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* '''[[Instructions for Posting Job Ads]]'''
* [[Instructions for Posting Job Ads]]
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* See also the [http://linguistlist.org/jobs Linguist Job List].
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
 
* Archived postings:
 
* Archived postings:
** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2016|2016]] - [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
 
* Employer: Nuance Communications, Inc.
 
* Rank or Title: NLP Research Scientist
 
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
 
* Location: Sunnyvale, CA, USA
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: November 20th, 2012
 
* Contact email: Jennifer.Garvale@nuance.com
 
  
'''General Description'''
+
== Visiting Assistant Professor in Computational Linguistics and Language Science at RIT ==
 +
* Employer: Rochester Institute of Technology
 +
* Rank or Title: Visiting Assistant Professor in Computational Linguistics and Language Science
 +
* Speciality: Computational linguistics and/or innovative technical or scientific methods in language science
 +
* Location: Rochester, NY, USA
 +
* Deadline: November 25, 2017 (Review of applications begins.)
 +
* Date Posted: November 16, 2017
 +
* Contact: Cissi Ovesdotter Alm (coagla@rit.edu) and [http://apptrkr.com/1116776 http://apptrkr.com/1116776]
  
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:
+
'''Detailed Job Description:'''<br>
  
* Dialog processing
+
The Department of English invites applications for a Visiting Assistant Professor position, beginning in January 2018, with specialization in computational linguistics and/or innovative technical or scientific methods in language science at Rochester Institute of Technology (RIT), with a focus on one or more areas of application. Possible areas include:
* Discourse and anaphora resolution
+
 
* Multimodal generation
+
*  Deep learning for natural language understanding
* Parsing
+
*  Speech and speech technology
* Entity recognition
+
*  Multimodal and linguistic sensors
* Morphology
+
*  Human-computer interaction
* Multilingual NLP
+
*  Linguistic narrative analytics


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


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


* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
 
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
 
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.  
 
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
 
* Collaborate with other scientists and engineers inside and outside of the team.
 
* Patent or publish experimental results or designs when appropriate.  
 
  
'''Education/Experience'''
+
The teaching assignment may be Introduction to Language Science, Language Technology, Introduction to NLP, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, self-designed courses, or another course depending on background.


* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
 
* Solid track record in both projects and publications for natural language processing.
 
* Solid implementation skills in C++, Java, scripting languages.
 
* Knowledge of both statistical and rule-based methods for natural language processing.
 
  
 +
We are seeking an individual who has the ability and interest in contributing to a community committed to student-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT's [http://www.rit.edu/academicaffairs/policiesmanual/p040 core values], [http://www.rit.edu/academicaffairs/policiesmanual/p030 honor code], and [http://www.rit.edu/academicaffairs/policiesmanual/p050 statement of diversity].
  
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com. For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com.
+


'''Department Description:'''<br>
 +

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


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


  
 +
'''Job Requirements:'''<br>
 +
* Ph.D. with training in Computational Linguistics, Linguistics, or an allied field for language science, in hand prior to appointment date.
 +
* Advanced graduate coursework in computational linguistics, including natural language and/or spoken language processing or technical methods in linguistics.
 +
* Publication record and coherent plan for research and grant seeking activities.
 +
* Evidence of outstanding teaching.
 +
* Ability to contribute in meaningful ways to the college's continuing commitment to cultural diversity, pluralism, and individual differences.


  
==Postdoctoral Fellowship - Natural Language Processing==
+
'''How to Apply:'''<br>
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
+
Apply online at [http://apptrkr.com/1116776 http://apptrkr.com/1116776]. Please submit your online application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
+
* A research statement
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
+
* A teaching statement
* Location: Cincinnati, OH, USA
+
* Copy of transcripts of graduate coursework
* Deadline: Applications accepted until position is filled
+
* A sample publication 
* Date Posted: November 9th, 2012
+
* The names, addresses, and phone numbers for three references

* Contact email Imre.Solti@cchmc.org
+
* [http://www.rit.edu/academicaffairs/policiesmanual/p050 Statement of diversity]
  
'''Position and Requirements'''
+
Questions regarding this position can be directed to the search committee chair-Dr. Cecilia Ovesdotter Alm at coagla@rit.edu.
Are you a recent PhD graduate or getting ready to graduate with a degree in computational linguistics, computer science, artificial intelligence or closely related field? Do you want to apply your computational skills, machine learning and NLP experience to solve real world challenges to help patients by automating the clinical decision making? Do you have excellent command of both written and oral English, and first author peer reviewed journal publications?
 
  
If the answers are yes and you would like to join our team of seven dedicated researchers, programmers and annotators then please, send your most recent CV, a brief research statement and three publications in PDF file format to: Imre.Solti@cchmc.org (include "Postdoctoral Fellow - ACL Wiki" in the subject line).
+

Review of applications will begin on November 25, 2017 and will continue until an acceptable candidate is found.
  
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
+
RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion. For more information or inquiries, please visit [http://www.rit.edu/fa/humanresources/ RIT/TitleIX] or the U.S. Department of Education at [https://wdcrobcolp01.ed.gov/CFAPPS/OCR/contactus.cfm ED.Gov].
 +
 
  
'''About the Institution'''
+
== Post-doctoral positions on interpretable vector space embeddings, Cardiff University, UK ==
Cincinnati Children's has over one million physician-patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The hospital has over 12,000 employees. The Division of Biomedical Informatics manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
 
  
 +
* Employer: Cardiff University
 +
* Title: Postdoctoral research associate
 +
* Specialty: Knowledge graphs, conceptual spaces, vector space embeddings, statistical learning, neural networks
 +
* Location: Cardiff, UK
 +
* Deadline: 10 December 2017
 +
* Date posted: 10 November 2017
 +
* Contact: [mailto:schockaerts1@cardiff.ac.uk schockaerts1@cardiff.ac.uk]
  
== Research Programmer position - speech and language processing ==
+
Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of the ERC funded project FLEXILOG. The overall aims of this project are (i) to learn interpretable vector space embeddings (or conceptual spaces) from a variety of structured and unstructured information sources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/
* Employer: University of Minnesota
 
* Location: Minneapolis, Minnesota, USA
 
* Deadline: open until filled
 
* Date posted: November 7, 2012
 
* Duration: Minimum 2 years committment
 
* Informal inquiries can be sent to Serguei Pakhomov at spakh001@gmail.com
 
  
'''General Description'''
+
Specifically, the aim of these posts will be to contribute to one or more of the following:
The College of Pharamcy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer’s disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be expected to interact with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.
 
  
'''Skills and characteristics'''
+
* to develop methods for statistical reasoning from sparse relational data, which exploit vector space representations to impose cognitively inspired forms of regularization (e.g. the fact that concepts tend to correspond to convex regions).
 +
* to develop methods for learning modular and interpretable vector space representations of events, which can be used to predict how events will impact the actors involved (and the entities related to them), as well as the likelihood of related future events.
 +
* to evaluate these methods in applications such as zero-shot learning, textual entailment, reading comprehension, automated knowledge base completion, and entity retrieval.
  
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
+
Successful candidates are expected to have excellent programming skills, as well as a strong background in natural language processing, machine learning, or knowledge representation.
  
* Required Skills: Excellent analytical, technical and problem-solving skills. Deep understanding and experience with audio and speech processing. Strong application programming skills in C/C++,  Java, Python and/or Perl programming languages. Familiarity with speech recognition toolkits and APIs (e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat) and good understanding or experience with speech recognition and analysis technology.
+
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.  
  
* Preferred skills and characteristics: Familiarity with natural language processing (NLP) techniques and toolkits (e.g., NLTK). Experience with programming applications for mobile devices. Familiarity with computerized or paper-and-pencil neuropsychological testing.  
+
'''More information''': <br>
 +
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
* Other: The successful candidate will be a self-motivated and proactive individual, a good communicator interested in working in an academic environment. Participating in research and experimentation leading to scientific publication are not required but would be highly encouraged and supported.
 
  
If you are someone who has the necessary skills and thrives on working in an exciting and dynamic research environment, please send us a letter stating your interest and qualifications, and a resume. Please use this website to apply: https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=576008. 
+
== Post-doctoral position in deep learning for natural language understanding at Idiap, Switzerland ==
  
 +
* Employer: [http://www.idiap.ch/ Idiap Research Institute], Martigny, Switzerland
 +
* Title: PostDoc
 +
* Specialty: deep learning for natural language understanding
 +
* Location: Martigny, Switzerland
 +
* Deadline: until position filled
 +
* Date posted: November 8, 2017
 +
* Contact: [mailto:james.henderson@idiap.ch james.henderson@idiap.ch]
  
 +
The Idiap Research Institute seeks qualified candidates for a Postdoc position in the field of natural language understanding. The research will be conducted in the framework of EU H2020 and IARPA projects, in collaboration with international consortia.
  
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
+
The successful candidate will work with Dr. James Henderson (http://cui.unige.ch/~hendersj/) within the Natural Language Understanding group at Idiap, and have the opportunity to collaborate with other world-class researchers in machine learning, natural language processing and speech recognition at Idiap, their project partners, and nearby EPFL. The NLU group has expertise in representation learning and deep neural network structured prediction applied to syntactic/semantic parsing, semantic entailment, machine translation, information retrieval and other NLP tasks.
* Employer: Sapienza University of Rome
 
* Location: Rome, Italy
 
* Deadline: 18th October 2012
 
* Date Posted: 01st October 2012
 
* Starting date: 1st December 2012
 
* Duration: 1+1 years
 
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
 
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
  
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
+
The research will investigate deep learning architectures for cross-lingual natural language understanding and indexing. The focus can include end-to-end integration with neural speech recognition, cross-lingual and compositional representation learning, low-resource training methods, machine translation, summarisation and cross-lingual information retrieval.
  
'''REQUIREMENTS/QUALIFICATIONS'''
+
The ideal candidate should hold a PhD degree in computer science or a related field. She/he will have a background in natural language processing and/or machine learning, with strong programming skills and an excellent publication record.  Familiarity with deep learning toolkits will be an advantage.
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
The Postdoc position is offered on a one-year basis with the possibility of renewal based on funding and performance, with a starting salary of 80,000 CHF/year. Exceptionally qualified candidates can also be considered for a longer-term Research Associate position. Starting date is immediate or to be negotiated. Applications will be considered until the position is filled.
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
 
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
 
* Solid programming skills.
 
  
'''HOW TO APPLY'''
+
Please apply online here:
 +
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710223%27%7D
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
 
  
'''ABOUT LA SAPIENZA'''
+
== Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation, DFKI, German Research Center for Artificial Intelligence, Germany ==
  
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
+
* Employer: [http://www.dfki.de/ Department of Language Technology], DFKI GmbH, Saarbrücken, Germany
 +
* Title: Researcher in Machine Learning for NLP with a Focus on Deep Learning and Machine Translation
 +
* Specialty: machine learning and deep learning for machine translation
 +
* Location: Saarbrücken
 +
* Deadline: November 30, 2017
 +
* Date posted: November 6, 2017
 +
* Contact: [mailto:mlt-sek@dfki.de josef.van_genabith@dfki.de]
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning for NLP with a focus on '''Deep Learning and Machine Translation'''. Depending on track record and experience, the position is available at the Junior/Researcher/Senior level.
  
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
+
'''Research responsibilities include''': <br>
 +
* machine learning and deep learning for machine translation
 +
* publication in top-tier conferences and journals
 +
* software development and integration
  
==Postdoc or Research Associate - Natural Language Processing==
+
'''General responsibilities include''':<br>
* Employer: IHMC (www.ihmc.us)
+
* basic research as well as industry funded applied research
* Rank or Title: Research Associate - Natural Language Processing
+
* identification of funding opportunities and engagement in proposal writing
* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing
+
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
* Location: Ocala, FL
+
* administrative work associated with programmes of research
* Deadline: Applications accepted until position is filled
 
* Date Posted: September 26th, 2012
 
* Contact email ywilks@ihmc.us
 
  
'''About Us'''
+
'''Requirements''': <br>
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
+
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
+
* Strong background and track record in machine learning and deep learning as well as in MT and NLP
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
+
* Strong problem solving and programming skills, independent and creative thinking
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
+
* Strong team working and communication skills, as well as excellent command of written and oral English. Command of German or other languages will be helpful.
  
The candidate will be appointed on a new  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
+
Successful applicants will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).
 
Required:
 
  
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
+
'''Starting date, duration, salary''': <br>
 +
Preferred starting dates are early Spring 2018. The position is available for a duration of three years, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.
  
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
+
'''Application''': <br>
 +
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references.
 +
Please send your electronic application (preferably in PDF format) and inquiries to the above address referring to job opening no. 97/17/JvG.
  
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.
+
== Independent Research Group Leader, Department of Computer Science, TU Darmstadt ==
  
Skills and Experience:
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Department of Computer Science], Technische Universität Darmstadt, Germany
 +
* Title: AIndependent Research Group Leader
 +
* Specialty: Natural Language Processing for the Humanities
 +
* Location: Darmstadt
 +
* Deadline: November 24, 2017
 +
* Date posted: November 3, 2017
 +
* Contact: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]
  
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
Independent Research Group Leader "Natural Language Processing for the
 +
Humanities", Technische Universität Darmstadt
  
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
+
The Department of Computer Science of Technische Universität Darmstadt
 +
seeks to fill an Independent Research Group (IRG) Leader position for
 +
the initial duration of four years. The program allows young
 +
scientists to found their own research group. It is similar in spirit
 +
to DFG's Emmy Noether Program. The focus of the Independent Research
 +
Group will be on cutting-edge Natural Language Processing research
 +
with its novel applications to support humanities research, e.g.
 +
mining scientific literature, automatic discourse analysis, or
 +
multimodal content classification to identify bias or tone
 +
computationally. The goal of the position is to strengthen the rapidly
 +
growing profile of the Department in Data Analytics at the
 +
intersection of Natural Language Processing, Computer Vision, and
 +
Machine Learning on the one side, and to further develop the connection
 +
between Computer Science and the Humanities on the other side.
  
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
+
The IRG Leader will receive an opportunity to conduct independent
 +
research and teaching, and the funding to hire a PhD student (similar
 +
to assistant professors). Candidates must have completed their PhD in
 +
Computer Science or related area, have an outstanding publication
 +
record and demonstrate experience in working with the international
 +
research community. Ideally they have held at least one postdoc
 +
position at a university other than the one they obtained their PhD
 +
degree from. The program offers competitive personal compensation and
 +
access to resources. The IRG Leaders are employed by TU Darmstadt on
 +
its own pay scale TV-TU Darmstadt. Applicants are selected based on
 +
their credentials, references, and participation in a scientific
 +
colloquium. We expect the ability to work independently, personal
 +
commitment, team and communication abilities, as well as the
 +
willingness to cooperate in a multi-disciplinary team. We specifically
 +
invite applications of women. Among those equally qualified,  
 +
handicapped applicants will receive preferential consideration.
 +
International applications are particularly encouraged.
  
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
The successful candidate will be given the opportunity to join the PI
 +
team of the graduate school [https://www.aiphes.tu-darmstadt.de/ "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES)]. The project conducts innovative
 +
research in a cross-disciplinary context. To that end, methods in
 +
computational linguistics, natural language processing, machine
 +
learning, network analysis, and automated quality assessment are
 +
developed. AIPHES investigates a novel scenario for information
 +
preparation from heterogeneous sources, within the application context
 +
of multi-document summarization. There is close interaction with end
 +
users who prepare textual documents in an online editorial office, and
 +
who should therefore benefit from the results of AIPHES. In-depth
 +
knowledge in one of the above areas is required.  
  
Apply to Yorick Wilks at: ywilks@ihmc.us
+
The Department of Computer Science of TU Darmstadt is regularly ranked
 +
among the top ones in respective rankings of German universities. Its
 +
unique [https://www.cedifor.de/en/ "Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences" (CEDIFOR)] emphasizes natural language processing, text mining, machine learning, as well as
 +
scalable infrastructures for assessment and aggregation of knowledge
 +
applied to novel research problems from the Humanities domain.  
  
 +
Applications should be submitted to
 +
https://public.ukp.informatik.tu-darmstadt.de/irgrecruitment/ by
 +
November 24, 2017 and include a research and teaching statement along
 +
with the CV, publication list, name of three academic references, and
 +
further supporting documents. In case of questions, please contact
 +
Prof. Dr. Iryna Gurevych: [mailto:gurevych@ukp.informatik.tu-darmstadt.de gurevych@ukp.informatik.tu-darmstadt.de]. The position is open until filled.
  
== NLP Research Scientist - Pacific Northwest National Laboratory ==
+
== PostDoc / Senior Researcher, UKP Lab, TU Darmstadt ==
  
NLP Research Scientist wanted for work impacting National Security
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
Company: Pacific Northwest National Laboratory
+
* Title: PostDoc / Senior Researcher
Job ID: 301731  http://www.jobs.pnnl.gov/  
+
* Specialty: NLP applications to humanities, social and educational sciences; multimodal analysis and large-scale knowledge extraction
Location: PNNL - Richland, WA
+
* Location: Darmstadt
Contact: jill.schroeder@pnnl.gov
+
* Deadline: November 25, 2017
 +
* Date posted: November 3, 2017
 +
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
  
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a
  
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.
+
PostDoc / Senior Researcher
 +
(for an initial term of two years with an option for an extension)
  
Specific responsibilities include:
+
to strengthen the group’s expertise in the area of Natural Language Processing with its novel applications to Humanities, Social and Educational Sciences with a focus on multimodal analysis and large-scale knowledge extraction. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP). The group has a strong research profile in computational linguistics, machine learning and text mining. Core research areas include semantic text analysis and resources with their applications in multimodal information processing, knowledge discovery, and discourse analysis. The lab closely cooperates with groups in machine learning, image analysis, and interactive data analytics of the Computer Science department and a large number of research labs worldwide.
- apply computational linguistics approaches and algorithms
 
- contribute to the translation of client requests and needs into a set of project requirements and tasks
 
- contribute to software design
 
- construct functional applications and prototypes using PHP, Perl, Python and Java
 
- perform algorithmic development and implementation, especially as they pertain to NLP
 
- evaluate natural language processing methods and results
 
- develop client server and database aware applications
 
- design and implement graphical user interfaces
 
- develop on Linux and Windows environments
 
- effectively manage individual tasks, schedule, workload, budget, and deadlines
 
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
 
- contribute to or lead efforts in publishing research  
 
- help grow the natural language processing business portfolio through proposal writing and client engagement
 
  
 +
We ask for applications from candidates in Computer Science with a specialization/PhD in  Natural Language Processing or Text Mining, preferably with expertise in research and development projects and strong communication skills in English and German (optional). The successful applicant will work on research and development activities within the profile area described above and – based on the previous experience and qualification – will be given an opportunity to contribute to teaching courses, PhD student co-supervision, and project management activities.
  
Responsibilities & Accountabilities:
+
Ideally, the candidates should have demonstrable experience in NLP research, designing and implementing complex (NLP and/or ML) systems, applying Machine Learning incl. neural networks to text processing (e.g. document classification, sequence classification, clustering, etc.), information retrieval and databases, scalable data processing, and strong programming skills in Python and/or Java.
  
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.  
+
The research environment is excellent. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones among the German universities. Its unique Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR) and the Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasize NLP, machine learning and text mining. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest standards, cooperative work style and close interaction of team members.
  
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.  
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by November 25, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.
  
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills.  In addition, strong contributions to the technical content of proposals will be made.
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
  
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP. Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
Minimum Requirements 
+
* Title: Associate Research Scientist
Level II:  
+
* Specialty: interactive text analysis, natural language processing infrastructure
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required. Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.  
+
* Location: Darmstadt
 +
* Deadline: November 24, 2017
 +
* Date posted: November 3, 2017
 +
* Contact: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment
  
Level III:
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of  
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required.  Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
+
Computer Science, Technische Universität (TU) Darmstadt, Germany has
Qualifications 
+
an opening for an
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.
 
  
Work-related Experience:
+
'''Associate Research Scientist'''<br>
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
+
'''(PostDoc- or PhD-level; for an initial term of two years)'''
- Experience leading project teams in research, design and development a plus.
 
  
Breadth of Relevant Specialized Knowledge and Skills:
+
to strengthen the group’s profile in the areas of Interactive Text
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.  
+
Analysis and Natural Language Processing Infrastructure. The UKP Lab
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
+
is a research group comprising over 30 team members who work on
- Proficient in the use of Windows, Macintosh, and Linux environments 
+
various aspects of Natural Language Processing (NLP) with a rapidly
Preferred Education/Credential 
+
developing focus on Interactive Machine Learning, and who provide a
A PhD in computational linguistics is preferred.  
+
wide range of open source software packages for interactive and
 +
automatic text analysis to research and industry communities.
  
Level II:
+
We ask for applications from candidates in Computer Science with a
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
+
specialization in Natural Language Processing or Text Mining,  
 +
preferably with expertise in research and development projects and
 +
strong communication skills in English and German. The successful
 +
applicant will work on research and development activities regarding
 +
text annotation by end-users (researchers, analysts, etc.),
 +
information recommendation, information retrieval, or semantic text
 +
analysis, and to create the corresponding applications and software
 +
components in coordination with the prospective end-users.
  
Level III PREFERRED:
+
Ideally, the candidates should have demonstrable experience in  
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
+
designing and implementing complex (NLP and/or ML) systems (frontend
Equal Employment Opportunity 
+
and backend), in applying NLP-related Machine Learning-based methods
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
+
(e.g. document classification, sequence classification, clustering,  
Other Information 
+
etc.), experience with information retrieval systems and databases,  
This position requires the ability to obtain a federal security clearance in a timely manner. Which requires: 
+
scalable data processing, and strong programming skills especially in  
* US Citizenship
+
Java. Experience with neural network architectures and demonstrable
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
+
engagement in open source projects are strong pluses.
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).  
 
  
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
+
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
environment for the position to be filled. The Department of Computer
 +
Science of TU Darmstadt is regularly ranked among the top ones in
 +
respective rankings of German universities. Its unique research
 +
initiative "Data Analytics” and the Research Training Group “Adaptive
 +
Information Processing of Heterogeneous Content” (AIPHES) funded by
 +
the DFG emphasize NLP, machine learning, text mining and scalable
 +
infrastructures for the assessment and aggregation of knowledge. UKP
 +
Lab is a highly dynamic research group committed to high-quality
 +
research results, technologies of the highest standards, cooperative
 +
work style and close interaction of team members working on common
 +
goals.
  
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
+
Applications should include a detailed CV, a motivation letter and an
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
+
outline of previous working or research experience (if available).  
* Rank or Title: Assistant, Associate, or Full Professor
 
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
 
* Location: Columbus, OH USA
 
* Deadline: Review of applications will begin in November and continue until the positions are filled
 
* Date Posted: August 30, 2012
 
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
 
  
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
+
Applications from women are particularly encouraged. All other things
 +
being equal, candidates with disabilities will be given preference.
 +
Please submit your application via the following form by November 24,  
 +
2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The  
 +
position is open until filled.
  
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
+
== KU Leuven, Belgium : Researcher in Automated Reading of Documents ==
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
 
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
 
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
 
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
 
  
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
+
* KU Leuven, Belgium: Postdoc or junior researcher in Automated Reading of Documents
 +
* Employer: KU Leuven, Belgium
 +
* Title: Postdoctoral or research fellow
 +
* Specialty: Machine Learning and Natural Language Processing
 +
* Location: Leuven, Belgium
 +
* Deadline: Ongoing, desired start date: as soon as possible
 +
* Date posted: November 1, 2017
 +
* Contact: [mailto:sien.moens@cs.kuleuven.be Prof. Marie-Francine Moens]
  
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.
+
'''Researcher in Automated Reading of Documents''' <br/>
 +
(Department of Computer Science, KU Leuven, Belgium)
  
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
+
The Language Intelligence & Information Retrieval lab (https://liir.cs.kuleuven.be) that is part of the Human Computer Interaction group of the Department of Computer Science of KU Leuven in Belgium has an open position for a motivated researcher interested in the latest developments in artificial intelligence for the automated reading of documents.
  
Review of applications will begin in November and will continue until the positions are filled.
+
The research is carried out in the frame of the SaaS project (Self-learning SaaS platform for simplification of data-intensive customer experiences). The goal is to design, develop and test novel machine learning models that are self-learning and that can be applied for real-time processing of unstructured or semi-structured documents. Special attention will go to deep learning models relying on character-based or word-based representations of content.  
  
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
+
We offer a research position in a research team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study both theoretical modelling and challenging applications. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, user generated content mining, and web mining and search. KU Leuven is located about 25 kilometers from Brussels, the capital of Europe. For the second year in a row, KU Leuven leads the Reuters ranking as Europe’s most innovative university.
  
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
+
'''Required'''
 +
* Ph.D. in Computer Science, Artificial Intelligence, or a related field.
 +
* Research experience in machine learning.
  
* Employer: Institute of Information Science, Academia Sinica
+
'''Desired'''
http://www.sinica.edu.tw
+
* Good knowledge of the English language and some knowledge of French or Dutch.
  
http://www.iis.sinica.edu.tw
+
'''Job Details'''
* PI: Lun-Wei Ku (Language Processing Group)
+
* One year initial position with possible extension to a second and third year based on performance and availability of funds.
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
+
* Desired start date: as soon as possible.
 +
* Competitive salary.  
  
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
+
'''How to Apply''' <br/>
 +
If interested, send your CV and motivation letter to Prof. Marie-Francine Moens (sien.moens@cs.kuleuven.be). The position will be filled in as soon as possible.
  
* Rank or Title: Post Doctorial Researcher - Natural Language Processing  
+
== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
 
* Location: Taipei, Taiwan
 
* Deadline: open until filled
 
* Date Posted: August 21st, 2012
 
* Start Date: before October, 2012 or after April, 2013
 
* Duration: 1+1+1 years
 
* Contact email: lwku@iis.sinica.edu.tw
 
  
'''REQUIRED'''
+
* Employer: University of Colorado Boulder
 +
* Title: Postdoctoral Associate
 +
* Specialty: Machine Learning, Speech and Language Processing
 +
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start Spring/Summer 2018
 +
* Date posted: October 31, 2017
 +
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]
  
Ph.D. in computational linguistics / natural language processing or related areas.
+
'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' <br/>
 +
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)
  
Natural language processing / computational linguistics background.  
+
The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting Spring or Summer 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
Substantial skills in programming and processing large scale corpora.  
 
  
Ideal: Java skills and standard statistical procedures.  
+
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).  
  
'''SKILLS AND EXPERIENCE'''
+
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.  
 
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis.
 
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.  
 
  
Ideal: with experience of interests in processing Asia language (ex. Chinese)
+
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.
  
'''PAYMENT'''
+
'''Required'''
+
* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
Around 1900~2000 USD/Month, depends on the currency rate.
+
* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
+
* Evidence of a strong publication record in the aforementioned areas
'''HOW TO APPLY'''
 
  
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.
+
'''Desired'''
 +
* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling
  
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
+
'''Job Details'''
 +
* One year initial position with possible extension to a second and third year based on performance and availability of funds
 +
* Desired start date is Spring 2018. However, start date is negotiable
 +
* Competitive salary with benefits commensurate with qualifications
  
 +
'''How to Apply''' <br/>
 +
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
  
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
+
'''About the University of Colorado and the City of Boulder''' <br/>
* Employer: Sapienza University of Rome
+
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.
* Location: Rome, Italy
 
* Deadline: open until filled
 
* Date Posted: 16th August 2012
 
* Starting date: fall/winter 2012
 
* Duration: 1+1+1 years
 
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
 
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
  
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
+
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.
  
'''REQUIREMENTS/QUALIFICATIONS'''
+
'''Special Instructions to Applicants''' <br/>
 +
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.
 +
 +
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].
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
== Two Postdoctoral Positions on Interpretable Vector Space Models ==
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
+
*Employer: Cardiff University
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
*Title: Postdoctoral research associate
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
*Speciality: Neural networks, statistical relational learning, natural language processing
* Fluent English. Knowledge of Italian is NOT a requirement.
+
*Location: Cardiff, UK
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
+
*Deadline: November 2 2017
 +
*Date posted: October 6, 2017
 +
*Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
  
Experience in research project management is a plus.
+
Applications are invited for two postdoctoral research posts at Cardiff University’s School of Computer Science & Informatics in the context of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC). The overall aims of this project are (i) to learn interpretable vector space representations of entities and their relationships, and (ii) to exploit these vector space representations for various forms of flexible reasoning with, and learning from structured data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/
  
'''SPECIFIC REQUIREMENTS'''
+
The aim of these positions will be to contribute to one or more of the following topics.
  
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
+
1) Learning structured event embeddings. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with cognitively inspired representations (e.g. based on the theory of conceptual spaces). Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains.
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
 
  
'''HOW TO APPLY'''
+
2) Combining statistical relational learning with vector space models of commonsense reasoning. Low-dimensional vector space representations can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning (SRL) can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths, enabling interpretable and robust plausible reasoning from sparse relational data.
  
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
+
3) Geometric representations of logical theories. Most vector space models for knowledge base completion simply represent entities, attributes and relations as vectors. In many domains, however, plausible inferences rely on complex dependencies that cannot be captured by such representations. As an alternative, we will develop methods in which predicates are represented as regions, and logical formulas correspond to qualitative constraints on the spatial configurations of these regions. This model will support more complex inferences than existing approaches, will allow us to exploit existing domain knowledge when learning vector space representations, and will conversely allow us derive approximate logical theories from a learned embedding.
  
'''ABOUT SAPIENZA'''
+
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.
  
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
+
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 6522BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
== Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University ==
 +
*Employer: Stockholm University, Sweden
 +
*Title: PhD candidate
 +
*Speciality: Computational Linguistics/Natural Language Processing
 +
*Location: Stockholm, Sweden
 +
*Deadline: October 16, 2017
 +
*Date posted: September 20, 2017
 +
*Contact: [mailto:robert@ling.su.se Robert Östling]
  
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
+
More information and application form: http://www.su.se/english/about/working-at-su/jobs?rmlang=UK&rmpage=job&rmjob=3869
  
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
+
The Department of Linguistics at Stockholm University is looking for a new PhD candidate in the area of computational linguistics/natural language processing. PhD candidates are regular employees of Stockholm University, with a starting salary of 25,300 SEK (2,650 EUR; 3,200 USD) per month and the same benefits and social security as other University employees. The position is fully funded for 4 years. Extension up to one year is possible if the candidate performs teaching or other duties at the department, and further extension is granted in case of parental or sick leave.
  
'''Curata, Inc.'''
+
The choice of thesis topic is not restricted to a particular project, but should be aligned with the research profile of the department. Possible topics include multilingual NLP methods, machine translation, or computational methods for other areas of research at the department (language acquisition, linguistic typology, phonetics, sign language).
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
 
  
'''Role Description'''
+
Potential applicants are encouraged to contact [mailto:robert@ling.su.se Robert Östling] to discuss possible thesis projects, or other issues related to the position.
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
 
  
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
+
== Tenure Line Assistant Professor Position in Linguistics at Northwestern University ==
 +
*Employer: Northwestern University, USA
 +
*Title: Tenure Line Assistant Professor Position in Linguistics at Northwestern University
 +
*Speciality: Meaning
 +
*Location: Evanston, IL, USA
 +
*Deadline: December 1, 2017
 +
*Date posted: September 18, 2017
 +
*Contact: matt-goldrick@northwestern.edu
  
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
+
http://www.linguistics.northwestern.edu/about/news/faculty-search.html
  
'''Responsibilities'''
+
The Department of Linguistics at Northwestern University seeks to fill a tenure-line assistant professor position with a start date of September 1, 2018. We are looking for candidates with research and teaching interests in meaning, broadly construed. We are particularly interested in candidates whose research program includes cognitive, computational, and/or social approaches. The successful candidate will join a vibrant interdisciplinary community of researchers in the science of language, including computer science, philosophy, psychology, cognitive neuroscience, and speech science.
  
* Prototyping concepts and working with engineering team to see them through deployment.
+
To receive fullest consideration, applications should be uploaded by December 1, 2017. Candidates must hold a Ph.D. in Linguistics, Cognitive Science, Computer Science, Psychology, or a related field by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work, teaching evaluations (if available), and the names of three references (with their contact information). References will separately receive upload instructions after you have submitted your application (letters of reference should arrive as close as December 1st as possible).
* Suggesting new product concepts.
 
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
 
* Architect, build and maintain flexible and highly scalable web applications
 
* Participate in the full engineering life cycle from design through implementation and deployment.
 
* Think in terms of the end-user and design accordingly
 
* Actively contribute to product design and feature selection discussions
 
  
'''Preferred Skills and Experience'''
+
The Department is strongly committed to enhancing diversity, equity and inclusion in all aspects – including, but not limited to, race/ethnicity, and gender, as well as disability, sexual orientation, and gender expression and identity. We encourage applications from candidates that share this vision.
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
* Strong software development skills, preferably with web applications.
 
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
  
'''Location:''' Kendall Square, Cambridge, MA / Boston
+
E-mail inquiries should be directed to Matt Goldrick, Chair.
  
'''Type:''' Full-Time
+
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
  
'''Contact:''' engmgt.jobs@curata.com
+
== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==
  
== Research Fellowship at University of Aberdeen ==
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
 +
* Title: Doctoral researcher
 +
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
 +
* Location: Darmstadt
 +
* Deadline: October 6, 2017
 +
* Date posted: September 18, 2017
 +
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]
  
* Employer: University of Aberdeen
+
The Research Training Group [http://www.aiphes.tu-darmstadt.de/ "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES)], which has been established in
* Job Title: Research Fellow in Natural Language Generation
+
2015 at the Technische Universität Darmstadt and at the
* Location: Aberdeen, UK
+
Ruprecht‑Karls‑University Heidelberg is filling several positions for  
* Deadline: 23rd July 2012
+
three years, starting on April 1st, 2018. Positions remain open until
* Date Posted: 11th July 2012
+
filled.
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
 
* Contact email: c.mellish@abdn.ac.uk
 
  
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
+
PhD-level Researchers in Natural Language Processing, Computational
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
+
Linguistics, Machine Learning, or related areas
  
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.  
+
The positions provide the opportunity to obtain a doctoral degree in
 +
the research area of the training group with an emphasis, e.g., in
 +
graph-based discourse processing, in natural language processing tasks
 +
such as automated summarization, in representation and analysis of
 +
text-induced structures, in jointly analyzing text and images, or in a
 +
related area. The group will be located in Darmstadt and Heidelberg.
 +
The funding follows the guidelines of the DFG, and the positions are
 +
paid according to the E13 public service pay scale.
  
== Executive Director at University of Maryland ==
+
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.
  
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
+
Participating research groups at the Technische Universität Darmstadt
** Title:  Executive Director
+
are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
** Location:  College Park, MD
+
Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual
** Deadline:  Open until filled
+
Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at
** Date Posted:  July 2, 2012
+
Ruprecht Karls University Heidelberg are the Institute for
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
+
Computational Linguistics (Prof. Frank) and the Natural Language
** Contact email:  tswallst@umd.edu
+
Processing Group (Prof. Strube) of the Heidelberg Institute for
 +
Theoretical Studies (HITS).  
  
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.  
+
AIPHES emphasizes close contact between the students and their
 +
advisors, have regular joint meetings, a co-supervision by professors
 +
and younger scientists in the research groups, and an intensive
 +
exchange as part of the research and qualification program. The
 +
training group has the goal of publishing its results at leading
 +
scientific conferences and will actively support its doctoral
 +
researchers in this endeavor. The software that will be developed in  
 +
the course of AIPHES should be put under the open source Apache
 +
Software License 2.0 if possible. Moreover, the research papers and
 +
datasets should be published with open access models.
  
'''DUTIES:'''  The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units. 
+
Prerequisites
  
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
+
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.
  
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
+
The Department of Computer Science of [https://www.informatik.tu-darmstadt.de/ TU Darmstadt] is regularly
 +
ranked among the top ones in respective rankings of German
 +
universities. The [http://www.cl.uni-heidelberg.de/ Institute for Computational Linguistics (ICL) of the
 +
Ruprecht Karls University Heidelberg] is one of the largest centers
 +
for computational linguistics both in Germany and internationally. The
 +
ICL and the NLP department of the HITS jointly run the graduate
 +
program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training
 +
group “Coherence in language processing: Semantics beyond the
 +
sentence”, which has a close connection to the topics in computational
 +
linguistics of AIPHES.
  
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link: http://www. jobs.umd.edu/applicants/Central?quickFind=57086)  by Monday, August 20, 2012.  Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
+
Applications should include a motivational letter that refers to one
 +
or two of the planned research areas of [http://www.aiphes.tu-darmstadt.de/ AIPHES], a CV with
 +
information about the applicant’s scientific work, certifications of
 +
study and work experience, as well as a thesis or other publications in
 +
electronic form.  Application materials should be submitted via the
 +
following form by October 6th, 2017:  
 +
https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In
 +
addition, applicants should be prepared to solve a programming and a
 +
reviewing task in the first two weeks after their application.
  
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes:  health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.
 
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
==Postdoc Position on Sentence Understanding and Generation at NYU==
  
* Employer: Data2Text
+
* Employer: New York University, Machine Learning for Language Group (Sam Bowman and Kyunghyun Cho)
* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
+
* Title: Postdoc
* Specialty: natural language generation, analytics
+
* Specialty: Sentence understanding and generation using deep neural networks with latent tree structures or other latent variables
* Location: Aberdeen, Scotland, UK
+
* Location: New York, NY, USA
* Deadline: 29 June 2012
+
* Deadline: Rolling
* Date posted: 8 June 2012
+
* Date posted: September 15, 2017
* Link to website: http://www.data2text.com/careers
+
* Contact: [mailto:bowman@nyu.edu Sam Bowman]
  
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
The Machine Learning for Language Group at NYU expects to hire at least one postdoc to start some time in 2018, working with one or both of PIs Kyunghyun Cho and Sam Bowman.
research group.  We are looking to hire several people; please see our website for details
 
http://www.data2text.com/careers
 
  
This is a great opportunity for people who are keen on getting NLG technology
+
We expect the researcher to use their time here to develop an independent research program which involves work on neural network models for natural language understanding or generation at the sentence level and to also participate in work on models which use latent tree structures or other continuous or discrete latent variables. The position will be funded through a sponsored research agreement on this topic, and while the researcher may be asked to contribute some effort to the completion of the sponsored research, this shouldn’t be a burden: It will only involve the development, evaluation and publication of novel modeling methods on public datasets.
out into the real world. In addition to the advertised positions, we're happy to talk
 
to people who are knowledgeable about NLG and keen to develop commercial applications,
 
but whose profiles do not fit the advertised positions.
 
  
Information inquiries (from the ACL community) should be sent to Ehud Reiter
+
For more details, see the full ad here:
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
 
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
https://wp.nyu.edu/ml2/postdoc-opening/
  
* Employer: Educational Testing Service (www.ets.org)
+
==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==
* Job Title: Associate Research Scientist (SPEECH)
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 16-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
* Employer: University of Twente
 +
* Title: PhD position
 +
* Specialty: Natural Language Generation
 +
* Location: Enschede, The Netherlands
 +
* Deadline: 28 August, 2017
 +
* Date posted: August 4, 2017
 +
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]
  
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
The research group Human Media Interaction of the University of Twente is looking for a PhD candidate to work on adaptive text generation. The PhD research aims at generating natural language texts in Dutch, for use in a training game for Dutch firefighters. The texts will be adaptive in the sense that they will be tailored to the player’s individual needs and competences. The type of narrative game that will be developed in our project (in collaboration with a serious game company) offers multiple opportunities for such tailoring of textual game content. Specifically, the goal is to work on the generation of in-game texts based on current real-world data, the generation of non-player character dialogue and the generation of post-game narrative feedback on player performance. Since the generated texts will be in Dutch, the PhD candidate is expected to have a good command of the Dutch language.
  
 +
The position is full-time for four years. Starting date is as soon as possible. Find more details about the position, including how to apply, by clicking on the link below:
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
+
==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==
 
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.
 
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
* Employer: SPARTED
 +
* Title: Project Researcher
 +
* Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
 +
* Location: Paris (16), France
 +
* Deadline: Until candidate is found
 +
* Date posted: August 4, 2017
 +
* Contact: [mailto:camille@sparted.com]; phone [+33] (06)52148693
 +
* Website: http://www.sparted.com
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
SPARTED is an innovative and disruptive French EdTech startup that is changing the way people learn by turning employees into daily learners. We offer companies and organizations a SaaS micro-learning mobile platform that allows them to  create online gamified content and deliver it independently in a white label app.
 +
SPARTED is initiated an ambitious project and is hiring a Postdoc researcher to pilot it. Find more details about the position by clicking on the link below:
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
 +
* Title: PhD Scholarship
 +
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
 +
* Location: Barcelona, Spain
 +
* Deadline: Until candidate is found
 +
* Date posted: June 10, 2017
 +
* Contact: [mailto:horacio.saggion@upf.edu]
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
 +
PhD position on data-driven methodologies for music knowledge extraction
 +
In the context of a collaborative project between the Music Technology and the Natural Language Processing groups of the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF) we offer a PhD position dedicated to developing data-driven methodologies for music knowledge extraction by combining Natural Language Processing and Music Information Retrieval approaches.
 
   
 
   
'''EXPERIENCE AND SKILLS'''
+
Supervisors of the position: Xavier Serra and Horacio Saggion
 
+
Contact for application:  Aurelio Ruiz (aurelio.ruiz@upf.edu)
EDUCATION
+
 
+
The work to be done in this PhD will aim at processing music related text from open web sources in order to generate musically relevant knowledge. For this, it will require combining methodologies coming from Music Information Retrieval (MIR), Natural Language Processing (NLP) and Computational Musicology.
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
 
 
 
 
 
EXPERIENCE
 
 
 
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
 
 
 
 
 
 
   
 
   
'''APPLYING'''
+
The PhD position is part of the María de Maeztu Strategic Research Program on data-driven knowledge extraction (MDM-2015-0502) and linked to the program of the Spanish Ministry of Science and Competitiveness .
  
Interested parties can apply for the position through the following website:
 
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
== Scientific System Developer, UKP Lab, TU Darmstadt ==
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Scientific System Developer
 +
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
 +
* Location: Darmstadt
 +
* Deadline: May 31, 2017
 +
* Date posted: May 3, 2017
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a
  
* Employer: Educational Testing Service (www.ets.org)
+
'''Scientific System Developer'''<br>
* Job Title: Associate Research Scientist (NLP)
+
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 16-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
to strengthen the group’s profile in the area of Argument Mining, Machine Learning and Big Data Analysis. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Argument Mining is one of the rapidly developing focus areas in collaboration with industrial partners.
  
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
We ask for applications from candidates in Computer Science preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of Argument Mining (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and Python as well as experience in information retrieval, large-scale data processing and machine learning. Experience with continuous system integration and testing and distributed/cluster computing is a strong plus. Combining fundamental NLP research with industrial applications from different application domains will be highly encouraged.
 
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
 
 
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.  
 
 
 
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
 
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
UKP’s wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique and recently established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).  
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
 
+
We look forward to receiving your application!
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
 
 
 
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
 
 
 
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
 
  
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==
 
EXPERIENCE
 
 
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.
 
  
+
* Employer: Cardiff University
'''APPLYING'''
+
* Title: Postdoctoral Research Associate
 +
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
 +
* Location: Cardiff, UK
 +
* Deadline: May 20, 2017
 +
* Date posted: April 20, 2017
 +
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
  
Interested parties can apply for the position through the following website:
+
Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
 +
* The focus of the first position will be on developing methods for exploiting entity embeddings in statistical relational learning, to enable robust plausible reasoning from sparse relational data. Entity embeddings can be used to identify plausible formulas that are missing from a given knowledge base, intuitively by applying a kind of similarity or analogy based reasoning. Statistical relational learning can also be used to infer plausible formulas, but instead relies on modelling statistical dependencies among relational facts at the symbolic level. Unifying both methodologies will allow us to develop powerful inference methods that combine their complementary strengths. The resulting method will be applied to zero and one shot learning tasks, with a focus on automated knowledge base completion.
 +
*The focus of the second position will be on learning vector space embeddings of events and the causal relations between them. In contrast to existing approaches, the learned embeddings will explicitly model which entities participate in the events, how they are related, and how their relationships are affected by different events. This will require combining ideas from neural network models for event embedding (e.g. based on LSTMs) with ideas from knowledge graph embedding models. Among others, the resulting model will allow us to uncover more intricate causal relationships, to generate supporting explanations for causal predictions, to incorporate prior knowledge, and to transfer learned knowledge between domains. Intended applications include recognising textual entailment, stock market prediction, and event-focused information retrieval.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
Successful candidates are expected to have a strong background in natural language processing, machine learning, or knowledge representation. This research will be part of Steven Schockaert's FLEXILOG project, which is funded by the European Research Council (ERC)
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available.  
  
== Associate Research Engineer at Educational Testing Service ==
 
  
* Employer: Educational Testing Service (www.ets.org)  
+
'''More information'''
* Job Title: Associate Research Engineer
+
For more details about the positions, please contact Steven Schockaert (SchockaertS1@cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5878BR. Please note the requirement to evidence all essential criteria in the supporting statement.
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 15-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
 
  
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==
  
+
* Employer: University of Colorado Boulder
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
* Title: Postdoctoral Research Associate
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.  
+
* Specialty: Advanced Machine Learning
 +
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start Summer/Fall 2017
 +
* Date posted: March 31, 2017
 +
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/>
 +
(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)
  
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
+
The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time  postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
  
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
The postdoc will develop and apply machine learning techniques in the hierarchical and temporal domains to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., online learning, in-class learning, collaborative problem solving).
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
'''Required'''
 +
* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
 +
* Research experience in advanced machine learning for temporal and hierarchical domains (e.g., probabilistic graphical models, deep recurrent neural networks) applied to human behavior and mental state analysis (e.g., affective computing, dyadic/triadic interaction)
 +
* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record
  
* Attend area-wide staff training and development sessions.
+
'''Desired'''
+
* Research experience in one or more of the following areas (computer vision, eye tracking, computational psychophysiology, fMRI, multimodal fusion, collaborative problem solving, real-world sensing)
'''EXPERIENCE AND SKILLS'''
+
* Experience mentoring graduate and undergraduate students
  
EDUCATION
+
'''Job Details'''
 +
* 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and availability of funds.
 +
* Start date is negotiable, but anticipated for Summer/Fall 2017.
 +
* Competitive salary with benefits commensurate with qualifications. This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
'''How to apply''' <br/>
+
Please complete Faculty/University Staff EEO Data (application) form ([https://goo.gl/YC9g94 https://goo.gl/YC9g94]) and upload the following required documents: 1—Cover letter; 2—Curriculum Vitae 3—List of Three References 4-One or two representative publications.
EXPERIENCE
 
  
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
+
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.
  
OTHER REQUIREMENTS
+
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].
* Knowledge of UNIX and Windows computing environments.
 
  
* Familiarity with UNIX tools and scripting languages.
+
'''Questions''' <br/>
 +
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
 
  
* Excellent verbal and written communication skills.
+
== Researcher in Machine Learning and NLP, DFKI, Germany ==
  
+
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
'''APPLYING'''
+
* Title: Researcher
 +
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
 +
* Location: Saarbruecken
 +
* Deadline: March 31, 2017
 +
* Date posted: March 13, 2017
 +
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]
  
Interested parties can apply for the position through the following website:
+
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
'''Key research responsibilities''' include:
 +
* machine and deep learning for natural language processing/machine translation
 +
* software development and integration
 +
* publication in top-tier conferences and journals
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''General responsibilities''' include:
 +
* engagement with industry partners and contract research
 +
* identification of funding opportunities and engagement in proposal writing
 +
* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
 +
* administrative work associated with programmes of research
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
'''Requirements:'''
 +
* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
 +
* Strong background and track record in machine learning, neural nets and deep learning
 +
* Strong background and track record in NLP and MT - Excellent programming skills
 +
* Excellent problem solving skills, independent and creative thinking
 +
* Excellent team working and communication skills
 +
* Excellent command of written and oral English
 +
* Command of German and other  languages not a requirement but helpful
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).
* Group: Language Technology
 
* Title: Junior Researcher
 
* Requirements:
 
** Permission to work within the European union
 
** Excellent English language skills; knowledge of the German language is a plus
 
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
 
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
 
** Programming skills in C++, Perl and/or Java
 
** Strong ability to work independently and drive an original research agenda
 
* Deadline:  June 15, 2012
 
* Date Posted: May 14, 2012
 
* Contact: harald.trost@ofai.at
 
  
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".  
+
'''Working environment:'''
 +
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.
  
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
+
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project [http://www.qt21.eu/ QT21] on MT, the EU CEF funded [http://lr-coordination.eu/ ELRC] project and the EU funded [http://www.tradr-project.eu/ TRADR] project on human-robot collaboration in disaster response scenarios.
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in [http://www.mmci.uni-saarland.de/en/start Multimodal Computing and Interaction] and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
'''Geographical environment:'''
 +
[http://www.saarbruecken.de/en Saarbrücken] is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.
  
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
+
'''Starting date, duration, salary:'''
 +
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.
  
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
+
'''Application:'''
 +
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to [mailto:mlt-sek@dfki.de Prof. Josef van Genabith] referring to job opening no. 22/17-JvG. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact [mailto:josef.van_genabith@dfki.de Prof. van Genabith] for informal inquiries.
  
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
 
  
 +
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
  
== Junior Research Group Leaders at Saarland University ==
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Associate Research Scientist
 +
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
 +
* Location: Darmstadt
 +
* Deadline: March 8, 2017
 +
* Date posted: February 21, 2017
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
* Employer: Saarland University, Germany
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
* Division: MMCI Cluster of Excellence
 
* Title: Junior Research Group Leaders
 
* Job ID: W490
 
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
* Location: Saarbrücken, Germany
 
* Deadline:  April 30, 2012
 
* Date Posted: April 4, 2012
 
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
  
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
+
'''Associate Research Scientist'''<br />
 +
'''(PostDoc- or PhD-level; for an initial term of two years)'''
  
Deadline for applications is April 30th, 2012.
+
to strengthen the group’s profile in the areas of Interactive Machine
 +
Learning (IML) or Natural Language Processing for Language Learning.
 +
The UKP Lab is a research group comprising over 30 team members who
 +
work on various aspects of Natural Language Processing (NLP), of
 +
which Interactive Machine Learning and Natural Language Processing
 +
for Language Learning are the focus areas researched in collaboration
 +
with partners in research and industry.
  
For the complete announcement see:
+
We ask for applications from candidates in Computer Science with a
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
+
specialization in Machine Learning or Natural Language Processing,
 +
preferably with expertise in research and development projects, and
 +
strong communication skills in English and German.
  
 +
* The successful applicant in the area of Interactive Machine Learning will work on research activities regarding its application to end-user content annotation, information structuring and recommendation, or semantic text analysis, and development activities to create functional and attractive user-oriented product prototypes.
 +
* The successful applicant in the area of Natural Language Processing for Language Learning will work on research activities in automatically assessing language competencies and readability as well as on generating exercise material for language learners in intelligent real-time learning systems.
  
Additional information on the excellence cluster is available on
+
Prior work in the above areas is a definite advantage. Ideally, the
http://www.mmci.uni-saarland.de/
+
candidates should have demonstrable experience in designing and
 +
implementing complex (NLP and/or ML) systems, experience in
 +
large-scale data analysis, large-scale knowledge bases, and strong
 +
programming skills incl. Java. Experience with neural network
 +
architectures and a sense for user experience design are a strong
 +
plus. Combining fundamental NLP research on Interactive Machine
 +
Learning or Natural Language Processing with practical applications
 +
in different domains including education will be highly encouraged.
  
 +
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
environment for the position to be filled. The Department of Computer
 +
Science of TU Darmstadt is regularly ranked among the top ones in
 +
respective rankings of German universities. Its unique research
 +
initiative "Knowledge Discovery in the Web" and the Research Training
 +
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text
 +
mining, as well as scalable infrastructures for the assessment and
 +
aggregation of knowledge. UKP Lab is a highly dynamic research group
 +
committed to high-quality research results, technologies of the
 +
highest industrial standards, cooperative work style and close
 +
interaction of team members working on common goals.
  
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
+
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).
  
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
Applications from women are particularly encouraged. All other things
 +
being equal, candidates with disabilities will be given preference.
 +
Please send the applications to:
 +
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 08.03.2017. The positions
 +
are open until filled. Later applications may be considered if the
 +
position is still open.
  
* Employer: MICROSOFT
+
==  Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
* Division: Online Services Division
+
*Employer: Northwestern University, USA
* Title: Scientist Position
+
*Title: Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University
* Job ID: 789594
+
*Speciality: Open area
* Specialty: Statistical Machine Translation
+
*Location: Evanston, IL, USA
* Location: Bellevue, WA or Mountain Vew, CA
+
*Deadline: April 1, 2017
* Deadline: As soon as possible
+
*Date posted: February 17, 2017
* Date Posted: March 30, 2012
+
*Contact: matt-goldrick@northwestern.edu
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
 
  
Scientist Position in Statistical Machine Translation
+
The Department of Linguistics at Northwestern University invites applications for a full-time, non-renewable, two year postdoctoral fellowship in any area of linguistics. We are looking for candidates who pursue an integrated, interdisciplinary approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The fellowship period begins September 1, 2017. Each year, the fellow will be expected to teach one undergraduate-level course in the Department of Linguistics. The fellow will also serve as an undergraduate adviser for the Cognitive Science Program, working with students pursuing the major and minor on academic issues (e.g., course selection, research opportunities, progress on degree requirements).
 
   
 
   
Research and Development Opportunities for Next Generation Technology at Microsoft
+
The fellow will join a vibrant interdisciplinary community of researchers from across the cognitive sciences (including communication sciences, computer science, learning sciences, music cognition, neuroscience, philosophy, and psychology). The fellow’s research will be supported by the facilities of the Department of Linguistics.
 
   
 
   
Do you want to impact billions of people all over the world with speech technology that you create?
+
To receive fullest consideration, applications should arrive by April 1, 2017. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV that includes contact information, brief statements of research and teaching interests (1-3 pages each), up to 3 reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names and contact information for three references. Please visit http://www.linguistics.northwestern.edu/ for online application instructions.
 
 
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,  
 
weighted finite state transducers, natural language processing and machine learning will be preferred.
 
 
   
 
   
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.
+
E-mail inquiries should be directed to Matt Goldrick, Chair of the Department of Linguistics (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
 
 
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
 
 
 
 
 
 
 
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
 
 
 
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
 
* Title: Post MS, Post Doc, or above
 
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
 
* Location: Mountain Vew, CA
 
* Deadline: As soon as possible
 
* Date Posted: March 21, 2012
 
* Contact: patrick.w.langley@gmail.com
 
 
 
An ongoing project has an opening for a researcher who will help extend
 
Icarus, a cognitive architecture, to reason about other agents' mental
 
states in the context of dialogues and joint activities. The framework
 
uses a logical formalism to encode knowledge, beliefs, and goals, and
 
it relies on a form of abduction to make plausible inferences. Experience
 
in building reasoning systems that operate over rich representations is
 
essential, and a background in applied logic, knowledge-based systems,
 
and/or cognitive architectures is highly desirable.
 
  
The location of the project will be Carnegie Mellon's Silicon Valley
+
==  Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK ==
Campus. The start date is negotiable, but the position will be available
+
*Employer: Cardiff University, UK
on May 1, 2012, and the project has funding for another two years.
+
*Title: Research Associate in Artificial Intelligence / Machine Learning
Interested parties should send their curriculum vitae, along with
+
*Speciality: Vector Space Models, Deep Learning, Interpretable Machine Learning, Symbolic Models
the contact details for two or more references, to Pat Langley
+
*Location: Cardiff, UK
<patrick.w.langley@gmail.com>.
+
*Deadline: March 2, 2017
 +
*Date posted: February 13, 2017
 +
*Contact: schockaerts1@cardiff.ac.uk
  
 +
Applications are invited for a Postdoctoral Research Associate post in Cardiff University’s School of Computer Science & Informatics. This is a full-time, fixed-term post for 30 months, starting on 1 May 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to undertake world-class research in the field of Machine Learning / Artificial Intelligence. Specifically, the aim of this post will be to develop novel methods for learning interpretable/symbolic models from diverse sources of information, including knowledge graphs, vector space models and natural language text. These models will then be used as background theories in applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer Science or a related area, or have relevant industrial experience.
  
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)
  
* Employer: Illinois Institute of Technology
+
'''Essential criteria'''
* Title: Postdoc
 
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
 
* Location: Chicago, IL
 
* Deadline: As soon as possible
 
* Date Posted: March 13, 2012
 
* Contact: argamon@iit.edu
 
  
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
+
* Postgraduate degree at PhD level, or near to completion of a PhD in a related subject area or relevant industrial experience
 +
* An established expertise and proven portfolio of research and/or relevant industrial experience within at least two of the following research fields: Machine Learning, Knowledge Representation, Natural Language Processing.
 +
* A strong background in statistics and linear algebra.
 +
* Excellent programming skills.
 +
* Knowledge of current status of research in specialist field.
 +
* Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, Journal of Machine Learning Research, Machine Learning) or top-tier conferences (e.g. IJCAI, AAAI, ECAI, NIPS, ICML, KDD, ACL, EMNLP).  
 +
* Ability to understand and apply for competitive research funding.
 +
* Proven ability in effective and persuasive communication.
 +
* Ability to supervise the work of others to focus team efforts and motivate individuals.
 +
* Proven ability to demonstrate creativity, innovation and team-working within work.
  
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
+
'''Background about the university'''
  
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
+
Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. Various surveys have ranked it as one of the most liveable cities in Europe. Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. The school has a strong research track record recognised for its outstanding impact in terms of reach and significance, with 79% of its outputs deemed world-leading or internationally excellent in the 2014 Research Excellence Framework.  
  
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
+
'''Background about the project'''
  
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
+
Vector space embeddings have become a popular representation framework in many areas of natural language processing and knowledge representation. In the context of knowledge base completion, for example, their ability to capture important statistical dependencies in relational data has proven remarkably powerful. These vector space models, however, are typically not interpretable, which can be problematic for at least two reasons. First, in applications it is often important that we can provide an intuitive justification to the end user as to why a given statement is believed, and such justifications are moreover invaluable for debugging or assessing the performance of a system. Second, the black box nature of these representations makes it difficult to integrate them with other sources of information, such as statements derived from natural language, or from structured domain theories. Symbolic representations, on the other hand, are easy to interpret, but classical inference is not sufficiently robust (e.g. in case of inconsistency) and too inflexible (e.g. in case of missing knowledge) for most applications.  
 
 
Review of applications will begin immediately and continue until the position is filled.
 
 
 
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
 
 
 
* Employer: Google
 
* Job title: Postdoc
 
* Specialty: Natural Language Processing, Machine Learning, summarization
 
* Location: Zurich, Switzerland
 
* Deadline: we are looking to fill the position soon
 
* Date posted: 1 March 2012
 
 
 
A post-doctoral position in the area of automatic text summarization
 
within the RENDER project is available at the Google Switzerland R&D
 
office. RENDER is a EU FP7 research project focused on identifying
 
diversity of opinions, viewpoints, mindsets and backgrounds in texts
 
from different sources: news, (micro) blog streams, and in
 
collaboratively written resources like Wikipedia. More information on
 
the project goals is available at http://render-project.eu/.
 
 
 
The duration of the post-doctoral contract will be one year, with the
 
possibility of renewing for a second year. This position will allow
 
the candidate to perform research on several NLP-related areas,
 
to interact with the consortium partners and with other Google-internal
 
research and development projects, and to apply the results of the
 
research to real applications with a potentially large impact.
 
 
 
Requirements:
 
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
 
* Extensive programming experience in C/C++.
 
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
 
* Fluency in English.
 
 
 
Responsibilities:
 
* Perform research in the context of the project (text summarization).
 
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
 
* Publish the result of the research in top conferences or journals.
 
* Be available to attend project meetings with the partners in the project.
 
 
 
For applying to this position, please send an e-mail to Enrique
 
Alfonseca (ealfonseca@google.com) including a paragraph on why you
 
think you are a right person for the role, and a brief CV.
 
 
 
== 4 PhD positions in spoken dialogue systems research ==
 
 
 
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
 
* Job title: 4 PhD positions in spoken dialogue systems research
 
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
 
* Location: Prague, Czech Republic
 
* Deadline: 1 June 2012
 
* Date posted: 16 February 2012
 
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
 
 
 
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
 
 
 
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.
 
 
 
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
 
 
 
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.
 
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
 
 
 
 
 
== PhD-position in sentiment mining and reputation analysis==
 
 
 
* Employer: Erasmus University Rotterdam
 
* Job title: PhD-student
 
* Specialty: text mining, sentiment analysis, topic detection, reputation management
 
* Location: Rottterdam, The Netherlands 
 
* Deadline: 1 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
 
 
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
 
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. 
 
 
 
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
 
 
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
 
 
 
== PhD-position in folktale classification and clustering ==
 
* Employer: University of Twente
 
* Job title: PhD-student
 
* Specialty: text classification, document clustering, natural language processing
 
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
 
* Deadline: 4 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
 
 
 
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
 
 
 
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.
 
 
 
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
 
 
 
==Research Associate Position at Educational Testing Service==
 
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
 
* Job Title: Research Associate
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 28-Jan-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
 
* Contact email: dyanchuk@ets.org
 
 
 
'''JOB DESCRIPTION'''
 
 
 
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.
 
 
 
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
 
 
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
 
 
 
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
 
 
* Plan and manage annotations for a variety of projects.
 
 
 
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
 
 
 
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
 
 
 
* Design original research instruments and methods and applications of research.
 
 
 
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.  
 
 
 
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
 
 
 
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
 
 
 
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
 
 
 
* Contact, establish, and develop relationships with research community and with data sources.
 
 
 
* Arrange and attend conferences and meetings; present research findings at professional meetings.
 
 
 
'''EXPERIENCE AND SKILLS'''
 
 
 
EDUCATION
 
 
 
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
 
 
 
EXPERIENCE
 
 
 
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
 
 
 
APPLYING
 
 
 
Interested parties can apply for the position through the following website:
 
 
 
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
 
 
 
If there are any questions, please contact:
 
 
 
Dave Yanchuk
 
(609) 406-5291
 
dyanchuk@ets.org
 
 
 
 
 
==Postdoc Position at HRL Laboratories==
 
* Employer: HRL Laboratories, LLC
 
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
 
* Location: Malibu, CA
 
* Deadline: Open until filled
 
* Date Posted: 26-Jan-2012
 
* Contact email: hmoon@hrl.com
 
 
 
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
 
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
 
 
 
Job Description:
 
 
 
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
 
 
 
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.  
 
 
 
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.
 
 
 
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.
 
 
 
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
 
 
 
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
 
 
 
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
 
 
 
==Postdoc or Research Associate - Natural Language Processing==
 
* Employer: IHMC (www.ihmc.us)
 
* Rank or Title: Research Associate - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing
 
* Location: Ocala, FL
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: January 3rd, 2012
 
* Contact email ywilks@ihmc.us
 
 
 
'''About Us'''
 
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
 
 
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
 
Required:
 
 
 
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
 
 
 
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
 
 
 
▪ Ph.D. in computational linguistics / natural language processing or related areas.
 
 
 
Skills and Experience:
 
 
 
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
 
 
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
 
 
 
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
 
 
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
 
 
Apply to Yorick Wilks at: ywilks@ihmc.us
 
 
 
 
 
 
 
 
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
 
* Employer: Queens College of the City University of New York
 
* Location: New York, NY
 
* Deadline: Review of applications to begin on March 1, 2012
 
* Website: http://www.cs.qc.cuny.edu/
 
* Date posted: January 4, 2012
 
  
'''Visiting Assistant/Associate/Full Professor'''
+
The overall aim of the FLEXILOG project is to develop novel forms of reasoning that combine the transparency of logical methods with the flexibility and robustness of vector space representations. For example, symbolic inference can be augmented with inductive reasoning patterns (based on cognitive models of human commonsense reasoning), by relying on fine-grained semantic relationships that are derived from vector space representations. Conversely, logical formulas can be interpreted as spatial constraints on vector space representations. This duality between logical theories and vector space representations opens up various new possibilities for learning interpretable domain theories from data, which will enable new ways of tackling applications such as recognising textual entailment, automated knowledge base completion, or zero-shot learning.
  
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1.  This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
'''More information'''
  
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience. Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors.  If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
+
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 5545BR. Please note the requirement to evidence all essential criteria in the supporting statement.
  
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research.  More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
==  Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK ==
 +
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
 +
*Title: Research Associates in Natural Language Processing / Text Mining
 +
*Speciality: Natural Language Processing, Text Mining
 +
*Location: Manchester, UK
 +
*Deadline: March 13, 2017
 +
*Date posted: February 10, 2017
 +
*Contact: sophia.ananiadou@manchester.ac.uk
  
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
+
The School of Computer Science, National Centre for Text Mining at the University of Manchester seeks to appoint two Research Associates in Natural Language Processing-based Text Mining to expand its text mining research portfolio.
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
They will join a strong team of 12+ staff who work on numerous national and international research projects, including industry, in areas of information extraction, disambiguation, topic analysis, natural language processing, biomedical text mining and machine learning. 
  
Dr. Matt Huenerfauth, Search Committee Chair
+
'''Skills'''
  
Department of Computer Science  
+
You should have a PhD in Computer Science with an emphasis on Natural Language Processing and Text Mining. The focus of your research will be in developing (semi)-supervised methods for information extraction, in particular relation, event extraction and normalisation; a proven ability to develop algorithms for NLP/text mining problems using deep learning will be highly desirable; knowledge of developing text mining workflows using UIMA based environment will be a plus.  You should have excellent programming skills, preferably in Java.
  
Queens College-CUNY
+
* Duration of post: Immediately until 31st October 2018
 +
* Salary: £31,076-£38,183 per annum
  
65-30 Kissena Blvd.
+
'''Research Team'''
  
Flushing, New York 11365-1597
+
The National Centre for Text Mining (http://www.nactem.ac.uk) has been a leading centre for text mining since 2004, with areas of expertise in information extraction, terminology, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research”.
  
matthew.huenerfauth (at) qc.cuny.edu
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Informal enquiries:  Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).  
  
Email submissions with PDF attachments are preferred.  In addition, please arrange for three current letters of reference to be submitted directly by the recommenders.  Review of applications will begin on March 1, 2012, and will continue until the position is filled.
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Deadline of applications: 13/03/2017
  
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply. We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
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Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Latest revision as of 19:07, 16 November 2017


Contents

Visiting Assistant Professor in Computational Linguistics and Language Science at RIT

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

Detailed Job Description:

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

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



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



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



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



We are seeking an individual who has the ability and interest in contributing to a community committed to student-centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT's core valueshonor code, and statement of diversity.



Department Description:

THE UNIVERSITY AND ROCHESTER COMMUNITY:

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



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



Job Requirements:

  • Ph.D. with training in Computational Linguistics, Linguistics, or an allied field for language science, in hand prior to appointment date.
  • Advanced graduate coursework in computational linguistics, including natural language and/or spoken language processing or technical methods in linguistics.
  • Publication record and coherent plan for research and grant seeking activities.
  • Evidence of outstanding teaching.
  • Ability to contribute in meaningful ways to the college's continuing commitment to cultural diversity, pluralism, and individual differences.



How to Apply:
Apply online at http://apptrkr.com/1116776. Please submit your online application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:

  • A research statement
  • A teaching statement
  • Copy of transcripts of graduate coursework
  • A sample publication 
  • The names, addresses, and phone numbers for three references

  •  Statement of diversity

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


Review of applications will begin on November 25, 2017 and will continue until an acceptable candidate is found.

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

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

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

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

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

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

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

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

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


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

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

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

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

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

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

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

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


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

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

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

Research responsibilities include:

  • machine learning and deep learning for machine translation
  • publication in top-tier conferences and journals
  • software development and integration

General responsibilities include:

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

Requirements:

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

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

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

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

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

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

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

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

The successful candidate will be given the opportunity to join the PI team of the graduate school "Adaptive Preparation of Information from Heterogeneous Sources" (AIPHES). The project conducts innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There is close interaction with end users who prepare textual documents in an online editorial office, and who should therefore benefit from the results of AIPHES. In-depth knowledge in one of the above areas is required.

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

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

PostDoc / Senior Researcher, UKP Lab, TU Darmstadt

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

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

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

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

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

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

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience and the names of three referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by November 25, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

Associate Research Scientist, UKP Lab, TU Darmstadt

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

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

to strengthen the group’s profile in the areas of Interactive Text Analysis and Natural Language Processing Infrastructure. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP) with a rapidly developing focus on Interactive Machine Learning, and who provide a wide range of open source software packages for interactive and automatic text analysis to research and industry communities.

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

Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods (e.g. document classification, sequence classification, clustering, etc.), experience with information retrieval systems and databases, scalable data processing, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please submit your application via the following form by November 24, 2017: https://public.ukp.informatik.tu-darmstadt.de/ukprecruitment. The position is open until filled.

KU Leuven, Belgium : Researcher in Automated Reading of Documents

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

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

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

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

We offer a research position in a research team that has an outstanding international reputation in natural language processing and understanding, multimedia mining, machine learning and information retrieval. Within the team we study both theoretical modelling and challenging applications. We investigate probabilistic graphical and deep learning models, with a special focus on learning with limited supervision. We have a special interest in statistical multimodal representation learning where we explore the complementarity of language and visual data. The developed technologies are, among others, applied in the domains of bioinformatics, business intelligence, e-commerce analytics, electronic message filtering, user generated content mining, and web mining and search. KU Leuven is located about 25 kilometers from Brussels, the capital of Europe. For the second year in a row, KU Leuven leads the Reuters ranking as Europe’s most innovative university.

Required

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

Desired

  • Good knowledge of the English language and some knowledge of French or Dutch.

Job Details

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

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

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

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

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

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

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
  • Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
  • Evidence of a strong publication record in the aforementioned areas

Desired

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

Job Details

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

How to Apply
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document named FirstNameLastName.pdf.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

About the University of Colorado and the City of Boulder
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Two Postdoctoral Positions on Interpretable Vector Space Models

  • Employer: Cardiff University
  • Title: Postdoctoral research associate
  • Speciality: Neural networks, statistical relational learning, natural language processing
  • Location: Cardiff, UK
  • Deadline: November 2 2017
  • Date posted: October 6, 2017
  • Contact: Steven Schockaert

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

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

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

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

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

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

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

Salaried 4-year PhD Position in Computational Linguistics/NLP at Stockholm University

  • Employer: Stockholm University, Sweden
  • Title: PhD candidate
  • Speciality: Computational Linguistics/Natural Language Processing
  • Location: Stockholm, Sweden
  • Deadline: October 16, 2017
  • Date posted: September 20, 2017
  • Contact: Robert Östling

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

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

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

Potential applicants are encouraged to contact Robert Östling to discuss possible thesis projects, or other issues related to the position.

Tenure Line Assistant Professor Position in Linguistics at Northwestern University

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

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

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

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

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

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

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

PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

The Research Training Group "Adaptive Information Preparation from Heterogeneous Sources" (AIPHES), which has been established in 2015 at the Technische Universität Darmstadt and at the Ruprecht‑Karls‑University Heidelberg is filling several positions for three years, starting on April 1st, 2018. Positions remain open until filled.

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

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in graph-based discourse processing, in natural language processing tasks such as automated summarization, in representation and analysis of text-induced structures, in jointly analyzing text and images, or in a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

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

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

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

Prerequisites

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The [http://www.cl.uni-heidelberg.de/ Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg] is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “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 should be submitted via the following form by October 6th, 2017: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/. In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.


Postdoc Position on Sentence Understanding and Generation at NYU

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

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

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

For more details, see the full ad here:

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

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

  • Employer: University of Twente
  • Title: PhD position
  • Specialty: Natural Language Generation
  • Location: Enschede, The Netherlands
  • Deadline: 28 August, 2017
  • Date posted: August 4, 2017
  • Contact: Mariët Theune

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

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

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

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

  • Employer: SPARTED
  • Title: Project Researcher
  • Specialty: NLP, Machine Learning, Deep Learning, Information Extraction
  • Location: Paris (16), France
  • Deadline: Until candidate is found
  • Date posted: August 4, 2017
  • Contact: [1]; phone [+33] (06)52148693
  • Website: http://www.sparted.com

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

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

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

  • Employer: Universitat Pompeu Fabra [2], Barcelona, Spain
  • Title: PhD Scholarship
  • Specialty: Text Mining, Information Extraction, Music Information Retrieval
  • Location: Barcelona, Spain
  • Deadline: Until candidate is found
  • Date posted: June 10, 2017
  • Contact: [3]


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

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

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

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


Scientific System Developer, UKP Lab, TU Darmstadt

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

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

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

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

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: jobs@ukp.informatik.tu-darmstadt.de by 31.05.2017. The position is open until filled. Later applications may be considered if the position is still open.

Questions about the position can be directed to: Johannes Daxenberger; phone: [+49] (0)6151 16-25297 We look forward to receiving your application!


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

  • Employer: Cardiff University
  • Title: Postdoctoral Research Associate
  • Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
  • Location: Cardiff, UK
  • Deadline: May 20, 2017
  • Date posted: April 20, 2017
  • Contact: Steven Schockaert

Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:

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

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

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


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


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

  • Employer: University of Colorado Boulder
  • Title: Postdoctoral Research Associate
  • Specialty: Advanced Machine Learning
  • Location: Boulder, Colorado, United States
  • Deadline: Ongoing, desired start Summer/Fall 2017
  • Date posted: March 31, 2017
  • Contact: Dr. Sidney D’Mello

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

The Institute of Cognitive Science (ICS) and Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting Summer/Fall 2017 for one year and renewable for a second year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

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

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education.

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

Required

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

Desired

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

Job Details

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

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

Special Instructions to Applicants: The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.

Questions
Please email Dr. Sidney D’Mello


Researcher in Machine Learning and NLP, DFKI, Germany

  • Employer: DFKI GmbH, Germany
  • Title: Researcher
  • Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
  • Location: Saarbruecken
  • Deadline: March 31, 2017
  • Date posted: March 13, 2017
  • Contact: Prof. Josef van Genabith

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

Key research responsibilities include:

  • machine and deep learning for natural language processing/machine translation
  • software development and integration
  • publication in top-tier conferences and journals

General responsibilities include:

  • engagement with industry partners and contract research
  • identification of funding opportunities and engagement in proposal writing
  • contribution to teaching and supervision in accordance with University and DFKI rules and regulations
  • administrative work associated with programmes of research

Requirements:

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

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

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

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

The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in Multimodal Computing and Interaction and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.

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

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

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


Associate Research Scientist, UKP Lab, TU Darmstadt

  • Employer: UKP Lab, Technische Universität Darmstadt, Germany
  • Title: Associate Research Scientist
  • Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
  • Location: Darmstadt
  • Deadline: March 8, 2017
  • Date posted: February 21, 2017
  • Contact: Prof. Iryna Gurevych

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

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

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

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

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

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

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

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

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the applications to: jobs@ukp.informatik.tu-darmstadt.de by 08.03.2017. The positions are open until filled. Later applications may be considered if the position is still open.

Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University

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

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

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

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

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

Postdoctoral Research Position in Interpretable Machine Learning at Cardiff University, UK

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

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

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

Essential criteria

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

Background about the university

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

Background about the project

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

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

More information

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

Research Associates in Natural Language Processing / Text Mining, University of Manchester, UK

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

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

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

Skills

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

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

Research Team

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

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

Deadline of applications: 13/03/2017

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