) with possible extension to 3-5 years.
'''Salary range:''' according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).

Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before '''September, 15 2015''' will receive full consideration. The positions remain open until filled.

The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.

== Postdoctoral Fellow in NLP for EEG Analysis at Temple University ==
* Employer: The Neural Engineering Data Consortium, College of Engineering, Temple University
* Title: Postdoctoral Research Fellow
* Topics: Natural Language Processing, Machine Learning, Big Data, EEG Analysis
* Location: Philadelphia, PA
* Deadline: Open until filled
* Date Posted: August 12, 2015
* Contact: Joseph Picone (joseph.picone@gmail.com)

'''Research focus''': The Neural Engineering Data Consortium (NEDC) at Temple University invites applications for a Postdoctoral Fellow position in the area of automated EEG analysis. The Postdoctoral Fellow will contribute to a project that enables comparative research by automatically uncovering clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 14 years at Temple University Hospital (see www.isip.piconepress.com/projects/tuh_eeg for more information). We are developing a proof-of-concept based on the discovery of patient cohorts and provide an annotated BigData archive as well as the software that enabled the annotations and the generation of the patient cohort retrieval system. The candidate will be involved in overseeing the generation of labeled data for machine learning training, developing algorithms to automatically uncover and model structure based on deep
learning principles, implementing an active learning approach that minimizes the amount of labeled data needed and supervising research to automatically extract medical concepts from EEG reports. A large portion of the project focuses in extraction of information from unstructured text, and hence, expertise in natural language processing is important.

'''Supervisor''': Iyad Obeid, PhD and Joseph Picone, PhD

'''Required skills''': The candidate’s primary expertise will be in natural language processing and/or computational linguistics. Proficiency in machine learning and big data techniques is highly desirable. Software engineering experience is also desired.

'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.

'''Length of appointment''': This position is for three years.

'''Available''': October 1, 2015.

'''Compensation''': $42,000/year (NIH standard scale applies).

'''To apply''': Send a CV and cover letter to joseph.picone@gmail.com (see http://www.isip.piconepress.com/images/memorabilia/temple/20150811_postdoc/postdoc_announcement_v00.pdf for more details)

== Postdoctoral Fellow in Sentiment Analysis at McMaster University ==
* Employer: Department of Linguistics, Department of Computing and Software, McMaster University
* Title: Postdoctoral Research Fellow
* Topics: Sentiment Analysis, Natural Language Processing
* Location: Hamilton, ON, Canada
* Deadline: Open until filled
* Date Posted: July 24, 2015
* Contact: Victor Kuperman (vickup@mcmaster.ca)

'''Research focus''': Successful applicants will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

'''Supervisor''': Victor Kuperman, PhD, Fei Chiang, PhD

'''Required skills''': The candidate’s primary expertise will be in natural language processing, sentiment analysis, and/or computational linguistics. Proficiency in machine learning techniques is highly desirable.

'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.

'''Length of appointment''': This position is for two years.

'''Available''': August 1st, 2015.

'''Compensation''': $50,000/year.

'''To apply''': see application procedure at http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

== Postdoctoral Fellow in Natural Language Processing 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
* Location: Boston, MA
* Deadline: Open until filled
* Date Posted: July 11, 2015
* 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 open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

'''Supervisor''': Alexander Turchin, MD, MS, FACMI

'''Required skills''': strong programming and system development skills; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills. Experience in programming in Perl and .NET and experience with natural language processing and medical terminologies / ontologies is a strong plus.

'''Education''': PhD in computer science, biomedical informatics, linguistics, or 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''': August 1st, 2015.

'''Compensation''': according to NIH (NRSA) stipend levels.

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

== Data Scientist - Unstructured Data at Civis Analytics ==
* Employer: [https://civisanalytics.com Civis Analytics]
* Title: Data Scientist - Unstructured Data
* Topics: Natural Language Processing, Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
* Location: Chicago, IL
* Deadline: Open until filled
* Date Posted: June 23, 2015
* Apply Online: [https://civisanalytics.com/careers civisanalytics.com/careers]
* Questions: apply@civisanalytics.com

'''Who We Are'''

Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.

While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.

We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.

Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.

'''Why should you join our team?'''

We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.

We are ''smart'', ''fun'', and ''a little bit weird''. ''Does this sound like you?''

'''Position Overview'''

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.

As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

'''Requirements'''

'''MINIMUM QUALIFICATIONS'''

* Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
* Experience with SQL databases
* Strong programming skills
* Experience identifying and correcting for problems in imperfect data
* An ability and eagerness to constantly learn and teach others

'''PREFERRED QUALIFICATIONS'''

* Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark

'''How to Apply'''

Apply online at: [https://civisanalytics.com/careers civisanalytics.com/careers]

== Postdoctoral Fellow in NLP at University of Pennsylvania ==
* Employer: Dept. of Computer and Information Science, University of Pennsylvania
* Title: Postdoctoral Researcher
* Topics: Natural Language Processing, Unsupervised Learning
* Location: Philadelphia, PA
* Deadline: Open until filled
* Date Posted: June 19, 2015
* Contact: Mitch Marcus (mitch@cis.upenn.edu)

'''Job 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 24 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, and 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.

'''Requirements'''

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 above.

== Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition ==
* Employer: University of Liverpool
* Title: Post-doctoral fellow
* Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
* Deadline: 28th August 2015
* Date Posted: 2nd June 2015
* Apply: http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/

'''Job Description'''

We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.

You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.

The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms. The research topics and approaches are open to negotiation. Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.

More information is available here:
https://sites.google.com/site/sentenceproductionmodel/news

==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
* Employer: UMass Medical School Worcester
* Title: Post-doctoral fellow or Software Engineer
* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
* Deadline: until filled
* Date Posted: 24 May 2015
* apply by contacting elaine.freund@umassmed.edu

'''Job Description'''

We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics. The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.

If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.

General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.

General Summary of Software Engineer Position:
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.

==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
* Employer: IBM Research
* Title: Research Scientist
* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
* Location: San Jose, California, USA
* Deadline: 1 June 2015
* Date Posted: 6 May 2015
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127

'''Job Description'''

IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).

We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.

The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.

'''Required'''

* Master's Degree
* At least 1 year experience in developing advances in Computer Science disciplines
* At least 1 year experience in performing Scientific Research
* English: Intermediate

'''Preferred'''

* Doctorate Degree in Information Technology
* At least 3 years experience in developing advances in Computer Science disciplines
* At least 3 years experience in performing Scientific Research
* English : Fluent

'''Additional Information'''

The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

==PhD position in statistical language modelling==
* Employer: Cardiff University
* Title: PhD scholarship
* Topics: Statistical language modelling, relation extraction, social media
* Location: Cardiff, UK
* Deadline: 1 June 2015
* Date Posted: 7 April 2015
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html

'''Job Description'''

Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.

'''Funding and eligibility'''

This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.

Candidates should:

* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
* or have a masters degree with distinction in the research dissertation in a relevant discipline;
* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
* or be over 25 and have relevant work experience in a position of responsibility.

The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.

Applicants are particularly welcomed from candidates with a background in computer science.

If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.

'''Further information'''

For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html

==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
* Title: Postdoctoral Researcher
* Topics: Natural Language Processing
* Location: Adelphi, MD, USA
* Deadline: Open until filled
* Date Posted: March 17, 2015
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)

'''Job Description'''

The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.

Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics. Areas of interest include: text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.

The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/). ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.

'''Requirements'''

* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field

'''How to Apply'''

If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.

==Postdoctoral Researcher in NLG for Narrative==
* Employer: Liquid Narrative Group, North Carolina State University
* Title: Postdoctoral Research Scholar
* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
* Location: Raleigh NC, USA
* Deadline: Open Until Filled
* Date Posted: March 10, 2015
* Online Application: http://jobs.ncsu.edu/postings/40524

'''Job Description'''

The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.

The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.

He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.

'''Requirements'''

The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
* Experience with developing NLG systems
* Excellent software-design and problem-solving skills
* Good programming skills
* Excellent written and oral communication skills

Experience in the following areas would be a plus:
* Automated discourse planning technologies
* Dialogue generation

'''Position details'''

This is a full-time position.
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015. The position may be extendable depending on availability of funds.

Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.

==PhD-level Researchers in Language Technology or Computational Linguistics==
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
* Title: PhD-level Researchers in Language Technology or Computational Linguistics
* Topics: Natural Language Processing, Summarization, Opinion Mining
* Location: Darmstadt (Germany)
* Deadline: open until the position is filled
* Date Posted: March 4, 2015
* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de

'''Job Description'''

The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:

PhD-level Researchers in Language Technology or Computational Linguistics

The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:

* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
* B1: Structured summaries of complex contents (TU Darmstadt)
* B2: Content selection based on linked lexical resources (TU Darmstadt)
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
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 on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction 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, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). 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 will emphasize close contact between 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.

'''Requirements'''

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. The ICL and the NLP department of the HITS jointly run the graduate program „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 of the above listed guiding themes,
* 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 March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.

==Research staff position in Natural Language Processing==
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
* Title: Research staff position in Natural Language Processing
* Topics: Natural Language Processing, Question Answering
* Location: Darmstadt (Germany)
* Deadline: open until the position is filled
* Date Posted: March 4, 2015
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de

'''Job Description'''

The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.

The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.

'''Requirements'''

We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.

==PhD-position in NLP/Text Mining==
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
* Title: PhD-position in NLP/Text Mining
* Natural Language Processing, Text Mining
* Location: Darmstadt (Germany)
* Deadline: open until the position is filled
* Date Posted: March 4, 2015
* Contact: Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)

'''Job Description'''

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).

Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.

'''Requirements'''

Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.

The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.

Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.

Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.

The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.

== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==

*Employer: University of Notre Dame
*Job Number: 4015639
*Date Posted: 02/17/2015
*Application Deadline: Open Until Filled
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639

'''Job Description'''

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.

'''Required'''

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

'''Desired'''

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
*Employer: Macquarie Group
*Title: Software Engineer/NLG Specialist
*Specialties: Natural Language Generation, Application Development, Linguistics
*Location: Sydney, Australia
*Date posted: 29 January 2015
*Contact information: andy.logan@macquarie.com
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research

'''Job Description'''
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
*New Systems Implementation with Opportunity to push the envelope within Research
*Permanent Opportunity – Sydney CBD Location

'''About the role'''

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

'''Key Responsibilities'''
*Design and Develop our first NLG/NLP Application within Equities Research
*Work closely with the vendor to understand the application limitations and functionality
*Drive the development with the Head of Research as well as industry analysts
*Mature the offering and look for further areas of development within the business

'''About You'''

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

*Tenacity to produce different If Statements and to develop the platform further
*Strong interest in Artificial Intelligence/Machine Based Learning.
*Keen interest in finance
*Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''

== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
*Title: PostDoc
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
*Location: Heidelberg, Germany
*Deadline: 20 February 2015
*Date posted: 29 January 2015
*Contact information: michael.strube (at) h-its.org
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

'''Job Description'''
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).

==Postdoc position in Cardiff (NLP, IR, machine learning)==
*Employer: Cardiff University
*Title: Postdoc
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
*Location: Cardiff, UK
*Deadline: 3 February 2015
*Date posted: 9 January 2015
*Contact information: SchockaertS1@cardiff.ac.uk

'''Job Description'''

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

'''Essential criteria'''

*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) 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, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
*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.

'''Desirable criteria'''

*Knowledge of statistical natural language processing.
*Knowledge of unsupervised and semi-supervised learning.
*Knowledge of relation extraction.
*Experience with analysing large text corpora using a high-performance computing environment.
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

'''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 2972BR.

==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
*Employer: Allen Institute for Artificial Intelligence (AI2)
*Title: Post-doc/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 2015
*Date posted: 12/9/2014
*Contact information: ai2-info@allenai.org, allenai.org

'''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 Post Docs and 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
*Diagram understanding

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 the 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, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

'''Application Process'''

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
* Employer: The Ohio State University
* Title: Assistant/Associate/Full Professor
* Specialty: open, two positions in Data Analytics
* Location: Columbus, OH, USA
* Deadline: January 31, 2015 (Consideration starts November 2014)
* Date Posted: November 17, 2014
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Employment opportunities, postdoctoral positions, summer jobs

2015-02-25T06:09:03Z

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==Internship position available in Natural Language Processing at Adobe Research==
* Employer: Adobe Systems Incorporated
* Title: NLP Scientist Intern
* Natural Language Processing, Machine Learning, Dialog Systems.
* Location: San Jose, CA
* Deadline: open until the position is filled
* Date Posted: February 24, 2015
* Trung Bui: bui@adobe.com

'''Description''':
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.

'''Key Qualifications'''
*Experience with semantic parsing, dialog systems.
*Experience with machine learning, deep learning.
*Good programming skills in Java and/or Python

'''Education'''
M.S. or PhD student in Computer Science or related field

'''Additional Requirements'''
No.

== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==

*Employer: University of Notre Dame
*Job Number: 4015639
*Date Posted: 02/17/2015
*Application Deadline: Open Until Filled
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639

'''Job Description'''

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.

'''Required'''

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

'''Desired'''

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
*Employer: Macquarie Group
*Title: Software Engineer/NLG Specialist
*Specialties: Natural Language Generation, Application Development, Linguistics
*Location: Sydney, Australia
*Date posted: 29 January 2015
*Contact information: andy.logan@macquarie.com
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research

'''Job Description'''
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
*New Systems Implementation with Opportunity to push the envelope within Research
*Permanent Opportunity – Sydney CBD Location

'''About the role'''

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

'''Key Responsibilities'''
*Design and Develop our first NLG/NLP Application within Equities Research
*Work closely with the vendor to understand the application limitations and functionality
*Drive the development with the Head of Research as well as industry analysts
*Mature the offering and look for further areas of development within the business

'''About You'''

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

*Tenacity to produce different If Statements and to develop the platform further
*Strong interest in Artificial Intelligence/Machine Based Learning.
*Keen interest in finance
*Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''

== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
*Title: PostDoc
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
*Location: Heidelberg, Germany
*Deadline: 20 February 2015
*Date posted: 29 January 2015
*Contact information: michael.strube (at) h-its.org
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

'''Job Description'''
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).

==Postdoc position in Cardiff (NLP, IR, machine learning)==
*Employer: Cardiff University
*Title: Postdoc
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
*Location: Cardiff, UK
*Deadline: 3 February 2015
*Date posted: 9 January 2015
*Contact information: SchockaertS1@cardiff.ac.uk

'''Job Description'''

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

'''Essential criteria'''

*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) 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, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
*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.

'''Desirable criteria'''

*Knowledge of statistical natural language processing.
*Knowledge of unsupervised and semi-supervised learning.
*Knowledge of relation extraction.
*Experience with analysing large text corpora using a high-performance computing environment.
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

'''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 2972BR.

==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
*Employer: Allen Institute for Artificial Intelligence (AI2)
*Title: Post-doc/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 2015
*Date posted: 12/9/2014
*Contact information: ai2-info@allenai.org, allenai.org

'''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 Post Docs and 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
*Diagram understanding

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 the 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, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

'''Application Process'''

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.

==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
* Employer: Apple Inc.
* Title: Language Understanding / Dialog Scientist
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
* Location: Cupertino, CA
* Deadline: rolling
* Date Posted: December 2, 2014
* Thomas Kollar: tkollar@apple.com

'''Description''':
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.

'''Key Qualifications'''
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
*Exceptional analytical, troubleshooting and problem solving skills
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
*Strong software engineering skills
*Experience working with multilingual datasets
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus

'''Description'''
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.

'''Education'''
M.S. or PhD in Computer Science or related field

'''Additional Requirements'''
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.

==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
* Employer: The Ohio State University
* Title: Assistant/Associate/Full Professor
* Specialty: open, two positions in Data Analytics
* Location: Columbus, OH, USA
* Deadline: January 31, 2015 (Consideration starts November 2014)
* Date Posted: November 17, 2014
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

==Postdoctoral positions in NLP and text/data analytics at Mayo Clinic ==
* Employer: Mayo Clinic
* Title: Postdoctoral
* Specialty: many, see below
* Location:Rochester, MN, USA
* Deadline: December 25, 2014
* Date Posted: November 6, 2014
* Website: http://www.mayo.edu

Mayo Clinic Natural Language Processing (NLP) Program is currently seeking multiple talented postdoctoral candidates with research interest in NLP, text mining, or predictive analytics to join the program. The appointee will join a diverse team of researchers in Mayo Clinic NLP Program to research on information extraction (IE), information retrieval (IR), and predictive analytics techniques in the big data era for better information access and delivery, document processing, text mining, and advanced analytics in the clinical and biomedical domain.

Key requirements and selection criteria for the position include:
- PhD in Biomedical Informatics, Computer Science, Statistics, Bioinformatics, Computational Linguistics, Artificial Intelligence, or a related discipline
- Demonstrated expertise in some of the following areas: information retrieval, natural language processing, machine learning, data mining, human computer interaction in an IR setting, knowledge extraction and management

Other desirable skills and selection criteria include:
- Knowledge of big data techniques is plus.
- Demonstrated informatics expertise in some of the following areas: literature mining, clinical natural language processing, clinical terminology and ontology, clinical data warehouse and secondary use of EMR applications
- Good interpersonal and communication skills and a demonstrated commitment to working collaboratively inside NLP program and a strong interest and devotion in working with clinicians and biomedical researchers
- Familiar with Unstructured Information Management Architecture (UIMA) framework and programming skills in a variety of languages
- Demonstrated experience in machine learning and statistical techniques and/or experimental design and analysis for clinical and biomedical studies

Team: Mayo NLP program is a hybrid program which aims to conduct the state-of-the-art NLP research and translating NLP research into practical NLP algorithms to facilitate clinical research and practice. The program consists of seven postdoctoral NLP experts and a handful of NLP software engineers. The program plays a significant role in multiple institutional initiatives including i) NLP infrastructure enabled by Big Data, ii) applied informatics in delivering enhanced analytics to the practice, iii) practice analytics which aims to deliver systematic approaches for quality improvement and comparative effectiveness analysis, and iv) knowledge discovery and management which aims to discover and manage domain knowledge and translate it into executable applications in practice.

Terms: The position is available immediately. Mayo Clinic offers an attractive salary (commensurate with qualifications) and benefits package. Mayo Clinic is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.

Application Process: Please email Dr Hongfang Liu with your (1) resume/CV, (2) letter of application/cover letter, and (3) contact information for three references including mailing address, e-mail address, and phone number.

Hongfang Liu, PhD (liu.hongfang@mayo.edu)
NLP Program Director
Associate Professor of Biomedical Informatics
Mayo Clinic, Rochester, MN

Mayo Clinic | Department of Health Sciences Research | Division of Biomedical Statistics & Informatics
200 First Street SW | Rochester, MN 55905 | 507-293-0057 (office)

==Faculty Position at UC Berkeley School of Information (Assistant, Associate, Full) ==
* Employer: UC Berkeley
* Title: Professor (Assistant, Associate, or Full)
* Specialty: many, see below
* Location: Berkeley, CA, USA
* Deadline: December 15, 2014
* Date Posted: October 10, 2014
* Website: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

The UC Berkeley School of Information is seeking a tenured or tenure-track professor with expertise in information organization.
Candidates should have a demonstrated record of relevant research, with expertise in one or more of the following:

search and information retrieval
- automated content analysis, including
- applications to normalizing data and creating metadata, and/or applications to analyzing social science text, such as political text, or other information rich text such as - biomedical, legal, or marketing text;
- practical computational approaches for analyzing information in non-textual formats;
- conceptual modeling of information systems;
- computational approaches to cognition;
- semantic representation and annotation;
- vocabulary and metadata design;
- classification and standardization including policy considerations;
- category learning at scale;
- data wrangling.

A successful candidate will possess appropriate technical expertise and research excellence, and be committed to working on issues related to information and/or information system design and development in a multidisciplinary setting. Relevant professional or industry experience, including hands-on experience with large-scale collections, is also desirable.

Additionally, a successful candidate must be able to teach a course in the design, structure, and use of category systems, data architecture and design for information systems, metadata creation and normalization, and data interchange formats and standards. Additional instructional topics that are desired but not required are database design, natural language processing, and information retrieval and ranking.

Applications are due December 15, 2014.

For more details, see the full job description at: http://www.ischool.berkeley.edu/about/ischooljobs/faculty-info-org

==Post-doctoral position at McMaster University, Canada ==
* Employer: McMaster University
* Title: Postdoctoral Fellow
* Specialty: natural language processing, sentiment analysis, computational linguistics.
* Location: Hamilton, Ontario, Canada
* Deadline: December 20, 2014
* Date Posted: October 23, 2014
* Website: http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

Applications are solicited for a postdoctoral fellowship in the Cognitive Science of Language graduate program at McMaster University for the topic of developing psychologically grounded tools for sentiment analysis. Applicants would have their primary affiliation and work location in the Department of Linguistics and Languages at McMaster University, and will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. You will be expected to participate in a research program that explores individual and group (gender, age) variability in perception and regulation of emotion.

Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Please see the following web page for further details and the application procedure:
http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf

== Post-doc in Bio-NLP Social Media Mining for Adverse Drug Reactions ==
* Employer: University of Liverpool
* Title: Postdoctoral Research Associate
* Specialty: Bio-NLP, Natural Language Processing, Social Media Mining, Web Mining
* Location: Liverpool, United Kingdom
* Deadline: November 14, 2014 17:00 GMT
* Date Posted: October 23, 2014

You will work on the IMI project, WEB-RADR. This is a highly innovative project involving collaboration across the EU and with researchers in the USA which will evaluate the use of social media in identifying adverse reactions to drugs. You will be working between two Faculties (Science & Engineering, and Health & Life Sciences) and the project will be inherently inter-disciplinary. Practical experience of software development, and good knowledge of Bio-NLP tasks such as NER, text classification, and social media analysis are essential to the role. You should have a PhD Level in NLP, Data/Web/Text Mining, or Machine Learning. The post is available until 31 August 2017.

Please see the following web page for further details including job specifications and application form.
http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-586752/

==Tenure-track Faculty Position at University of Michigan School of Information==
* Employer: University of Michigan
* Title: Assistant Professor
* Specialty: Information Analysis and Retrieval
* Location: Ann Arbor, Michigan, USA
* Deadline: November 15, 2014 preferred
* Date Posted: October 22, 2014

https://www.si.umich.edu/prospective-faculty/position-call-information-analysis-retrieval

The School of Information at the University of Michigan (UMSI) seeks a tenure-track professor at the assistant professor level in the areas of information analysis, information retrieval, or “big data.” While we encourage applications from all areas of information analysis and retrieval, we are particularly interested in candidates with strong interest and expertise in creating novel techniques for mining large-scale text, behaviors, and scientific data and in developing visualizations or other interactive tools for data analysis. Applications of particular interest include, but are not limited to, scientific and health data analysis, text analysis, social media analysis and digital humanities.

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

The School is home to vibrant research and teaching programs, with 36 FTE professors, and over 400 students. We offer a Ph.D., a Master of Science in Information, a Master of Health Informatics (joint with the School of Public Health), and a Bachelor of Science in Information.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $1.7 billion and an endowment valued at more than $7.6 billion.

Qualifications:
* Ph.D. in an area such as computer science, information science, statistics, informatics, computational linguistics, or related fields concerned with information analysis and retrieval
* Demonstrated potential and strong commitment to successful teaching at the undergraduate and graduate level
* Demonstrated potential for high scholarly impact
* A strong commitment to connecting information, technology, and people that values interdisciplinary research, and cultural diversity

Review of applications will begin on November 15, 2014 and will continue until the position is filled. For questions about potential fit and your application please contact Dr. Qiaozhu Mei (qmei@umich.edu).

Application materials required: cover letter, curriculum vitae (CV), research statement, teaching statement, three representative publications, and contact information for three references. For more information or to apply, please visit http://apply.interfolio.com/27182.

In addition to this position, the UMSI is also looking for applicants in the area of human-computer interaction, communication and technology, and health informatics.

==Asst/Assc/Full Professor, Ames, Iowa==
* Employer: Iowa State University
* Title: Assistant, Associate, or Full Professor
* Specialty: Natural Language Processing
* Location: Ames, Iowa, USA
* Deadline: December 3, 2014
* Date Posted: October 21, 2014

Iowa State University has launched the Presidential High Impact Hires Initiative to support targeted faculty hiring in areas of strategic importance. As part of the initiative, the Department of English and the College of Liberal Arts and Sciences invite applications for an Assistant, Associate, or Full Professor in natural language processing with an emphasis in educational applications, particularly analysis of students’ linguistic production. At the undergraduate level, the selected faculty will teach basic courses in English and Linguistics, and at the graduate level, courses in Applied Linguistics and Technology and in Human-Computer Interaction. Potential graduate course content includes programming for NLP, computational analysis of English, statistical analysis of language, discourse analysis, second language acquisition, sentiment analysis, language-based analytics, speech-driven user interfaces or automated content analysis, according to specialty. Research areas of particular interest are pedagogical applications of natural language processing, assessment of learners’ developing language ability, second language acquisition, statistical approaches to the study of language, and the analysis of discipline-specific language. The position begins August 2015.

The Applied Linguistics and Technology and the Human-Computer Interaction programs attract forward-looking students, who create an exciting intellectual environment. The programs are part of the Department of English, which offers BA degree programs in English, Literature, Rhetorical Studies, and Speech Communication; a BS degree in Technical Communication; as well as—in partnership with the Department of World Languages and Cultures—a minor in World Film Studies. On the graduate level, the department offers MA degrees in Literature; Rhetoric, Composition, and Professional Communication; TESL/Applied Linguistics; as well as an MFA program in Creative Writing and the Environment. The department also offers two PhD programs in Applied Linguistics and Technology and Rhetoric and Professional Communication. The Department of English is committed to diversity among faculty, staff and students who can enrich University objectives in the areas of research, teaching, and service. For more information, see http://www.engl.iastate.edu/.

Iowa State University is classified as a Carnegie Foundation Doctoral/Research University-Extensive, a member of the Association of American Universities (AAU), and ranked by U.S. News and World Report as one of the top public universities in the nation. Over 34,000 students are enrolled, and served by over 6,100 faculty and staff (see www.iastate.edu). Ames, Iowa is a progressive community of 60,000, located approximately 30 minutes north of Des Moines, and recently voted second best most livable small city in the nation (see www.amescvb.com).

Iowa State University is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women, underrepresented minorities, and veterans. ISU is responsive to the needs of dual career couples, is dedicated to work-life balance through an array of policies, and is an NSF ADVANCE institution.

All faculty members are expected to exhibit and convey good citizenship within the program, the department, college, and university activities and collegial interactions, and maintain the highest standards of integrity and ethical behavior.

A PhD by time of appointment in computational linguistics, natural language processing, or related field for all ranks. Assistant Professor, tenure-track- The potential for excellence in research and effectiveness in teaching; Associate Professor – A demonstrated record of accomplishments in scholarship, including an outstanding publication record, demonstrated ability to obtain research funding and effectiveness in teaching; Full Professor – A demonstrated record of intellectual leadership through high-impact scholarship, including an outstanding publication record, program of funded research and effectiveness in teaching. Language teaching experience and language assessment experience preferred.

Please apply for this position through the Iowa State University website at www.iastatejobs.com (Posting #400050) or by visiting http://www.iastatejobs.com/postings/7815 and click on "Apply to this Job". Please be prepared to enter or attach the following: a letter of application/cover letter, curriculum vitae, statement of teaching/research interests, transcript or list of graduate courses taken, and contact information for three references. Priority consideration will be given to applications received by December 3, 2014.

Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against. Inquiries can be directed to the Director of Equal Opportunity, 3350 Beardshear Hall, (515) 294-7612.

==Computational Linguist, Wrocław, Poland==
* Employer: Wrocław University of Technology
* Title: Computational Linguist
* Specialty: Natural Language Engineering, Computational Linguistics
* Location: Wrocław, Poland/other
* Deadline: until filled
* Date Posted: October 15, 2014

'''Team'''

The academic group G4.19 brings together those interested in linguistics, computational linguistics, and natural language engineering. The Group develops and implements tools for natural language processing. The main focus is on the development of basic tools and language resources for Polish. The Group participates in a number of research projects, among others it coordinates the CLARIN-PL project: http://www.clarin-pl.eu.

'''Job description'''
* designing algorithms for the analysis of natural language texts, based on the combination of linguistic knowledge and methods of artificial intelligence (including machine learning, rule-based methods and methods of statistical analysis),
* developing computer systems related to natural language processing and coordinating the work of small teams of programmers (conducting test and research experiments),
* active participation in the ongoing research projects (planning and realisation of experiments , data processing, realisation of dedicated research tasks of varying complexity),
* active participation in preparing applications for new research grants,
* active participation in writing research papers.

'''Requirements'''
* enthusiastic approach to research and development of language technology for Polish,
* good knowledge of at least one of the languages: C ++, Python or Java,
* very welcome good knowledge of Polish,
* knowledge of English sufficient for reading scientific publications and technical documentation,
* welcome knowledge of Linux, Git, UML,
* the preferred candidates should hold PhD degree in computer science, but we do not exclude candidates holding PhD degree in a different field or those at the advanced stage of work on their PhD.

'''We offer'''
* participation in large research projects at national and international level,
* good basis for a scientific career and an opportunity of writing a dissertation,
* for PhD students: possibility of employment on a research assistant post,
* choice of form of employment (contract or other),
* attractive salary (in terms of market, not university wages),
* interesting job in a dynamic team,
* flexible working hours,
* flexible working time.

If interested, please send your CV and list of publications to: clarin-pl@pwr.edu.pl

The application must include a statement: "I hereby agree for processing my personal data for the purpose of the recruitment process (in accordance with Personal Data Protection Act dated 29.08.1997, Journal of Laws of the Republic of Poland No. 133, item 883)."

We kindly inform you that we will contact selected candidates only.

==Language Processing, Edinburgh, Scotland==
* Employer: Daxtra Technologies (http://www.daxtra.com)
* Title: Research Application Developer
* Specialty: Natural Language Processing
* Location: Musselburgh, nr Edinburgh, Scotland
* Deadline: until filled
* Date Posted: October 10, 2014

'''Job Description:'''

Daxtra Technologies are looking for people with a background in applied language/text processing to join the R&D team in Edinburgh. Daxtra (a spin-out from the University of Edinburgh) is the leading provider of Natural Language Processing techniques

You will be involved in multilingual grammar engineering, development of statistical text classifiers and search/retrieval components. Apart from a strong background in text processing you will need to demonstrate good experience in computer programming.

'''Location:'''

Daxtra Technologies headquarters in Musselburgh, nr Edinburgh, Scotland

'''How to Apply:'''

For further details or to send us your CV/resume, please contact a.nazarov@daxtra.com

==Computational Linguists==
* Employer: The Lingua Team
* Title: Computational Linguist
* Specialty: Natural Language Processing
* Location: Seattle or remotely
* Deadline: ASAP
* Date Posted: September 22, 2014

'''Description:'''
We are looking for several candidates (one for each of the languages advertised) with an advanced degree in Linguistics, or with Computational linguist background. The projects involve morphology tagging and/or linguistic analysis, but they can be done remotely. Languages: French, German, Spanish, US English, Japanese, Brazilian Portuguese, Finnish, or Polish. Please, provide a resume with your email application.

'''Qualifications:'''
* Computational Linguistics and/or advanced Linguistics degree
* Experience drafting grammars or adapting an existing grammar to a second language
* Programming experience desirable
* Full understanding of inflectional and derivational morphology, POS, lemmatization, etc.

'''Location:'''
Seattle, WA or remote

'''How to Apply:'''
Send your resume to info@thelinguateam.com

== Visiting Student Position in Spoken Language Understanding (NLP+Speech+ML) / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Visiting student researcher
* Specialty: Machine learning, NLP, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: Sept 10, 2014

'''Job Description'''

Applications are sought for a paid visiting student position as part of a broad interdisciplinary project on spoken language understanding involving natural language processing, speech processing, and machine learning. The visiting student will work primarily with TTI-Chicago faculty Mohit Bansal (http://ttic.edu/bansal), Karen Livescu (http://ttic.edu/livescu), and Kevin Gimpel (http://ttic.edu/gimpel), and will also have opportunities to collaborate with other TTIC and University of Chicago faculty/researchers as relevant.

The position will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, speech and language processing, and computer vision. The duration of the position is flexible (6 to 18 months).

The target start date is Fall or Winter 2014. Compensation includes stipend and tuition (if applicable). The position will remain open until filled.

'''Responsibilities'''

The broad goal of the work is to advance text-based NLP tasks (e.g., syntactic parsing) via speech cues, using and developing deep learning and multi-view learning techniques. The specific focus of the student’s project will be determined by mutual agreement based on the student's background and interests.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning (preferably deep or multi-view learning), and ideally also natural language processing (preferably syntactic parsing) or speech processing. Applicants should have a Bachelor’s degree in a related field, preferably pursuing a MS/PhD degree. There are no citizenship requirements for this position.

'''How to Apply'''

Please direct questions and interest in the position to slu-job@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* two or more letters of reference (preferably directly emailed to slu-job@ttic.edu, or contacts who can supply letters on request)

Please see http://ttic.edu/bansal/slu-job.html for more information.

== NLP-Speech Data Scientist / Civis Analytics / Chicago, IL, USA ==

* Employer: Civis Analytics
* Title: Data Scientist
* Specialty: Natural Language Processing / Speech Processing / Machine Learning
* Location: Chicago, Illinois, USA
* Deadline: Rolling
* Date Posted: July 7, 2014

'''Who We Are:'''

Our Company is a Chicago-based Big Data analytics firm born in a large windowless back room of President Obama’s 2012 re-election campaign. We called it “The Cave.”

Beginning with the campaign, our mission as a team has been clear: help great organizations use their Big Data to solve their biggest problems. We are now applying our analytical expertise, specialized software, and innovative technological approach to help companies, non-profits, and campaigns leverage their data to develop smarter strategies, make better decisions, and build stronger, data-driven organizations. In the year since our company’s founding, we have helped solve problems as diverse as enrolling individuals for health insurance, optimizing TV ad purchases to reach more targets, and pinpointing individuals who want to sign up for a clean energy utility company.

We are not a group of spreadsheet management consultants; we are an inventive team of the best statisticians, scientists, engineers, and technologists in our fields building things that have never been built before. And we’re looking to add to our team.

We are already solving some of the world’s most demanding and complex problems with Big Data – working with organizations to analyze and understand their individual level intelligence to improve outcomes and implement organizational change. We work on teams with diverse skill sets to apply and invent new data science techniques, putting us at the forefront of innovation in our field as we solve problems that have never been solved before.

We are smart, fun, and a little bit weird. Does this sound like you?

'''Job Description:'''

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research. As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas.

With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

'''Minimum Qualifications:'''

* Master’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering, or a Bachelor’s degree and outstanding work experience
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision.
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
* Experience with SQL databases
* Strong programming skills
* Experience identifying and correcting for problems in imperfect data
* An ability and eagerness to constantly learn and teach others

'''Preferred Qualifications:'''
* PhD in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
* Ability to expand upon modern statistical learning methods
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
* Theoretical understanding sufficient to independently implement complex neural network architectures

'''Location:'''

This posting is for a position in Civis’ Chicago headquarters.

'''Dates:'''

We are hiring for multiple positions and will evaluate candidates as applications are received.

'''How to Apply:'''

Applications may be submitted at http://www.civisanalytics.com/apply/entry/data-scientist-chicago-il.
Specific inquiries may be directed to Derrick Higgins: [mailto:dhiggins@civisanalytics.com dhiggins@civisanalytics.com].

== Postdoc in Natural Language Processing / Aix-Marseille University / Marseille, France ==

* Employer: Aix-Marseille University
* Title: Postdoc
* Specialty: Natural Language Processing
* Location: Luminy, Marseille, France
* Deadline: July 1st, 2014
* Date Posted: June 12, 2014

'''Job Description:'''

We are looking for an outstanding research scientist to join the "SENSEI" european project (http://www.sensei-conversation.eu/). You
will contribute to conversation analysis summarization research to
allow the exploitation of large quantity of comments in social
media and spoken conversations.

You will contribute to the design and development of speech and text
summarization technologies for conversational data such as social
media comments and tweets. There will be three components to the
system: linguistic analysis of the conversations, content selection
and aggregation, and generation of the summaries (text or other
media). The approach is expected to make use of recent machine
learning advances such as deep learning, and focus on limiting the
quantity of supervision needed. The prototype will be evaluated by
end-user professionals in ecological conditions.

'''Qualifications:'''

The applicant must hold a PhD degree, preferably in the field of
natural language processing or machine learning. He/she should:
* Be proficient in one of Java / C++ programming and python or php scripting
* Have experience with developing efficient NLP / machine learning systems.
* Be keen on researching the literature and writing papers
* Enjoy team work and be autonomous

'''Location:'''

You will work at the LIF computer science lab at Aix-Marseille
University in France, at the Luminy campus next to the
calanques.

'''Dates:'''

Interviews will be held in July 2014, the Postdoc will start in
september / october 2014 and last one year.

'''How to Apply:'''

Enquiries and applications should be sent to Benoit Favre: benoit.favre@lif.univ-mrs.fr

== Executive Director / CLARIN ERIC / Utrecht University, the Netherlands ==

* Employer: CLARIN ERIC through Utrecht University
* Title: Executive Director
* Specialty: Research Infrastructures
* Location: Utrecht University, the Netherlands
* Deadline: August 15, 2014
* Date Posted: June 10, 2014

'''Job Description:'''

CLARIN is one of the two big humanities pan-European research infrastructures on the ESFRI roadmap with global ambitions, expected to expand rapidly in the near future. It currently has about 25 centres in 10 countries and the number is growing. At the same time CLARIN is participating actively in several emerging global data infrastructure initiatives (e.g. RDA, EUDAT). In addition it is actively pursuing its collaboration with other international humanities research infrastructures such as DARIAH.

As our current Executive Director is retiring, CLARIN is looking for an inspiring person to continue this successful enterprise and lead it to the next level.

The main challenges the new executive director needs to lead on in the next years are: the expansion and the sustainability of CLARIN, to balance the central and distributed activities, increase outreach to new user communities, new collaboration partners and new continents, and to promote collaboration with commercial partners.

'''Responsibilities:'''

* Leading the Board of Directors of the CLARIN ERIC
* Building on prior work, drafting strategy, work programme, budget and staff plan for CLARIN
* Planning the technical development together with the Technical Director, overseeing the implementation and operation of the distributed infrastructure and coordinating centre cooperation
* Ensuring the long-term sustainability of CLARIN and guiding its European and global expansion
* Building strong pan-European and international relationships with a broad range of stakeholders within and outside the consortium. This includes CLARIN members, the relevant ministries and funding bodies, external language resource providers, the EU, and international bodies, including research infrastructures on the European Strategy Forum on Research Infrastructures (ESFRI) Roadmaps as well as other research infrastructures
* Leading the international fundraising efforts for CLARIN
* Monitoring and measuring CLARIN’s activities and reporting to General Assembly
* Specifically, monitoring the adherence of the national consortia to the operational rules and standards for CLARIN-related operations, and developing recommendations for counter-measures for any irregularities
* Ensuring that CLARIN’s services comply with appropriate ethical, legal and societal norms and principles
* Planning, organizing, and managing the main office in Utrecht, which includes recruitment
* Facilitating and supporting the operation of CLARIN’s governance bodies

'''Qualifications:'''

* A higher university degree or equivalent qualifications and an international interdisciplinary network
* Relevant experience in the European Research Area, international arena, as well as in European level funding mechanisms and understanding of the ESFRI process
* An understanding of current and emerging agendas and challenges in data management and curation in the humanities domain
* Excellent communicative skills
* A proven fundraising record
* A record of relevant academic excellence
* The ability to understand organisational and technical issues involved in building, maintaining, and federating digital repositories, catalogues, authentication services, and similar infrastructure components based on modern information technologies

'''How to Apply'''

For more information, please visit http://www.clarin.eu/news/vacancy-advertisement-executive-director

== Research Scientist in Natural Language Technologies / Bosch Research & Technology Center / Palo Alto, California ==

* Employer: Bosch Research & Technology Center
* Title: Research Scientist in Natural Language Technologies (PhD)
* Specialty: Natural Language Processing
* Location: Palo Alto, California, United States, 94304
* Deadline: Until filled
* Date Posted: May 19, 2014

'''Job Description:'''

The Language Interaction and Knowledge Engineering group of Bosch Research in Palo Alto, CA is responsible for shaping the future user experience of Bosch products by creating cutting-edge technologies. We collaborate closely with leading universities on solutions to hard challenges in speech, language, knowledge topics to enable natural, intuitive and intelligent communication between humans and computers. We work with internal partners to transfer our ideas and solutions into future products. Over the years, we have already developed innovative world-leading technologies in the areas of human machine interaction (HMI) systems.

To strengthen the Language Interaction and Knowledge Engineering team in our Palo Alto office we are seeking enthusiastic and creative researcher with a strong desire to drive technology development in this area.

'''Responsibilities:'''

* Develop large-scale natural language technologies and components, and improve the state-of-the-art HMI system performance with various methods
* Together with a team of experts, adapt and integrate language processing components into Bosch HMI system for different business areas
* Communicate with business departments about the technology potentials as well as identify potential areas of business values.

'''Qualifications:'''

* Ph.D. in Computer Science or related fields
* Strong research background in natural language technology development and applications, text mining, machine learning, and statistics
* Hands-on experience with natural language processing, text mining and machine learning algorithm implementation
* Strong skills in coding (C/C++ or Java), algorithms and system design
* Very good communication skill together with good quality publication
* Experience in text summarization research and development is a plus
* Experience in large system development and speech technology is a plus

'''How to Apply'''

For more information, and to apply online, please visit http://bit.ly/1k8UZ57

== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==

* Employer: Toyota Technological Institute at Chicago
* Title: Post-doctoral scholar
* Specialty: Machine learning, NLP, computer vision, speech
* Location: Chicago, IL, United States, 60637
* Deadline: Until filled
* Date Posted: May 12, 2014

'''Job Description'''

Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.

The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.

The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan. The position will remain open until filled.

'''Responsibilities'''

The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.

Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.

'''Qualifications'''

Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field. There are no citizenship requirements.

'''How to Apply'''

Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:

* brief cover letter, describing your interest in and qualifications for the position
* curriculum vitae including publication list
* contact information for two or more researchers who can provide letters of reference

Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.

== Postdoctoral Fellow / INRIA / Saclay ==
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
* Title: PostDoc (12 months)
* Specialty: Natural Language Processing
* Location: Palaiseau, Ile-de-France, France
* Deadline: June 30, 2014
* Date Posted: May 6, 2014

'''Job Description'''

The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.

'''Duties'''

Reporting to the Dr. Gregory Grefenstette, your
typical duties will include the following:

* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
* Discover and adapt existing open data taxonomies to the platform;
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources

'''Required Qualifications'''

The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
science, computational linguistics or a related discipline.
* Experience with natural language processing (e.g., Stanford Parser)
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
* Experience with classification algorithms
* Familiarity with dealing with large, noisy data sets
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
* Desire to produce functioning end-to-end systems, life-scale live demos
* Scientific rigour
* Imagination

'''How to Apply'''

Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242

Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.

'''About Us'''

Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..

For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014

== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
* Employer: University of British Columbia and BC Cancer Agency
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Vancouver, British Columbia, Canada
* Deadline: Until filled
* Date Posted: March 26, 2014

'''Job Description'''

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
Technology Lab to conduct scientific research in the areas of bioinformatics and
genomics, specifically related to automated analysis and annotation of cancer
research literature.

The successful applicant will work with trainees and research scientists in a team
that develops tools for a clinical genomics pipeline based on primary sequence
analysis, to build natural language processing and machine learning tools that
interpret identified mutations for their biological significance as they relate
to reports in the relevant literature.

'''Duties'''

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
typical duties will include the following:

* Building natural language processing and machine learning tools for automated literature survey
* Analysis and annotation of data from genomics studies as they relate to the literature
* Collaborating with biologists and clinical researchers on the accuracy of the results
* Reporting research methods and results in meetings, seminars and conferences
* Contribution to and leading scientific publications and research proposals

'''Required Qualifications'''

The ideal candidate should possess a PhD degree and recent proven experience in computer
science, electrical engineering or a related discipline. A strong publication record in
the field, and demonstrated technical writing skills are highly desirable. Prior research
experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending
successful funding.

'''How to Apply'''

Please send your resume with cover letter to bcgscjobs@bcgsc.ca
We request that you specify the position you are applying for by identifying the Job Code
only ("PDFBTL 14-03-27") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
residents will be given priority.

'''About Us'''

Genome Sciences Centre is a leading international institution for genomics and bioinformatics
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
* Employer: University of Massachusetts Medical School
* Title: PostDoc
* Specialty: Natural Language Processing, Machine Learning
* Location: Worcester, Massachusetts, United States, 01605
* Deadline: Until filled
* Date Posted: March 26, 2014

'''Job Description'''

We are seeking 1~2 highly motivated postdoctoral research associate to
join the Biomedical Natural Language Processing (BioNLP) group at
UMass Medical School and UMass Amherst. This position will primarily
be located at the UMass Medical School in Worcester, MA. The BioNLP
group is actively pursuing many exciting projects including:
information retrieval, information extraction, summarization, question
answering, data mining, and patient-centered research. A highly
productive candidate may transition to a faculty position.

'''Responsibilities'''

The successful candidates will help investigate new algorithms to
support our current research thrusts. This will require extensive
experience with data mining (DM) and natural language processing (NLP).

'''Qualifications'''

Candidates for this position should have a PhD in Computer Science or
related field and a significant research record including
publications in top conferences and journals in:

* Natural Language Processing
* Machine Learning
* Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
extensive research experience in hands-on machine learning (ML) and
data mining (DM), is essential. Additional experience in
bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research
environment, will work closely with clinical investigators and senior
personnel in the lab, and should have the ability to work effectively
both independently and as part of a multidisciplinary team. The
position will be for one year, renewable annually, starting Summer or Fall 2014.

'''How to Apply'''

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
include a brief letter of introduction, a CV including list of
publications in PDF format, and names and email addresses of 2-3 referees.

'''Background'''

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==

* Employer: Educational Testing Service
* Title: Research Director NLP and Speech Processing
* Specialty: Natural Language Processing / Speech Processing
* Location: Princeton, New Jersey, United States, 08541
* Deadline: Until filled
* Date Posted: March 12, 2014

'''Job Description:'''

ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

'''Requirements:'''

To qualify, you must possess:
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

'''How to Apply:'''

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

'''Information about the institute:'''

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==

* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
* Title: Research Intern
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
* Location: Darmstadt/Frankfurt am Main, Germany
* Deadline: Until filled
* Date Posted: January 20, 2014
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

'''Job Description:'''

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

'''Requirements:'''

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.

'''How to Apply:'''

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.

'''Information about the institute:'''

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.

== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==

* Employer: The German Institute for International Educational Research (DIPF)
* Title: Research Scientist
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
* Location: Frankfurt am Main, Germany
* Deadline: February 14, 2014
* Date Posted: January 13, 2014
* Contact email: gurevych (at) dipf (dot) de

'''Information about the institute:'''

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.

'''Job Description:'''

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

'''Requirements:'''

* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
* Very good English language skills (written and spoken) and at least basic knowledge of German;
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

'''How to apply:'''

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==

* Employer: The German Institute for International Educational Research (DIPF)
* Title: Research Scientist
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
* Location: Frankfurt am Main, Germany
* Deadline: February 14, 2014
* Date Posted: January 13, 2014
* Contact email: gurevych (at) dipf (dot) de

'''Information about the institute:'''

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

'''Job Description:'''

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

* Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.

The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

'''Requirements:'''

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
- Very good English language skills (written and spoken) and at least basic skills in German;
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
- Experience in coordinating distributed software development and its Integration;
- Experience in conceptualising and conducting events for scientists, users, and the public.
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

'''How to apply:'''

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.

== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==

* Employer: Institute of Information Science, Academia Sinica
* Rank or Title: Assistant/Associate/Full Research Fellow
* Specialty: Chinese Natural Language Processing and Knowledge Representation
* Location: Taipei, Taiwan
* Deadline: Open until filled
* Date Posted: January 7, 2014
* Contact email: recruit@iis.sinica.edu.tw

'''Job Description:'''

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

'''Required Qualifications:'''

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

'''How to Apply:'''

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==

* Employer: Johns Hopkins University
* Rank or Title: Postdoctoral Fellow
* Specialty: Computational Linguistics/Cognitive Science
* Location: Baltimore, MD, USA
* Deadline: February 17, 2014 or until filled
* Date Posted: January 7, 2014
* Contact email: INSPIREpostdoc@jhu.edu

'''Brief Job Description:'''

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

'''Detailed Job Description:'''

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

* general-purpose software to support symbolic-level computation over gradient symbol structures

* general-purpose software for simulating neural network implementations of this gradient symbolic computation

* new machine-learning algorithms, including deep compositional networks

* new theories of compositional vector-space semantics and new neural-network architectures for implementing them

* new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

'''How to Apply:'''

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.