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== LINGUISTIC SOLUTIONS ARCHITECT (M/F) ==
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* See also the [http://linguistlist.org/jobs Linguist Job List].
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* Archived postings:
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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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<!-- INSERT YOUR JOB AD IMMEDIATELY BELOW THIS HEADER -->
  
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*Employer: euroscript Luxembourg S.à r.l.
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== Scientific System Developer, UKP Lab, TU Darmstadt ==
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*Location: Bertrange, Luxembourg or Berlin, Germany
 
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*Start date: asap
 
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*website: http://www.euroscript.com
 
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*date posted: 24/10/2011
 
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*deadline: Applications accepted until position is filled
 
  
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'''Your role:'''
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* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
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* Title: Scientific System Developer
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* Specialty: Argument Mining, Machine Learning, Big Data Analysis
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* Location: Darmstadt
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* Deadline: May 31, 2017
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* Date posted: May 3, 2017
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* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
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As part of a global team, we are looking for experts in linguistic technology, including but not limited to, statistical machine translation (SMT), open source tools, and automation workflows
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The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for a
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'''
 
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Your responsibilities:'''
 
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*Design, implementation and maintenance of components for euroscript’s internal machine translation services;
 
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*Analysis of project workflows with respect to leverage of machine translation, definition of project-specific requirements on the machine translation service;
 
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*Evaluation and optimization of the performance of the machine translation service;
 
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*Permanent survey of on-going market, technological and scientific developments in the area of translation automation
 
  
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'''Your profile:'''
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'''Scientific System Developer'''<br>
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'''(PostDoc- or PhD-level; time-limited project position until April 2020)'''
  
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[[Required:]]
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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.
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*MSc/Diploma in computational linguistics or computer science with good knowledge of machine translation (MT), as well as a broad overview of tasks, tools and developments in the area of natural language processing;
 
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*High familiarity with recent developments in SMT;
 
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*Ability to translate ideas from scientific research to practical application in a commercial environment;
 
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*At least three years of programming experience;
 
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*Ability to write technical documents and scientific papers in English;
 
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*Independent and open minded, with a strong sense of initiative;
 
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*Able to work harmoniously with other members within an international, multidisciplinary team, and with a multilingual user community;
 
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*Prior practical experience with statistical and/or grammar-based MT systems;
 
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*Good oral and written command of English is required
 
  
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[[Preferred:]]
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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.
  
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*Practical experience with open source statistical machine translation systems (e.g. Moses);
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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.
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*Programming experience with Python;
 
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*Familiarity with further EU languages (preferably French, Dutch or German);
 
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*Experience in the translation environment and with CAT-Tools
 
  
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Are you looking for a new challenge? Are you ready to join an international, dynamic and goal-oriented environment?  If so, please send us your full application, indicating the reference LSA-10/2011 at the following email address: [[careers@euroscript.com]]
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Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).  
  
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'''About us:'''
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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.
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euroscript International is a leader in providing customers with global solutions in content lifecycle management. The euroscript divisions deliver comprehensive solutions that help customers design, build and run content management operations of all sizes. Thanks to its employees' expertise in the fields of language services, content and document management and system integration, euroscript is able to help businesses around the world to manage content more efficiently.
 
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With a market presence in over 16 countries, euroscript serves customers in a variety of business sectors including the public sector, aerospace, defence and transport, manufacturing, life sciences, financial services and energy and environment.
 
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euroscript Luxembourg S.à.r.l. is part of euroscript International S.A.
 
  
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== Practical Natural Language Processing and Text Mining Professional ==
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Questions about the position can be directed to: [mailto:jobs@ukp.informatik.tu-darmstadt.de Johannes Daxenberger]; phone: [+49] (0)6151 16-25297
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** Employer: ComplaintLink
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We look forward to receiving your application!
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** Specialty: Specialty: entity named extraction, text mining, machine learning algorithms
 
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** Location: H.O. in Toronto but you can work off-site anywhere in the world
 
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** Deadline: Applications accepted until the position is filled
 
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** Date Posted: October 14, 2011
 
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** Start Date: ASAP
 
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** Duration: contract position - 2 to 4 months
 
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<p><strong>Position: Complaint Link Inc. is interested in hiring an off-site skilled NLP professional to work on a software project in the area of natural language processing, topic detection, and machine learning algorithms. </strong></p> <p>About the employer: ComplaintLink is a web start-up with a relatively simple user-interface and very complicated analytical software that will incorporate machine learning algorithms, natural language processing, sentiment analysis, entity named extraction, search algorithms and other data mining and business intelligence functionality. The website is structured much like a sophisticated forum with a social-networking component. The data being analyzed will be from user-generated textual discussions around a multitude of topics that will continuously be updated.
 
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</p><p>Description of project: The successful candidate will be working with other LAMP developers to bring an online business to fruition. The candidate will, using open source resources, intelligence and imagination, develop software that will function as the brains behind this online business.</p><p>The software being developed will access our site’s database and have the ability, without any manual keyword input for direction, to mine all textual data and present clearly which are the most 'important' or ‘passionate’ conversations and issues and be able to extract what those issues are and what related significant information is involved in those discussions. It will be able to identify and draw associations between significant pieces of information and present the information extracted in a way that provides a clear picture of the activity on the site in a practical and meaningful manner.</p><p>Degree and expertise:  This project requires someone with a passion for machine learning algorithms and natural language processing. Ideally the candidate will be a postdoctoral fellow or at least someone as smart and experienced as one in the area of Natural Language Processing, machine learning algorithms, and data extraction and analysis. You must be able to work in a LAMP environment, be skilled with MySQL, be smart, reliable, and a self-starter with excellent problem solving and analytical abilities. You must have a solid grasp of English – written and verbal.</p><p>If you are interested in this opportunity please contact us at the following address:  developers  {at}  ComplaintLink  {dot} {com}  Please include your CV and a short description of your past work and studies and interests.</p>
 
  
  
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== Two postdoc positions on plausible reasoning with vector space embeddings at Cardiff University ==
  
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== Assistant Professor Position at Graduate School of Information Science, NAIST, Japan ==
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* Employer: Cardiff University
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* Employer: Graduate School of Information Science, Nara Institute of Science and Technology
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* Title: Postdoctoral Research Associate
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* Rank or Title: Assistant Professor (5 years + 3 year extension)
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* Specialty: vector space embeddings, statistical relational learning, knowledge representation, neural networks, explainable AI
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* Specialty: Natural Language Processing, Machine Learning, Text Mining
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* Location: Cardiff, UK
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* Location: Nara, Japan
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* Deadline: May 20, 2017
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* Deadline: 11th November, 2011
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* Date posted: April 20, 2017
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* Date Posted: 12th October, 2011
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* Contact: [mailto:schockaerts1@cardiff.ac.uk Steven Schockaert]
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* Contact email: (for informal enquiries) matsu@is.naist.jp
 
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* Website: http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/20111006index.html
 
  
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Applications are invited for two Postdoctoral Research Associate posts at Cardiff University’s School of Computer Science & Informatics:
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* 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.
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*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.
  
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== NLP: Two Research Scientist positions: 1) NLG and 2) Computational Semantics ==
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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)
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* Employer: University of Colorado Boulder
 
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* Rank or Title: Research Scientists
 
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* Specialty: NLG, NLU, Computational Semantics, Spoken Dialogue Systems
 
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* Location: Boulder, CO, USA
 
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* Deadline: Until filled
 
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* Date Posted: 11 October 2011
 
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* Contact email: Rodney.Nielsen@Colorado.edu
 
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* Website: http://www.RodneyNielsen.com
 
  
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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.
  
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The Companionbots project in the Computational Language and Education Research Center, Institute of Cognitive Science, University of Colorado, Boulder, invites applications for two postdoctoral Research Scientist positions in Human-Robot Dialogue: one in Natural Language Generation (NLG) and the second in Computational Semantics / Natural Language Understanding.
 
  
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Project Description
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'''More information'''
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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.
  
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CU Boulder is leading a large collaborative NSF-funded project, “Companionbots for Proactive Therapeutic Dialog on Depression”, to conduct research on a new class of dialog-based, home robotic healthcare assistants to facilitate in-home, real-time care. The research team integrates a broad spectrum of expertise including Clinical & Psychiatric Healthcare, Speech, Dialog, Natural Language Processing, Robotics, Computer Vision, Machine Learning, Human Factors and Cognitive Science. The immediate project will result in enabling technology for home healthcare Companionbots that integrates language, vision, and emotive technology to proactively recognize situations and dialog with isolated and elderly patients suffering from depression.
 
  
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Object recognition and human activity recognition will augment natural language processing to provide current and historical context important to dynamic dialog. An emotive, physical avatar will provide an interaction mechanism with sufficient trust to extract meaningful information that may not be observable in the immediate environment. A central and unique aspect of the Companionbot’s dynamic dialog is the proactive generation of questions, which is driven by a user model including context, goals, health information, experiences, interests, and prior interactions. In addition to providing real-time intervention capabilities, the benefits of Companionbots include the continuous collection of physical and mental health data to improve doctor-patient interaction and enable data mining across patient cohort groups.
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== Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis, University of Colorado Boulder ==
  
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* Employer: University of Colorado Boulder
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* Title: Postdoctoral Research Associate
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* Specialty: Advanced Machine Learning
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* Location: Boulder, Colorado, United States
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* Deadline: Ongoing, desired start Summer/Fall 2017
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* Date posted: March 31, 2017
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* Contact: [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
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Natural Language Generation (NLG) Position
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'''Postdoc in Machine Learning for Multimodal Behavior and Mental State Analysis''' <br/>
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(Institute of Cognitive Science and Department of Computer Science at the University of Colorado Boulder)
  
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The successful applicant will research and develop natural spoken dialogue generation components, with an emphasis on question generation, in the context of emotive, companion robots (Companionbots) communicating with isolated elderly suffering from depression. NLG will span multiple genres from casual conversation to goal-directed mental health education and training. It will also explore multiple techniques from more traditional Spoken Dialogue Systems (SDS) approaches to more recent text-to-text NLG methods. You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLG expertise to a critical real-life problem in a multidisciplinary environment.
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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.
  
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The Companionbots project includes numerous collaborators. Key to this position, Kathy McKeown, Columbia University, will consult on the Natural Language Generation components and co-advise this post-doc. You will also interact closely with the project’s clinical experts in understanding subjects and developing healthcare-related dialogue strategies, with users to help guide and evaluate research & development, and with project members involved in SDS, Automatic Speech Recognition (ASR), NLU, Vision, and the physical & visual expression of emotion. The project will involve significant bidirectional interaction between these constituents and their associated system components.
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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).
  
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This position is available immediately and is initially for one year, with the possibility of an extension up to three years based on performance.
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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.
  
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Qualifications
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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.
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
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'''Required'''
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* Rigorous experience and skills in NLG, preferably in conversational SDS, as evidenced by a publication record
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* Ph.D. in Computer Science, Artificial Intelligence, or a related field (at the time of hire)
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* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
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* 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)
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* Excellent software design and implementation skills
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* Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record
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* Good verbal communication and English writing skills
 
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* The ability to work both independently and in a multidisciplinary team
 
  
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* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in usability, cognitive science, user modeling, or discourse analysis related to NLG and SDS
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'''Desired'''
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* 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)
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* Experience mentoring graduate and undergraduate students
  
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'''Job Details'''
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* 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.
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* Start date is negotiable, but anticipated for Summer/Fall 2017.
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* 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.
  
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Computational Semantics Position
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'''How to apply''' <br/>
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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.
  
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The successful applicant will research and develop NLP components, with an emphasis on semantic interpretation of spoken dialogue in the context of emotive, companion robots (Companionbots) communicating with isolated elderly who are suffering from depression. NLP will be used to develop a deep understanding and representation of a situation based on past and immediate context. The semantics extracted will be used to construct a user model and predict future adverse events and situations.  You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLP expertise to a critical real-life problem in a multidisciplinary environment.
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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.
  
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The Companionbots project includes numerous collaborators. You will interact closely with the project’s clinical experts in understanding subjects and relevant healthcare-related dialogue, with users to help guide and evaluate research & development, with Vision researchers to enhance contextual understanding, with Automatic Speech Recognition (ASR) experts to improve ASR with semantic context, with a Natural Language Generation researcher to inform the spoken dialogue using deeper semantics, and with mechantronics researchers to ensure contextually appropriate emotive output. The project will involve significant bidirectional interaction between these constituents and their associated system components.
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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].
  
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This position is available immediately and is initially for one year, with the possibility of extension based on performance.
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'''Questions''' <br/>
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Please email [mailto:sidney.dmello@gmail.com Dr. Sidney D’Mello]
  
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Qualifications
 
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
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== Researcher in Machine Learning and NLP, DFKI, Germany ==
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* Rigorous experience and skills in computational semantics, preferably in the context of conversational SDS, as evidenced by a strong publication record
 
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* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
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* Excellent software design and implementation skills
 
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* Good verbal communication and English writing skills
 
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* The ability to work both independently and in a multidisciplinary team
 
  
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* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in user modeling, discourse analysis, and cognitive science related to SDS
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* Employer: [http://www.dfki.de/ DFKI GmbH], Germany
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* Title: Researcher
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* Specialty: Machine Learning and Natural Language Processing, Deep Learning, Machine Translation
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* Location: Saarbruecken
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* Deadline: March 31, 2017
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* Date posted: March 13, 2017
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* Contact: [mailto:mlt-sek@dfki.de Prof. Josef van Genabith]
  
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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.
  
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The Center for Computational Language and Education Research (CLEAR)
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'''Key research responsibilities''' include:
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* machine and deep learning for natural language processing/machine translation
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* software development and integration
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* publication in top-tier conferences and journals
  
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You will be part of the Institute of Cognitive Science’s Center for Computational Language and Education Research (CLEAR), which includes prominent senior human language technology faculty Drs. James Martin (co-author of Speech and Language Processing), Martha Palmer (PropBank, VerbNet, …), Wayne Ward (an ASR and SDS pioneer, who will lead the speech aspects of Companionbots), and others. Including students, CLEAR consists of about 40 researchers with backgrounds in computer science, linguistics, machine learning, cognitive science, psychology, education and human computer interaction. The group’s research investigates a variety of topics and applications, but emphasizes the application of human language technologies to educational and medical applications. CLEAR is housed at the Center for Innovation and Creativity along side numerous researchers in allied fields including psycholinguistics, cognitive neuroscience, reading, and cognitive disability research. All of these factors make CU Boulder one of the leading institutions for research in computational semantics.
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'''General responsibilities''' include:
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* engagement with industry partners and contract research  
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* identification of funding opportunities and engagement in proposal writing
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* contribution to teaching and supervision in accordance with University and DFKI rules and regulations
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* administrative work associated with programmes of research
  
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'''Requirements:'''
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* MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
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* Strong background and track record in machine learning, neural nets and deep learning
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* Strong background and track record in NLP and MT - Excellent programming skills
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* Excellent problem solving skills, independent and creative thinking
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* Excellent team working and communication skills
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* Excellent command of written and oral English
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* Command of German and other  languages not a requirement but helpful
  
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Boulder, Colorado
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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).
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Boulder, just 25 miles from Denver, is a mid-sized community of 300,000 residents nestled along the Flatirons, at the foothills of the Rocky Mountains. Boulder’s citizens report the highest quality of life ratings in the United States among mid-sized cities, perhaps because of its balance of intellectual and outdoor recreational capital. Apart from the University of Colorado at Boulder, Colorado’s flagship university, Boulder is home to three major scientific National Institutes and numerous high-tech companies.
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'''Working environment:'''
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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.
  
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Boulder boasts outstanding outdoor recreational opportunities. It was rated the "#1 Sports Town in America" by Outside Magazine. Boulder residents enjoy over 300 sunny days per year and immediate access to climbing, hiking, kayaking, and fishing within walking distance of the city center. World-class outdoor recreation is available in the 30,000 acres of open space parks surrounding Boulder, Rocky Mountain National Park (just 40 miles away), and 8 outstanding ski resorts (within 20-100 miles).
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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.
  
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In addition to its scientific and scholarly strengths, Boulder possesses a unique blend of cultural interests. Because of its desirability as a place to live, Boulder is also home to a high concentration of novelists, Olympic and other elite athletes. These groups together support over 300 restaurants, more than 30 art galleries, 4 local museums, 32 movie and stage theaters, and many festivals, including the Colorado Shakespeare Festival and the Colorado Music Festival.
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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.
  
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'''Geographical environment:'''
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[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.
  
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Application
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'''Starting date, duration, salary:'''
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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.
  
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Please email questions about these positions to the Companionbot’s Principal Investigator:
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'''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.
  
−
Rodney.Nielsen@colorado.edu
 
  
−
Rodney Nielsen, Ph.D.
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
−
Research Scientist
 
−
Computational Language and Education Research Center
 
−
Institute of Cognitive Science
 
−
University of Colorado, Boulder
 
  
 +
* 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]
  
−
To apply follow the instructions at the Jobs at CU link below to submit your CV (with details regarding research experience), a statement of research interests, links to your most relevant papers, and a list of at least 3 references with email addresses.
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has two openings for an
  
−
Natural Language Generation:
+
'''Associate Research Scientist'''<br />
−
http://www.jobsatcu.com/applicants/Central?quickFind=66322
+
'''(PostDoc- or PhD-level; for an initial term of two years)'''
  
−
Natural Language Understanding:
+
to strengthen the group’s profile in the areas of Interactive Machine
−
http://www.jobsatcu.com/applicants/Central?quickFind=66325
+
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 University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at (303) 492-1334.
+
* 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.  
  
−
The University of Colorado at Boulder conducts background checks on all final applicants being considered for employment.  
+
Prior work in the above areas is a definite advantage. Ideally, the
 +
candidates should have demonstrable experience in designing and
 +
implementing complex (NLP and/or ML) systems, experience in
 +
large-scale data analysis, large-scale knowledge bases, and strong
 +
programming skills incl. Java. Experience with neural network
 +
architectures and a sense for user experience design are a strong
 +
plus. Combining fundamental NLP research on Interactive Machine
 +
Learning or Natural Language Processing with practical applications
 +
in different domains including education will be highly encouraged.
  
 +
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
environment for the position to be filled. The Department of Computer
 +
Science of TU Darmstadt is regularly ranked among the top ones in
 +
respective rankings of German universities. Its unique research
 +
initiative "Knowledge Discovery in the Web" and the Research Training
 +
Group [https://www.aiphes.tu-darmstadt.de/ "Adaptive Information Processing of Heterogeneous Content" (AIPHES)] funded by the DFG emphasize NLP, machine learning, text
 +
mining, as well as scalable infrastructures for the assessment and
 +
aggregation of knowledge. UKP Lab is a highly dynamic research group
 +
committed to high-quality research results, technologies of the
 +
highest industrial standards, cooperative work style and close
 +
interaction of team members working on common goals.
  
−
== Four positions in folktale analysis, classification and clustering ==
+
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).
  
−
Applications are invited for two PhD-students, a post-doc researcher, and a scientific programmer. They will work on the automatic analysis, classification and clustering of Dutch folktales in a collaborative project within The Netherlands. The first PhD will work as part of the Tunes & Tales project, funded under the Computational Humanities programme of the Royal Netherlands Academy of Arts and Sciences (KNAW). The others will work in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). Both are multidisciplinary research projects involving collaboration between computer science and humanities researchers. Because the research is focused on Dutch folktales, we expect the PhD-students and the postdoc to have at least passive knowledge of the Dutch language. For all positions, proficiency in Dutch is a plus.
+
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.
  
−
1) The first PhD-student will work on the automatic detection of motifs in folktales, in the context of a project that investigates sequences of motifs in melodies as well as folktales, and their variability in oral transmission. More information and application:
+
==  Postdoctoral Fellowship in Linguistics and Cognitive Science at Northwestern University ==
−
http://www.meertens.knaw.nl/cms/nl/vacatures-othermenu-334/143642-phd-student-computational-linguistics
+
*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
  
−
2) The second PhD-student will work on automatic classification of folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. More information and application:
+
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).
−
http://www.utwente.nl/vacatures/?VacatureID=169016
+
−
 
+
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.
−
3) The postdoc will work on the automatic annotation of folktales. This will involve language identification, keyword detection, named entity recognition, genre classification, and automatic summarization. More information and application:
 
−
http://www.utwente.nl/vacatures/?VacatureID=169024
 
−
 
 
−
4) The scientific programmer will create user-friendly annotation and visualization tools for folktale researchers that incorporate the annotation and clustering techniques developed by the postdoc and the second PhD student. In addition, the programmer will develop an XML-based search system that allows the general public to search for folktales based on their annotations. More information and application:
 
−
http://www.utwente.nl/vacatures/?VacatureID=169177
 
−
 
 
−
The team members in the FACT project (positions 2-4) will be employed at the University of Twente, but will spend most of their time "on site" at the Meertens Institute (http://www.meertens.knaw.nl), which maintains the large collection of folktales that is the main focus of the research in FACT (http://www.verhalenbank.nl). All team members will be part of the e-Laboratory on Oral Culture at the Meertens Institute. More vacancies for this lab can be found here: http://www.meertens.knaw.nl/cms/nl/vacatures-othermenu-334
 
−
 
 
−
The closing date for applications is 15 October 2011.
 
−
 
 
−
 
 
−
== Senior Research Positions (Machine Translation) at the CNGL, Dublin City University ==
 
−
* Employer: CNGL, Dublin City University
 
−
* Rank or Title: Professor / Assoc. Professor (5 years, first 2 years research exclusively), Senior Research Fellow / Research Fellow (3 years)
 
−
* Specialty: Machine Translation, NLP, Computational Linguistics
 
−
* Location: Dublin, Ireland
 
−
* Deadline: 3rd October (Senior Research Fellow / Research Fellow); 7th October (Professor / Assoc. Professor)
 
−
* Date Posted: 20th September 2011
 
−
* Contact email: (for informal enquiries) josef@computing.dcu.ie, psheridan@computing.dcu.ie
 
−
* Website: http://www.cngl.ie
 
−
 
 
−
 
 
−
At the Centre for Next Generation Localisation (CNGL), Dublin, Ireland, we have a number of exciting career opportunities available and are seeking to recruit a Professor / Associate Professor and a Research Fellow/ Senior Research Fellow who have an established international track record and reputation in the area of Machine Translation (MT).
 
−
 
 
−
The Professor/Associate Professor is a 5 year appointment and is based within the School of Computing at Dublin City University (DCU), with the first 2 years focused exclusively on research/leadership within the CNGL MT group. Subsequently, the successful candidate will be expected to contribute to the normal teaching and administrative functions of a senior member of academic staff with the School but with continued contribution to the CNGL.
 
−
 
 
−
The Research Fellow / Senior Research fellow position is a 3 year appointment and the successful candidate will join the centre’s team to take a leading role in creating and establishing research projects in MT within the centre’s research programme.
 
−
 
 
−
These positions provide an excellent opportunity for strong and ambitious researchers to further develop their careers and to join a highly-regarded, dynamic and well-funded research centre in the area of language technology research.  
 
 
   
 
   
−
We are interested in hearing from a wide range of applicants from a variety of backgrounds, focused around MT and related technologies.
+
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.
−
 
 
−
The successful candidates will become part of the existing research team based at DCU, joining one of the world’s largest academic MT research groups comprising over 20 researchers, and together with CNGL’s PIs will co-lead/lead research teams and contribute to the supervision of postgrads and PhD students.
 
−
 
 
−
The post-holders will have the benefit of interaction and collaboration with the wider CNGL research teams, including the significant body of researchers working on other aspects of Language Technology across the four partner universities (DCU, Trinity College Dublin, University College Dublin, University of Limerick) at the CNGL.
 
−
 
 
−
 
 
−
For more details please see the full job specifications at:
 
−
 
 
−
http://www.cngl.ie/drupal/sites/default/files/AP_Prof_in_Machine_Translation.pdf
 
−
 
 
−
http://www.cngl.ie/drupal/sites/default/files/Senior_Research_Fellow_MT.pdf
 
−
 
 
−
 
 
−
'''Indicative Salary (subject to experience and qualifications)''':
 
−
 
 
−
**Professor:  €113,064 - €145,952
 
−
**Assoc. Professor:  €82,974 - €110,062
 
−
 
 
−
**Senior Research Fellow:  €63,125 - €68,817
 
−
**Research Fellow:  €42,394 - €56,442
 
−
 
 
−
 
 
−
'''For informal enquiries please contact''':
 
−
 
 
−
Centre Director
 
−
 
 
−
Prof. Josef Van Genabith, CNGL, DCU
 
−
 
 
−
Phone: 353 (0)1 7006700
 
−
 
 
−
E-mail: josef@computing.dcu.ie
 
−
 
 
−
 
 
−
Associate Director
 
−
 
 
−
Dr. Páraic Sheridan, CNGL, DCU
 
−
 
 
−
Phone: 353 (0)1 7006707
 
−
 
 
−
E-mail: psheridan@computing.dcu.ie
 
−
 
 
−
 
 
−
'''To Apply''':
 
−
 
 
−
Application forms are available from http://www.dcu.ie/vacancies/APPLICATION_FORM_8pg.doc
 
−
 
 
−
Email the completed application form, together with your CV, to: hr.applications@dcu.ie
 
−
 
 
−
 
 
−
 
 
−
== NLP and text-mining researchers for a NLP centre of excellence at eBay-Research ==
 
−
* Employer: eBay
 
−
* Rank or Title: Research Scientist (at various levels)
 
−
* Specialty: Computational Linguistics, NLP, Text-mining
 
−
* Location: San Jose, CA, USA
 
−
* Deadline: Until filled
 
−
* Date Posted: 12 September 2011
 
−
* Contact email: researchlabs@ebay.com
 
−
* Website: http://labs.ebay.com
 
−
 
 
−
eBay Research Labs is a team of domain-area experts and researchers. With hundreds of millions of buyers and sellers, and hundreds of millions of live listings at any point of time, millions of daily transactions and billions of daily queries on eBay, the labs provides an amazing playground for researchers to work with data and conduct experiments at scale. The labs is currently starting a Natural Language Processing center of excellence and is hiring NLP and text mining experts. We have many positions available from post-doc and visiting faculty (why not spending your sabbatical with eBay?) to junior and senior permanent researchers.
 
−
 
 
−
'''Primary Job Responsibilities'''
 
−
* Conduct world-class research in the area of NLP and text mining
 
−
* Support the research activities of other members of the research labs
 
−
* Develop rapid prototypes to show-case new business ideas or the capabilities of emerging enabling technologies
 
−
* Participate in evolving business and technology innovation ideas and developing them to align with the business strategies
 
−
 
 
−
'''Job Requirements'''
 
−
* Ph.D. or equivalent in NLP or text mining
 
−
* Excellent hands-on algorithmic, server-side, and client-side programming skills
 
−
* Highly creative and innovative in problem solving and willing to experiment with new ideas and technologies
 
−
* Strong leadership skills, an ability to learn quickly, and a "can-do" attitude
 
−
* Excellent interpersonal skills and presentation skills, including the ability to communicate effectively in small and large groups, and at various levels of the organization
 
−
 
 
−
If you yearn to drive invention and innovation across eBay Marketplaces, Paypal, and beyond, and are looking for employment opportunities, please submit your resume at researchlabs@ebay.com.
 
−
 
 
−
== Assistant/Associate Professor in Computational Linguistics, The Ohio State University ==
 
−
** Employer: The Ohio State University
 
−
** Rank or Title: Assistant or Associate Professor
 
−
** Specialty: Computational Linguistics
 
−
** Location: Columbus, OH, USA
 
−
** Deadline: 15 December 2011
 
−
** Date Posted: 26 August 2011
 
−
** Contact email: mwhite@ling.ohio-state.edu
 
−
** Website: http://linguistics.osu.edu/clannounce
 
−
 
 
−
The Department of Linguistics at the Ohio State University seeks candidates for a tenure-track Assistant Professor or tenured Associate Professor position in computational linguistics, starting Autumn 2012. Candidates should have a strong background in statistical modeling and machine learning, but otherwise the area of specialization within computational linguistics is open. Candidates are expected to have their Ph.D. completed by the time of the appointment.
 
−
 
 
−
The new assistant or associate professor will be expected to be active in research and publication, to meet standard departmental teaching requirements and to perform service duties as required by the department and the university.
 
−
 
 
−
Review of applications will begin on December 15, 2011, and will continue until the position is filled.
 
−
 
 
−
Dossiers consisting of a letter of interest, current curriculum vitae and the names of three references should be sent to:
 
−
 
 
−
Computational Linguistics Search Committee <br/>
 
−
Department of Linguistics <br/>
 
−
The Ohio State University <br/>
 
−
222 Oxley Hall <br/>
 
−
1712 Neil Avenue <br/>
 
−
Columbus, OH 43210-1298
 
−
 
 
−
For questions, please contact Michael White (mwhite@ling.ohio-state.edu). For information about the Computational Linguistics and Language Technology group and the Department of Linguistics, please visit http://www.ling.ohio-state.edu/cllt/ and http://linguistics.osu.edu.
 
−
 
 
−
The Ohio State University is an Equal Opportunity/Affirmative Action employer. Women, minorities, Vietnam-era veterans, disabled veterans, and individuals with disabilities are encouraged to apply.
 
−
 
 
−
== Computational Linguist Expert in SMT ==
 
−
** Employer : Sogeti Luxembourg
 
−
** Rank or Title : Consultant
 
−
** Specialty : Computational Linguist expert in SMT
 
−
** Location : Luxembourg, Europa
 
−
** Deadline : 1 September 2011
 
−
** Date Posted : 17 August 2011
 
−
** Contact email : laurent.marquis@sogeti.lu
 
−
 
 
−
We are looking for experts in statistical machine translation (SMT) for an
 
−
important project in the European Public Sector.
 
−
Required experience and qualifications:
 
−
- PhD or MSc/Diploma in computational linguistics or computer science with
 
−
excellent knowledge of machine translation (MT) and/or machine learning for
 
−
natural language processing
 
−
- Familiarity with recent developments in SMT and the motivation to apply novel
 
−
approaches emanating from ongoing research to practical translation tasks in
 
−
many languages and to systematically evaluate their suitability
 
−
- Ability to write scientific papers and technical documents in English
 
−
- Open-mindedness and the will to collaborate closely within an international,
 
−
multidisciplinary team, motivation to work with a multilingual user community
 
−
- Experience in designing and running large-scale experiments, including the
 
−
necessary skills to manage large data sets and long-running experiments in a
 
−
distributed computational environment would be highly desirable, interest in
 
−
developing such skills is mandatory
 
−
- Experience with both statistical and grammar-based approaches to MT would
 
−
be highly desirable
 
−
- Good oral and written command of English is required; familiarity with
 
−
additional EU languages (preferrably Eastern/Northern European) is a strong
 
−
plus
 
−
If you match with the profile, feel free to contact me at laurent.marquis@sogeti.lu
 
−
 
 
−
 
 
−
 
 
−
== Research Associate in Statistical Natural Language Processing ==
 
−
** Employer : University of Geneva
 
−
** Rank or Title : Post-doctoral Research Associate
 
−
** Specialty : Statistical Natural Language Understanding
 
−
** Location : Geneva, Switzerland
 
−
** Deadline : 1 September 2011
 
−
** Date Posted : 9 August 2011
 
−
** Contact email : James.Henderson@unige.ch
 
−
 
 
−
The University of Geneva, Department of Computer Science, invites applications for a post-doctoral research associate position in natural language processing.  The successful candidate will be part of the EU-funded project PARLANCE.  He/she will investigate statistical methods for natural language understanding, including spoken language understanding.
 
−
 
 
−
The PARLANCE project will design and build mobile applications that approach human performance in conversational spoken interaction, targeting interactive search and information provision applications.  The PARLANCE systems will be based on probabilistic inference procedures and incremental dialog processing.  Systems will be developed for English, Spanish and Mandarin.  The other project partners are Cambridge University, Heriot-Watt University, CRSA, iSoco, and Yahoo! Iberia.
 
−
 
 
−
At the University of Geneva, the project will be lead by James Henderson (Department of Computer Science) and Paola Merlo (Department of Linguistics) within the research group Computational Learning and Computational Linguistics (http://clcl.unige.ch/).  Work will focus on incremental models of spoken language understanding which integrate domain-general statistical models of syntactic-semantic parsing, as well as open-domain information extraction.  The successful candidate will be expected to participate in this project, plus engage in research of their own choosing.
 
−
 
 
−
Applicants should have received a PhD in Computer Science or Computational Linguistics by the start of the project.  The ideal candidate will have a background in natural language processing, statistical methods, machine learning, and spoken language understanding.  Good programming skills are required.  Fluency in either English or French is required.
 
−
 
 
−
The appointment is initially for a fixed term of 3 years, with a start date of 1 November 2011 or soon thereafter. Competetive salary, according to qualifications.
 
−
 
 
−
Review of applications will begin immediately, but will continue until the position is filled.  Applications received by 1 September 2011 will be guaranteed full consideration.
 
−
 
 
−
Applicants should send a curriculum vitae, a statement of research interest, and names and addresses of at least 3 references to James Henderson at James.Henderson@unige.ch, with PARLANCE Postdoc as the subject line. 
 
−
 
 
−
Informal inquiries can be addressed to James Henderson (James.Henderson@unige.ch) or to Paola Merlo (Paola.Merlo@unige.ch).  The University of Geneva wishes to increase the proportion of female academic staff and, for this reason, especially welcomes applications from women.
 
−
 
 
−
 
 
−
== Electronic Health Record Data and Text Mining Postdoctoral Fellowship Position ==
 
−
** Employer: Cincinnati Children's Hospital Medical Center
 
−
** Location: Cincinnati, Ohio, USA
 
−
** Specialty: Data and Text Mining
 
−
** Deadline: Until filled
 
−
** Date Posted: 7/27/2011
 
−
** Position filled: 10/10/2011
 
−
** Contact Email: imre.solti@cchmc.org
 
−
** Website: https://research.cchmc.org/solti
 
−
<p>Position:
 
−
- Postdoctoral Fellow/Research Associate position in Clinical Informatics at Cincinnati Children's Hospital Medical Center.
 
−
Project:
 
−
- Predictive modeling of patients' clinical outcomes based on the content including narrative notes of the electronic health record.
 
−
- Building stochastic and knowledge based models to predict changes in the patients clinical status and predict prognosis.
 
−
Further information and instructions to apply at: https://research.cchmc.org/solti/open-positions</p>
 
−
 
 
−
== Japanese Computational Linguist == 
 
−
** Employer : Appen Butler Hill
 
−
** Rank or Title : Japanese Computational Linguist
 
−
** Specialty : computational linguistics
 
−
** Location  : Global - consultants may be based anywhere
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 27, 2011
 
−
** Contact email or link to website : http://tbe.taleo.net/NA5/ats/careers/requisition.jsp?org=BUTLERHILL&cws=4&rid=195
 
−
 
 
−
Job Description:  A text analysis team focusing on Information Extraction technologies seeks a Computational Linguist for a nine month contract position to enhance a Japanese language module to process unstructured text. This person will enhance the Japanese language module component in a linguistic foundation application and an entity and fact extraction solution. The focus will be on the creation, maintenance and augmentation of machine-readable dictionaries, grammar rules and parsing algorithms. Effective linguists will know how to use finite-state technology to code grammatical patterns and be able to use a data manipulation language such as Perl or Python.
 
−
 
 
−
Primary Duties:<br>
 
−
-Builds, Tests and Enhances the Japanese language module<br>
 
−
-An in-depth understand of the algorithms<br>
 
−
-Meets product roadmap requirements<br>
 
−
-Participates in formal inspections<br>
 
−
-Contributes to the team with positive ideas in design discussions<br>
 
−
-Provides support, consultation and training to other areas of the company<br>
 
−
<br><br>
 
−
Required Skills:<br>
 
−
-B.A. in Computational Linguistics or equivalent<br>
 
−
-Native or near-native knowledge of written Japanese<br>
 
−
-Fluent in English<br>
 
−
-Strong background in syntax and morphology<br>
 
−
-Proficiency in at least one data manipulation language (Perl preferred)<br>
 
−
-Familiarity with modern quantitative techniques in NLP<br>
 
−
 
 
−
Additional Information:<br>
 
−
Projects require excellent English reading, writing and communication skills. Strong computer skills in a Windows environment and greater than average comfort with software and technology are expected. US residents must have US work authorization (US citizen or permanent resident). Unfortunately, Butler Hill Group cannot sponsor employment visas at this time. You will be required to sign a legally binding non-disclosure agreement at the time of contract negotiation.
 
−
<br><br>
 
−
This is a full-time contract position.
 
−
<br>
 
−
Compensation:<br>
 
−
We offer a competitive, hourly pay rate DOE (to be paid as 1099 self-employment income).
 
−
 
 
−
 
 
−
== Associate Research Engineer, Natural Language Processing == 
 
−
** Employer : ETS (Educational Testing Service)
 
−
** Rank or Title : Associate Research Engineer
 
−
** Specialty : Natural Langauge Processing
 
−
** Location  : Princeton, New Jersey
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 6, 2011
 
−
** Contact email or link to website : http://www.Click2Apply.net/q536shx
 
−
 
 
−
'''ETS (Educational Testing Service)''', with headquarters in '''Princeton, NJ''', is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
 
−
 
 
−
In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.
 
−
 
 
−
Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
 
−
 
 
−
 
 
−
In addition to exceptional verbal/written communication skills, our qualifications include:
 
−
 
 
−
    * Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
 
−
    * A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
 
−
    * Coursework in statistics and experience in using machine learning toolkits are highly desirable
 
−
    * Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
 
−
    * Knowledge of UNIX and Windows computing environments
 
−
    * Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data
 
−
 
 
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
 
−
 
 
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104651&type=&cfcend
 
−
 
 
−
EOE
 
−
 
 
−
 
 
−
== Research Scientist (Natural Language Processing) == 
 
−
** Employer : Language Computer Corporation (LCC)
 
−
** Rank or Title : Research Scientist
 
−
** Specialty : Natural Langauge Processing (or related discipline)
 
−
** Location  : Richardson, Texas
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 2, 2011
 
−
** Contact email or link to website : jobs2011@languagecomputer.com
 
−
 
 
−
Language Computer Corporation (LCC) is a privately-owned company committed to the development of next-generation natural language processing technologies. Since our founding in 1995, we've provided both government and commercial customers with intelligent, semantically-informed search and discovery software. These tools unlock value by actually understanding the information stored in large collections of text. LCC has spun off two semantic technology startups, including Swingly, a Web-scale answer engine, and Extractiv, a high-performance content harvesting service.
 
−
 
 
−
We are currently seeking research scientists for R&D in natural language processing and retrieval. Candidates must possess a Ph.D, significant experience in NLP, effective software development skills, and a track-record of publication.  Successful candidates will work with a team of researchers and engineers to improve existing products as well as develop brand new technologies.
 
−
 
 
−
Requirements:
 
−
** Ph.D in NLP or a related discipline, such as computational linguistics, data mining, or artificial intelligence
 
−
** Strong programming skills on the Java platform
 
−
** Education: BS or MS in Computer Science
 
−
** Knowledge of development under Unix/Linux
 
−
** U.S. Citizenship or Permanent Resident
 
−
** Good communication skills
 
−
** Patience necessary to work in a team environment
 
−
 
 
−
Desirable Qualities:
 
−
** Industry R&D experience
 
−
** Product development experience
 
−
** Database programming/development
 
−
** Other programming languages: Python, Ruby, Scala, Clojure
 
−
** Source code management (e.g. SVN, Git, Mercurial, Bazaar)
 
−
** Web Application experience
 
−
** Multi-threaded / distributed applications
 
−
** Understanding of design concepts such as abstraction, modularization, coupling, and maintainability
 
−
** Unit testing and integration testing
 
−
** Talent for writing time- and memory-sensitive code
 
−
** Agile software development methodologies
 
−
 
 
−
 
 
−
 
 
−
== Research Engineer - Natural Language Processing == 
 
−
 
 
−
** Employer: Ask.com
 
−
** Rank or Title: Research Engineer - Natural Language Processing 
 
−
** Specialty: Computational Linguistics, Natural Language Processing
 
−
** Location: Oakland, CA
 
−
** Deadline: Applications accepted until position is filled
 
−
** Date Posted: April 22, 2011
 
−
** Contact email or link to website: www.ask.com/careers
 
−
 
 
−
About Us
 
−
 
 
−
Join the #1 brand and top Web property focused on answering people’s questions. At Ask.com, we’re building a next-generation Q&A service – spanning both the Web and mobile devices -- that combines the power of search with insight from real users. Our proprietary algorithms crawl the web for question and answer pairs (400 million and growing), fueling one of the biggest Q&A databases on the Web.  This unique technology, combined with answers from real users in our community, makes Ask.com the most comprehensive Q&A service around. At Ask, we empower each individual to succeed, communicate their ideas, and take action. When you work here, you know your contributions will have a direct and immediate impact on the company. We are serious about creating and maintaining a company culture that is both innovative and fun, and we’re looking for great people to come join our team.
 
−
 
 
−
Summary
 
−
 
 
−
Ask.com is looking for a software engineer to join a research-oriented team in the Oakland, CA office.  The research engineer will join a horizontal team supporting the Ask.com core language technologies, which power the search- and database-driven question answering solutions as well as the algorithmic language processing infrastructure for the Q&A community and mobile applications.
 
−
 
 
−
Required:
 
−
** Natural language processing / computational linguistics background.  Ideal: information retrieval and machine learning applications
 
−
** Python and/or Perl, shell scripting, XML. Ideal: some Java and/or C/C++, familiarity with SQL and relational databases
 
−
** Ph.D. in computational linguistics / natural language processing or related areas.
 
−
 
 
−
Skills and Experience:
 
−
** 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
−
** Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
 
−
** In general, experience is desired in web analytics, both in terms of using the web as corpus (including the family of related approaches, techniques, issues) and in terms of search engine query logs analysis / user behavior modeling.
 
−
** Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
−
** Ideal: practical experience with Lucene/Solr, Mahout and the Hadoop ecosystem.
 
−
** Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
−
** Ability to develop prototypes based on proprietary or open source tools.
 
−
** Ability to work in a fast-paced environment and adapt to shifting conditions, priorities, deadlines.
 
−
** The ideal candidate should be able to refer to products and/or research prototypes that they have developed or to which they have contributed, or to their contributions to sites like StackOverflow.
 
−
 
 
−
Location:  Downtown Oakland (near 12th St. BART Station)
 
−
 
 
−
Apply at: www.ask.com/careers
 
−
 
 
−
 
 
−
 
 
−
== Natural Language Generation Expert ==
 
−
** Employer: Stripes39 (a domain specific content management startup)
 
−
** Rank or Title: Lead developer / architect
 
−
** Specialty: Natural Language Generation
 
−
** Location: Seattle, WA (downtown)
 
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: April 21, 2011
 
−
** Start Date: as soon as possible
 
−
** Duration: indefinite
 
−
 
 
−
Stripes39 is a well-funded Seattle startup with an NLG engine as a part of its core technology. The position will entail leading a team of computational linguists, architecting the NLG system, designing and managing the ontology, and testing of the NLG system output.
 
−
 
 
−
** education:  Ph.D. (preferred) or M.S./M.A. with strong leadership record
 
−
** experience with NLG system design and testing (required)
 
−
** knowledge of recent NLP tools and techniques (required)
 
−
** large system development skills essential, including experience with Python and Java
 
−
 
 
−
Send email with resume to
 
−
    Scott Farrar (farrar@uw.edu)
 
−
and
 
−
    Parmeshta Jain (parmeshtajain@stripes39.com)
 
−
 
 
−
Please indicate in your cover letter your specific qualifications with NLG.
 
−
 
 
−
 
 
−
== Postdoctoral Researcher, Natural Language Processing (information extraction) ==
 
−
** Employer:  New York University
 
−
** Rank or Title:  Post-doctoral researcher
 
−
** Specialty: Natural Language Processing (information extraction)
 
−
** Location:  New York, NY
 
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: March 24, 2011
 
−
** Start Date: September 1, 2011
 
−
** Duration: 1 year, renewable
 
−
 
 
−
The Proteus Project (New York University Dept. of Computer Science) anticipates an opening for a computational linguist to conduct and support its research in information extraction, including in particular the analysis of trends in large collections of scientific articles and patents.
 
−
 
 
−
** education:  Ph.D. (preferred) or M.S. with strong research record
 
−
** strong publication record
 
−
** experience with NLP tools for English required
 
−
** experience with NLP tools for German and/or Chinese a plus
 
−
** experience with citation analysis, sentiment analysis, terminology extraction a plus
 
−
** large system development skills essential, including experience with Unix and Java
 
−
** target start date 1 September 2011, with some flexibility for an earlier or later start
 
−
 
 
−
Send email with c.v. and links to publications to
 
−
    Prof. Ralph Grishman (grishman@cs.nyu.edu)
 
−
and
 
−
    Prof. Adam Meyers (meyers@cs.nyu.edu)
 
−
 
 
−
Indicate in your response your specific qualifications which match the requirements listed above.
 
−
 
 
−
 
 
−
 
 
−
== Postdoctoral Researcher, Semantic Parsing ==
 
−
** Employer: CCLS, Columbia University
 
−
** Specialty: Semantic parsing, parsing, German NLP
 
−
** Location: New York, NY
 
−
** Deadline: Applications accepted until the position is filled.
 
−
** Date Posted: March 16, 2011
 
−
 
 
−
Position available: Postdoc in Natural Language Processing (Semantic Parsing)
 
−
 
 
−
Start Date: September 1, 2011 (possibly earlier)
 
−
 
 
−
Duration: 1 year, renewable for a second year
 
−
 
 
−
Description: the postdoc will work in the context of a large, multi-site project which aims at predicting the emergence of technical trends from scientific literature in English, German, and Chinese.  The specific issues the postdoc will work on revolve around natural language processing (NLP) tasks, in particular semantic parsing, and detecting degree of commitment.  The postdoc will also be involved in issues of system integration, working with a full-time programmer.
 
−
 
 
−
Required background:
 
−
 
 
−
* Ph.D. in hand in computer science, linguistics, or related discipline.  (Note: in exceptional circumstances, a candidate with only a masters degree could be considered as a "pre-doc".)
 
−
* Programming skills.
 
−
* Ability to work in a group.
 
−
 
 
−
 
 
−
Desired background:
 
−
 
 
−
* Knowledge of German, German linguistics, and/or German NLP.
 
−
* Acquaintance with FrameNet.
 
−
* Knowledge of parsing.
 
−
* Knowledge of machine learning techniques.
 
−
 
 
−
 
 
−
Location: Center for Computational Learning Systems, Columbia University, New York City
 
−
 
 
−
If interested, please mail to Owen Rambow, rambow@ccls.columbia.edu, a CV along with a short note explaining how you meet each of the required and desired background elements above.  (A bulleted list would be fine, with a sentence per background element.)
 
−
 
 
−
 
 
−
 
 
−
 
 
−
== Senior Research Scientist, Natural Language Processing ==
 
−
** Employer: ETS (Educational Testing Service)
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey, 08540
 
−
<p><strong>ETS (Educational Testing Service</strong>), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.</p><p>Our qualifications include:</p> <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. <strong>Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend</strong></p> <p>EOE</p><P>[http://www.Click2Apply.net/dm5y53s Apply Here]
 
−
 
 
−
 
 
−
== Text Mining and Natural Language Processing Specialists for eBay ==
 
−
** Employer: eBay
 
−
** Rank: Applied Researcher
 
−
** Speciality: Information Retrieval & Text Mining / NLP
 
−
** Location: San Jose, CA, USA
 
−
** Deadline: Until filled
 
−
** Date Posted: 2/25/2011
 
−
** Contact email: smohan@ebay.com
 
−
eBay is looking for experts in web-scale Information Retrieval and Text Mining / Natural Language Processing to join the Search Science team.
 
−
 
 
−
Bring your ideas, energy, and dedication to improve search experience on eBay.  The world class search engine at the heart of eBay serves more than 350 million queries every day.  The Search Science team is passionate about building the query services and relevance factors that will match our users’ needs to the products in the world's largest online marketplace, and we are looking for top-notch applied researchers.
 
−
 
 
−
 
 
−
'''QUALIFICATIONS'''
 
−
 
 
−
·        Ph.D. in Computer Science or related field plus 4 years of relevant software industry R&D experience required.
 
−
 
 
−
·        Expertise in Information Retrieval and Nature Language Processing.
 
−
 
 
−
·        Strong statistical and machine learning background.
 
−
 
 
−
·        Experience and proficiency in Java and/or C++, Perl or similar scripting languages, and distributed processing of documents and web logs using Hadoop.
 
−
 
 
−
·        Track record of deploying cutting edge technology in an industrial setting.
 
−
 
 
−
'''JOB REQUIREMENTS'''
 
−
 
 
−
·        Use your knowledge, skills, and passion for improving search to find opportunities in eBay's log data and search results.
 
−
 
 
−
·        Use deep domain expertise to individually drive innovative ideas.
 
−
 
 
−
·        Participate in brainstorming and discovery exercises to determine new ideas.
 
−
 
 
−
·        Build experimental frameworks and gather data from across the company to support your work.
 
−
 
 
−
·        Conduct experiments, write prototypes, write specifications, and optionally write production code to deploy new features and methods that improve search quality.
 
−
 
 
−
·        Lead projects and collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to search.
 
−
 
 
−
·        Provide technical leadership and mentoring to other team members.
 
−
 
 
−
·        Lead and contribute to multiple small team projects.
 
−
 
 
−
·        Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working in search. Communicate to technical and nontechnical audiences inside and outside the search team.
 
−
 
 
−
·        Participate in meetings with other eBay groups to document best practices and facilitate a knowledge base.
 
−
 
 
 
   
 
   
 +
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
  
−
== Freelance British English, Japanese, and Mexican Spanish computational linguists==
+
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.  
−
** Employer: The Lingua Team
 
−
** Rank: Freelance contractor
 
−
** Speciality: Speech & Natural Language Processing
 
−
** Location: Seattle, WA (work can be done remotely)
 
−
** Deadline: 5/1/2011
 
−
** Date Posted: 2/12/2011
 
−
** Contact email: http://www.thelinguateam.com
 
−
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.
 
−
 
 
−
 
 
−
== French computational linguist==
 
−
** Employer: The Lingua Team
 
−
** Rank: Language support contractor
 
−
** Speciality: Speech recognition
 
−
** Location: Seattle, WA (work can be done remotely)
 
−
** Deadline: 03/04/2011
 
−
** Date Posted: 12/28/2010
 
−
** Contact email: http://www.thelinguateam.com
 
−
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.
 
−
 
 
−
 
 
−
== Senior Research Assistant, Natural Language Processing ==
 
−
** Employer: ETS (Educational Testing Service)
 
−
** Speciality: Research
 
−
** Location: Princeton, New Jersey 08540
 
−
** Date Posted: 02/21/2011
 
−
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend
 
−
 
 
−
 
 
−
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p>
 
−
 
 
−
 
 
−
 
 
−
<b>Job Description:</b>
 
−
 
 
−
Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.</p>
 
−
 
 
−
 
 
−
<b>Basic Functions and Responsibilities:</b>
 
−
 
 
−
Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.
 
−
 
 
−
<ul>
 
−
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.
 
−
 
 
−
<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.
 
  
−
<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.
+
This research will be part of the FLEXILOG project, which is funded by the European Research Council (ERC)
  
−
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.
+
'''Essential criteria'''
  
−
<li>Contribute to formal reports and proposals (or sections thereof).
+
* 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.
  
−
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.
+
'''Background about the university'''
  
−
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.
+
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.  
  
−
<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.
+
'''Background about the project'''
  
−
<li>Select and train field staff; instruct support staff.
+
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.  
  
−
<li>Arrange and attend meetings with clients, committees, and consultants.
+
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.
  
−
<li>Meet with clients to plan or interpret guidelines, as assigned.
+
'''More information'''
−
</ul>
 
  
 +
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.
  
−
<b>Required Experience:</b>
+
==  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
  
−
<p>EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.</p>
+
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.
  
−
<p>EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.
+
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.
−
</p>
 
  
 +
'''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'''
  
−
== Associate Research Engineer, Natural Language Processing ==
+
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”.
−
** Employer: ETS (Educational Testing Service)
 
−
** Speciality: Research
 
−
** Location: Princeton, New Jersey 08540
 
−
** Date Posted: 01/07/2011
 
−
** Link to website: http://www.Click2Apply.net/xymwg8p
 
  
−
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.</p> <p>Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.</p><p>In addition to exceptional verbal/written communication skills, our qualifications include:</p> <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend]</p> <p>EOE</p><p>[http://www.Click2Apply.net/xymwg8p Apply Here]
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Informal enquiries: Prof. Sophia Ananiadou (Sophia.ananiadou@manchester.ac.uk).  
  
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== Associate Research Scientist, Speech ==
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Deadline of applications: 13/03/2017
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** ETS (Educational Testing Service)
 
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** Research
 
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** Princeton, New Jersey, United States, 08540
 
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** 02/06/2011
 
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** 01/07/2011
 
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** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
 
  
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<strong>ETS (Educational Testing Service),</strong> with headquarters in Princeton, NJ, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. <br /><br />You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.</p><p>Our requirements include:</p> <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: </p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend]</p> <p>EOE</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]
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Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12975

Revision as of 06:41, 3 May 2017

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

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