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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:
 
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** [[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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** [[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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== 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU ==
+
==PhD Position on Adaptive Text Generation in a Serious Game, The Netherlands==
  
* Employer: CNGL, Dublin City University http://www.cngl.ie
+
* Employer: University of Twente
* Rank or Title: PhD, Post-Doc and Research Programmer
+
* Title: PhD position
* Specialty: Machine Translation, Natural Language Processing, Parsing, Information Retrieval/Extraction, Text Analytics
+
* Specialty: Natural Language Generation
* Location: Dublin, Ireland
+
* Location: Enschede, The Netherlands
* Deadline: February 25, 2013
+
* Deadline: 28 August, 2017
* Date Posted: January 30, 2013
+
* Date posted: August 4, 2017
* Start Date: March, 2013
+
* Contact: [mailto:m.theune@utwente.nl Mariët Theune]
* Duration: 3 year (PhD), up to 2.5 years (Post-Doc)
 
* Contact email: dgroves@computing.dcu.ie
 
  
'''For More Details'''
+
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.
  
http://www.cngl.ie/vacancies.html
+
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:
  
'''Position Description'''
+
https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/1155511
  
CNGL is a €50M+ Academia-Industry partnership, funded jointly by Science Foundation Ireland (SFI) and our industry partners, and is entering its second cycle of funding. CNGL is looking to fill multiple posts associated with its second phase which will focus on expansion of our work into the challenging areas of social text sources and multimedia content.
+
==Permanent Position for Postdocs in Machine Learning & NLP, Paris, France==
  
CNGL is an active collaboration between researchers at Dublin City University (DCU), Trinity College Dublin (TCD), University College Dublin (UCD), University of Limerick (UL), as well as 10 industrial partners, including SMEs, Microsoft, Symantec, Intel, DNP, and Welocalize.  
+
* 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
  
CNGL comprises over 100 researchers across the various institutions developing novel technologies addressing key challenges in the global digital content and services supply chain. CNGL is involved in a large number of European FP7 projects, as well as commercial projects in the areas of language technologies, information retrieval and digital content management. CNGL provides a world class collaborative research infrastructure, including excellent computing facilities, and administrative, management and fully integrated and dedicated on-site commercialisation support.
+
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:
  
The successful candidates will become part of the research team based at DCU, joining two leading academic MT/NLP/IR and Translation research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s location at DCU, minutes from Dublin city centre, offers a highly conducive environment for research, collaboration and innovation with a wealth of amenities on campus.
+
http://files.sparted.com/all/Job%20description/AI%20FICHE%20DE%20POSTE.pdf
  
DCU is ranked in the TOP 50 of young universities worldwide (under 50 years old) (QS Ranking) and in the TOP 100 under the Times Higher Education (under 50 years) ranking scheme.
+
== Funded PhD Position in NLP & Music Technology, Universitat Pompeu Fabra, Barcelona, Spain ==
  
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien, Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
+
* Employer: Universitat Pompeu Fabra [https://www.upf.edu/en/web/etic], Barcelona, Spain
 +
* Title: PhD Scholarship
 +
* Specialty: Text Mining, Information Extraction, Music Information Retrieval
 +
* Location: Barcelona, Spain
 +
* Deadline: Until candidate is found
 +
* Date posted: June 10, 2017
 +
* Contact: [mailto:horacio.saggion@upf.edu]
  
'''PhD Studentships'''
 
  
*Parsing, Analytics and Information Extraction:
+
PhD position on data-driven methodologies for music knowledge extraction
**Tuning Text Analytics to User-Generated Content: Parse quality estimation and targeted self-training.
+
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.
**Extracting Events and Opinions from User-Generated Content: Deep parsing-based methods.
+
*Information Retrieval:
+
Supervisors of the position: Xavier Serra and Horacio Saggion
**Self-Managing Information Retrieval Technologies: Query, search technique and parameter selection in information retrieval applications
+
Contact for application:  Aurelio Ruiz (aurelio.ruiz@upf.edu)
**Indexing and Search for Multimodal (Spoken/Visual) Content: Locating relevant content in multimodal sources
+
**Application of Text Analytics in Information Retrieval: Enhancing information retrieval using features from text analysis
+
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.
**Investigating Human-Computer Interaction Issues for Search and Discovery with Multimodal (spoken/Visual) Content
+
*Machine Translation:
+
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 .
**Syntax- and Semantics-Enhanced Machine Learning Based MT
 
**Domain Adaptation Based on Multi-Dimensional Quality Estimation, Similarity Metrics, Clustering and Search
 
**Human interaction with MT output: Usability, Acceptability, Post-editing Research
 
**MT and Multimodal Interaction
 
**MT for Multimodal Cross Language Information Retrieval
 
 
 
'''Post-Doctoral Positions'''
 
 
 
*Parsing, Analytics and Information Extraction:
 
**Extracting Events and Opinions from User-Generated Content: Parsing-based deep methods (up to 2 year contract)
 
**Extracting Events and Opinions from UGC: Shallow methods, including unsupervised methods (up to 2.5 year contract)
 
*Machine Translation:
 
**User/Human Centric MT (up to 2.5 year contract)
 
 
 
'''Post-Doctoral Positions'''
 
  
*Research Programmer (up to 2.5 year contract)
 
  
For more information please see: http://www.cngl.ie/vacancies.html
 
  
== Assistant Professor Position in Computational Linguistics in NAIST (Nara, Japan) ==
+
== Scientific System Developer, UKP Lab, TU Darmstadt ==
  
* Employer: Nara Insititute of Science and Technology
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
http://www.naist.jp/en/
+
* Title: Scientific System Developer
* Rank or Title: Assistant Professor
+
* Specialty: Argument Mining, Machine Learning, Big Data Analysis
* Specialty: Foundation and/or Application areas of Natural Language Processing, Machine Translation, Web Mining and Grammatical Error Correction/Detection
+
* Location: Darmstadt
* Location: Nara, Japan
+
* Deadline: May 31, 2017
* Deadline: February 28, 2013
+
* Date posted: May 3, 2017
* Date Posted: January 30, 2013
+
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
* Start Date: after April, 2013
 
* Duration: 5 years (reappointment is possible)
 
* Contact email: matsu@is.naist.jp
 
  
'''For Detailed Description'''
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a
  
http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/index_130129.html
+
'''Scientific System Developer'''<br>
 +
'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''
  
==Researchers - AT&T Labs Research==
+
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.  
* Employer: AT&T Labs - Research
 
* Rank or Title: Researchers and Research Software Engineers
 
* Specialty: Natural Language Processing, Speech Processing, Machine Learning
 
* Location: NJ
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: 8 January 2013
 
* Contact email: vkumar@research.att.com
 
  
'''Position Description'''
+
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.
  
AT&T Research, one of the premier industrial research laboratories in the world, is looking for
+
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.
talented individuals to make a difference in the world of communications. Our researchers and  
 
research software engineers are dedicated to solving real problems in speech and language
 
processing, and are involved in inventing, creating and deploying innovative services. We also
 
explore fundamental research problems in these areas. Outstanding Ph.D.-level candidates at
 
all levels of experience are encouraged to apply.  Candidates must demonstrate excellence in
 
research, a collaborative spirit and strong communication and software skills.  
 
  
Areas of particular interest are
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
  
    * Large-vocabulary automatic speech recognition
+
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.
    * Acoustic and language modeling
 
    * Robust speech recognition
 
    * Signal processing
 
    * Text-to-speech synthesis
 
    * Natural language understanding and dialog
 
    * Machine translation (speech and text)
 
    * Speaker biometrics
 
    * Voice and multimodal search
 
    * Software engineering for speech and language processing
 
  
Speech and language positions are based in Bedminster, NJ; New York, NY and Middletown, NJ (note: we are moving from our Florham Park office).
+
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!
  
Outstanding PhD-level candidates at all levels of experience and experienced M.S. candidates
 
are encouraged to apply.  Interviews will be conducted in early 2013.  For more information,
 
visit http://www.research.att.com/ and click on "Working with us", or access the page directly:
 
  
http://www.research.att.com/evergreen/working_with_us/careers.html
+
== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==
  
Candidates must demonstrate a proven research track record and the ability to identify technical
+
* Employer: Cardiff University
problems and research opportunities. Candidates with strong analytical and programming skills (Python, C, C++)
+
* Title: Postdoctoral Research Associate
are desired. Access to massive amounts of real-world data, the ability to work with internal and external
+
* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
collaborators across departments, the possibility of making an impact by developing solutions that will be used
+
* Location: Cardiff, UK
by millions, and the freedom to publish your results are some of the reasons AT&T Labs -
+
* Deadline: May 20, 2017
Research is an exciting place to work.  
+
* Date posted: April 20, 2017
 +
* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
  
AT&T Companies are Equal Opportunity Employers. Applications will continue to be considered until positions are filled.
+
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.  
  
==Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)==
+
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)
* Employer: Comcast
 
* Rank or Title: Engineer 4
 
* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
 
* Location: Washington DC or Philadelphia
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: 6 December 2012
 
* Contact email: brian_curtis@cable.comcast.com
 
  
'''Position Description'''
+
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.
  
Comcast is the largest cable TV company in the world. We are looking for talented engineers to help us shape the future of content discovery for television.
 
  
To help get us there, we are hiring an experienced software engineer to develop new technology and adapt/apply existing technologies to NLP problems for the Comcast Voice Control platform. This position is part of a small team that uses Speech Recognition, Natural Language Understanding/Processing, Machine Learning along with search technologies such as SOLR/Lucene, tf/idf and relevance ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
+
'''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.
  
'''About you'''
 
  
* Education Level: Bachelors Degree or Equivalent
+
== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==
* Field of Study: Computer Science, Engineering
 
* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
 
* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
 
* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
 
* Experience with machine learning and/or algorithms.
 
* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
 
* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
 
* Experience with and understanding of Unix systems (RHEL) desirable.
 
* Experience in Agile development methodologies.
 
* Strong problem solving ability with excellent written/verbal communication and presentation skills.
 
  
 +
* Employer: University of Colorado Boulder
 +
* Title: Postdoctoral Research Associate
 +
* Specialty: Advanced Machine Learning
 +
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start Summer/Fall 2017
 +
* Date posted: March 31, 2017
 +
* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
If you are interested in this position and you think you might have what it takes, send your resume to brian_curtis@cable.comcast.com.
+
'''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)
  
 +
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.
  
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
+
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.
* 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'''
+
'''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
  
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:
+
'''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
  
* Dialog processing
+
'''Job Details'''
* Discourse and anaphora resolution
+
* 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.
* Multimodal generation
+
* Start date is negotiable, but anticipated for Summer/Fall 2017.
* Parsing
+
* 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.
* Entity recognition
 
* Morphology
 
* Multilingual NLP
 
* Semantic interpretation
 
  
'''Responsibilities'''
+
'''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.
  
* Ownership of a major component of the conversational system.
+
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.
* 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 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, 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.
 
  
 +
'''Questions''' <br/>
 +
Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
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. 
 
  
 +
== Researcher in Machine Learning and NLP, DFKI, Germany ==
  
 +
* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
 +
* Title: Researcher
 +
* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
 +
* Location: Saarbruecken
 +
* Deadline: March 31, 2017
 +
* Date posted: March 13, 2017
 +
* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]
  
==Postdoctoral Fellowship - Natural Language Processing==
+
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.
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
 
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
 
* Location: Cincinnati, OH, USA
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: November 9th, 2012
 
* Contact email Imre.Solti@cchmc.org
 
  
'''Position and Requirements'''
+
'''Key research responsibilities''' include:
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?
+
* machine and deep learning for natural language processing/machine translation
 +
* software development and integration
 +
* publication in top-tier conferences and journals
  
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).
+
'''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
  
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
+
'''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
  
'''About the Institution'''
+
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).
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.
 
  
 +
'''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.
  
== Research Programmer position - speech and language processing ==
+
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.
* 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'''
+
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.
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'''
+
'''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.
  
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
+
'''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.
  
* 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.
+
'''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.
  
* 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.
 
  
* 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.
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
  
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.
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Associate Research Scientist
 +
* Specialty: Interactive Machine Learning (IML) or Natural Language Processing for Language Learning
 +
* Location: Darmstadt
 +
* Deadline: March 8, 2017
 +
* Date posted: February 21, 2017
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de Prof. Iryna Gurevych]
  
 +
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
  
 +
'''Associate Research Scientist'''<br />
 +
'''(PostDoc- or PhD-level; for an initial term of two years)'''
  
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
+
to strengthen the group’s profile in the areas of Interactive Machine  
* Employer: Sapienza University of Rome
+
Learning (IML) or Natural Language Processing for Language Learning.
* Location: Rome, Italy
+
The UKP Lab is a research group comprising over 30 team members who
* Deadline: 18th October 2012
+
work on various aspects of Natural Language Processing (NLP), of
* Date Posted: 01st October 2012
+
which Interactive Machine Learning and Natural Language Processing
* Starting date: 1st December 2012
+
for Language Learning are the focus areas researched in collaboration
* Duration: 1+1 years
+
with partners in research and industry.
* 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.
+
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.
  
'''REQUIREMENTS/QUALIFICATIONS'''
+
* 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.
  
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
+
Prior work in the above areas is a definite advantage. Ideally, the
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
+
candidates should have demonstrable experience in designing and  
* Willingness to coordinate and supervise part of the research work of the ERC project.
+
implementing complex (NLP and/or ML) systems, experience in  
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
+
large-scale data analysis, large-scale knowledge bases, and strong  
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
+
programming skills incl. Java. Experience with neural network
* Solid programming skills.
+
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.
  
'''HOW TO APPLY'''
+
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 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.
+
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).
  
'''ABOUT LA SAPIENZA'''
+
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.
  
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.
+
==  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
  
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
+
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 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.
 
 
 
==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, in particular dialogue processing
 
* Location: Ocala, FL
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: September 26th, 2012
 
* Contact email ywilks@ihmc.us
 
 
 
'''About Us'''
 
IHMC (www.ihmc.us) 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  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.
 
 
   
 
   
Required:
+
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.
 
 
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
 
 
 
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
 
 
 
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in 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, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
 
 
 
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
 
 
 
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
 
 
Apply to Yorick Wilks at: ywilks@ihmc.us
 
 
 
 
 
== NLP Research Scientist - Pacific Northwest National Laboratory ==
 
 
 
NLP Research Scientist wanted for work impacting National Security
 
Company: Pacific Northwest National Laboratory
 
Job ID:  301731  http://www.jobs.pnnl.gov/
 
Location:  PNNL - Richland, WA
 
Contact: jill.schroeder@pnnl.gov
 
 
 
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.
 
 
 
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.
 
 
 
Specific responsibilities include:
 
- 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
 
 
 
 
 
Responsibilities & Accountabilities:
 
 
 
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 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.
 
 
 
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.
 
 
 
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.  . 
 
Minimum Requirements 
 
Level II:
 
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.
 
 
 
Level III:
 
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. 
 
Qualifications 
 
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.
 
 
 
Work-related Experience:
 
- 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.
 
- Experience leading project teams in research, design and development a plus.
 
 
 
Breadth of Relevant Specialized Knowledge and Skills:
 
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
 
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
 
- Proficient in the use of Windows, Macintosh, and Linux environments 
 
Preferred Education/Credential 
 
A PhD in computational linguistics is preferred.
 
 
 
Level II:
 
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
 
 
 
Level III PREFERRED:
 
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 
 
Equal Employment Opportunity 
 
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. 
 
Other Information 
 
This position requires the ability to obtain a federal security clearance in a timely manner.  Which requires: 
 
* US Citizenship
 
* 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.
 
* 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.
 
 
 
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
 
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
 
* 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:
 
 
 
* 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.
 
* 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.
 
 
 
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
 
 
 
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
 
 
 
Review of applications will begin in November and will continue until the positions are filled.
 
 
 
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
 
 
 
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
 
 
 
* Employer: Institute of Information Science, Academia Sinica
 
http://www.sinica.edu.tw
 
 
 
http://www.iis.sinica.edu.tw
 
* PI: Lun-Wei Ku (Language Processing Group)
 
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
 
 
 
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
 
 
 
* Rank or Title: Post Doctorial Researcher - Natural 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'''
 
 
 
Ph.D. in computational linguistics / natural language processing or related areas.
 
 
 
Natural language processing / computational linguistics background.
 
Substantial skills in programming and processing large scale corpora.
 
 
 
Ideal: Java skills and standard statistical procedures.  
 
 
 
'''SKILLS AND EXPERIENCE'''
 
 
   
 
   
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.  
+
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.
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)
 
 
 
'''PAYMENT'''
 
 
   
 
   
Around 1900~2000 USD/Month, depends on the currency rate.
+
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.
 
'''HOW TO APPLY'''
 
 
 
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.
 
 
 
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.
 
 
 
 
 
 
 
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
 
* Employer: Sapienza University of Rome
 
* 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.
 
 
 
'''REQUIREMENTS/QUALIFICATIONS'''
 
 
 
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
 
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
 
* 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. Knowledge of Italian is NOT a requirement.
 
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
 
 
 
Experience in research project management is a plus.
 
 
 
'''SPECIFIC REQUIREMENTS'''
 
 
 
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
 
* 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'''
 
 
 
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.
 
 
 
'''ABOUT SAPIENZA'''
 
 
 
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.
 
 
 
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
 
 
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.
 
  
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
+
== 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
  
'''Curata, Inc.'''
+
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.  
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'''
+
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)
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.
+
'''Essential criteria'''
  
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
+
* 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.
  
'''Responsibilities'''
+
'''Background about the university'''
  
* Prototyping concepts and working with engineering team to see them through deployment.
+
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.
* 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'''
+
'''Background about the project'''
* 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
+
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.
  
'''Type:''' Full-Time
+
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.
  
'''Contact:''' engmgt.jobs@curata.com
+
'''More information'''
  
== Research Fellowship at University of Aberdeen ==
+
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.
  
* Employer: University of Aberdeen
+
==  Research Associates in Natural Language Processing / Text Mining,  University of Manchester, UK ==
* Job Title: Research Fellow in Natural Language Generation
+
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
* Location: Aberdeen, UK
+
*Title: Research Associates in Natural Language Processing / Text Mining
* Deadline: 23rd July 2012
+
*Speciality: Natural Language Processing, Text Mining
* Date Posted: 11th July 2012
+
*Location: Manchester, UK
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
+
*Deadline: March 13, 2017
* Contact email: c.mellish@abdn.ac.uk
+
*Date posted: February 10, 2017
 +
*Contact: sophia.ananiadou@manchester.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.
+
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.
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.
 
  
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.  
+
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.
  
== Executive Director at University of Maryland ==
+
'''Skills'''
  
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
+
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 plusYou should have excellent programming skills, preferably in Java.  
** Title:  Executive Director
 
** Location:  College Park, MD
 
** Deadline:  Open until filled
 
** Date Posted:  July 2, 2012
 
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
 
** Contact email: tswallst@umd.edu
 
  
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.
+
* Duration of post: Immediately until 31st October 2018
 +
* Salary: £31,076-£38,183 per annum
  
'''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. 
+
'''Research Team'''
  
'''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.
+
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”.
  
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
+
Informal enquiries:  Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).  
  
'''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
+
Deadline of applications: 13/03/2017
  
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.
+
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Latest revision as of 14:23, 4 August 2017

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