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

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** Employer
 
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** Deadline
 
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** Date Posted
 
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** Contact email or link to website
 
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2010]]
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** [[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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==PhD-level Researchers in Language Technology or Computational Linguistics==
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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* Title: PhD-level Researchers in Language Technology or Computational Linguistics
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* Topics: Natural Language Processing, Summarization, Opinion Mining
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* Location: Darmstadt (Germany)
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* Deadline: open until the position is filled
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* Date Posted: March 4, 2015
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* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
  
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== [[File:euroscript-logo.jpg]]LINGUISTIC SOLUTIONS ARCHITECT (M/F) ==
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'''Job Description'''
  
 +
The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
  
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* Employer: euroscript Luxembourg S.à r.l.
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PhD-level Researchers in Language Technology or Computational Linguistics
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* Location: Bertrange, Luxembourg or Berlin, Germany
 
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* Deadline: applications accepted until position is filled
 
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* Website: http://www.euroscript.com
 
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* Date posted: 31/10/2011
 
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* Start date: ASAP
 
  
 +
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
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'''Your role:'''
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* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
 +
* B1: Structured summaries of complex contents (TU Darmstadt)
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* B2: Content selection based on linked lexical resources (TU Darmstadt)
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* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
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* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 +
The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.
  
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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 goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.  
  
 +
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.
  
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'''Your responsibilities:'''
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AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
  
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** Design, implementation and maintenance of components for euroscript’s internal machine translation services;
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'''Requirements'''
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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
 
  
 +
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.
  
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'''Your profile:'''
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The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.
  
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[[Required:]]
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Applications should include
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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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* a motivational letter that refers to one of the above listed guiding themes,
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** Practical experience with open source statistical machine translation systems (e.g. Moses);
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* a CV with information about the applicant’s scientific work,
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** Programming experience with Python;
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* certifications of study and work experience,
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** Familiarity with further EU languages (preferably French, Dutch or German);
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* as well as a thesis or other publications in electronic form.
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** Experience in the translation environment and with CAT-Tools
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They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
  
  
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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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==Research staff position in Natural Language Processing==
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* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
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* Title: Research staff position in Natural Language Processing
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* Topics: Natural Language Processing, Question Answering
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* Location: Darmstadt (Germany)
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* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
 +
'''Job Description'''
  
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'''About us:'''
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The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.  
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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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The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
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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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'''Requirements'''
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** Employer: ComplaintLink
 
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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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We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
  
 +
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
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== Assistant Professor Position at Graduate School of Information Science, NAIST, Japan ==
 
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* Employer: Graduate School of Information Science, Nara Institute of Science and Technology
 
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* Rank or Title: Assistant Professor (5 years + 3 year extension)
 
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* Specialty: Natural Language Processing, Machine Learning, Text Mining
 
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* Location: Nara, Japan
 
−
* Deadline: 11th November, 2011
 
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* Date Posted: 12th October, 2011
 
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* Contact email: (for informal enquiries) matsu@is.naist.jp
 
−
* Website: http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/20111006index.html
 
  
 +
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
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== NLP: Two Research Scientist positions: 1) NLG and 2) Computational Semantics ==
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'''Job Description'''
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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
 
−
* Website: http://www.RodneyNielsen.com
 
  
 +
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
  
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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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Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
  
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Project Description
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'''Requirements'''
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---------------
 
  
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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.
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
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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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The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
  
 +
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
  
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Natural Language Generation (NLG) Position
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Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
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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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Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
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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 Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.  
  
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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.
+
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
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Qualifications
 
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
+
==Internship position available in Natural Language Processing at Adobe Research==
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* Rigorous experience and skills in NLG, preferably in conversational SDS, as evidenced by a publication record
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* Employer: Adobe Systems Incorporated
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* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
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* Title: NLP Scientist Intern
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* Excellent software design and implementation skills
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* Natural Language Processing, Machine Learning, Dialog Systems.
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* Good verbal communication and English writing skills
+
* Location: San Jose, CA
−
* The ability to work both independently and in a multidisciplinary team
+
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
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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
+
'''Description''':
 +
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.
  
 +
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java and/or Python
  
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Computational Semantics Position
+
'''Education'''
−
---------------
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M.S. or PhD student in Computer Science or related field
  
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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.
+
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
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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.
+
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
This position is available immediately and is initially for one year, with the possibility of extension based on performance.
+
'''Job Description'''
  
−
Qualifications
+
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
+
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
−
* Rigorous experience and skills in computational semantics, preferably in the context of conversational SDS, as evidenced by a strong publication record
 
−
* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
−
* Excellent software design and implementation skills
 
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* Good verbal communication and English writing skills
 
−
* The ability to work both independently and in a multidisciplinary team
 
  
−
* 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
+
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
  
 +
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
  
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The Center for Computational Language and Education Research (CLEAR)
+
'''Required'''
−
---------------
 
  
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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.
+
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
  
 +
'''Desired'''
  
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Boulder, Colorado
+
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
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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.
+
For more information see the application link above.
  
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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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== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
 +
*Employer: Macquarie Group
 +
*Title: Software Engineer/NLG Specialist
 +
*Specialties: Natural Language Generation, Application Development, Linguistics
 +
*Location: Sydney, Australia
 +
*Date posted: 29 January 2015
 +
*Contact information: andy.logan@macquarie.com
 +
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
  
−
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.
+
'''Job Description'''
 +
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
 +
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
  
 +
'''About the role'''
  
−
Application
+
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.
−
---------------
 
  
−
Please email questions about these positions to the Companionbot’s Principal Investigator:
+
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
  
−
Rodney.Nielsen@colorado.edu
+
'''About You'''
  
−
Rodney Nielsen, Ph.D.
+
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
−
Research Scientist
 
−
Computational Language and Education Research Center
 
−
Institute of Cognitive Science
 
−
University of Colorado, Boulder
 
  
 +
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
  
−
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.
+
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
  
−
Natural Language Generation:
+
If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
−
http://www.jobsatcu.com/applicants/Central?quickFind=66322
 
  
−
Natural Language Understanding:
+
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
−
http://www.jobsatcu.com/applicants/Central?quickFind=66325
+
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
  
 +
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
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.
+
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
  
−
The University of Colorado at Boulder conducts background checks on all final applicants being considered for employment.  
+
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
  
 +
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
  
−
== Four positions in folktale analysis, classification and clustering ==
+
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.
  
−
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.
+
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
  
−
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:
+
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
−
http://www.meertens.knaw.nl/cms/nl/vacatures-othermenu-334/143642-phd-student-computational-linguistics
 
  
−
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:
 
−
http://www.utwente.nl/vacatures/?VacatureID=169016
 
  
−
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:
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
−
http://www.utwente.nl/vacatures/?VacatureID=169024
+
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
−
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:
+
'''Job Description'''
−
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
+
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.  
  
−
The closing date for applications is 15 October 2011.
+
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
  
 +
'''Essential criteria'''
  
−
== Senior Research Positions (Machine Translation) at the CNGL, Dublin City University ==
+
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
−
* Employer: CNGL, Dublin City University
+
*Excellent programming skills (java or C/C++).  
−
* Rank or Title: Professor / Assoc. Professor (5 years, first 2 years research exclusively), Senior Research Fellow / Research Fellow (3 years)
+
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).  
−
* Specialty: Machine Translation, NLP, Computational Linguistics
+
*Proven ability to communicate specialist ideas clearly in English using written media.
−
* Location: Dublin, Ireland
+
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.  
−
* Deadline: 3rd October (Senior Research Fellow / Research Fellow); 7th October (Professor / Assoc. Professor)
+
*A PhD in Computer Science or closely related area, or equivalent experience.
−
* Date Posted: 20th September 2011
 
−
* Contact email: (for informal enquiries) josef@computing.dcu.ie, psheridan@computing.dcu.ie
 
−
* Website: http://www.cngl.ie
 
  
 +
'''Desirable criteria'''
  
−
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).
+
*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
 +
*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
  
−
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.
+
'''More information'''
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
  
−
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.
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
−
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.
+
'''Job Description'''
−
 
−
We are interested in hearing from a wide range of applicants from a variety of backgrounds, focused around MT and related technologies.
 
  
−
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 Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.  
  
−
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.
+
'''Position Summary'''
  
 +
AI2 currently has projects in the following areas:
 +
*Language and Vision
 +
*Information extraction and semantic parsing
 +
*Question answering
 +
*Language and reasoning
 +
*Machine learning and theory formation
 +
*Semantic search
 +
*Diagram understanding
  
−
For more details please see the full job specifications at:
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
  
−
http://www.cngl.ie/drupal/sites/default/files/AP_Prof_in_Machine_Translation.pdf
+
'''Applicant'''
  
−
http://www.cngl.ie/drupal/sites/default/files/Senior_Research_Fellow_MT.pdf
+
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.
  
 +
'''Application Process'''
  
−
'''Indicative Salary (subject to experience and qualifications)''':
+
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
−
 
 
−
**Professor:   €113,064 - €145,952
 
−
**Assoc. Professor:  €82,974 - €110,062
 
  
−
**Senior Research Fellow:   €63,125 - €68,817
+
==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)==
−
**Research Fellow:   €42,394 - €56,442
+
* Employer: Apple Inc.
−
 
+
* Title: Language Understanding / Dialog Scientist
−
 
+
* Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
−
'''For informal enquiries please contact''':
+
* Location: Cupertino, CA
−
 
+
* Deadline: rolling
−
Centre Director
+
* Date Posted: December 2, 2014
 +
* Thomas Kollar: tkollar@apple.com
  
−
Prof. Josef Van Genabith, CNGL, DCU
+
'''Description''':
 +
Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence.  And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
  
−
Phone: 353 (0)1 7006700
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
 +
*Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
 +
*Exceptional analytical, troubleshooting and problem solving skills
 +
*Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
 +
*Strong software engineering skills
 +
*Experience working with multilingual datasets
 +
*Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
  
−
E-mail: josef@computing.dcu.ie
+
'''Description'''
−
 
+
You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
  
−
Associate Director
+
'''Education'''
 +
M.S. or PhD in Computer Science or related field
  
−
Dr. Páraic Sheridan, CNGL, DCU
+
'''Additional Requirements'''
 +
2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
  
−
Phone: 353 (0)1 7006707
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
−
E-mail: psheridan@computing.dcu.ie
+
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
−
 
 
  
−
'''To Apply''':
+
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
  
−
Application forms are available from http://www.dcu.ie/vacancies/APPLICATION_FORM_8pg.doc
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
−
Email the completed application form, together with your CV, to: hr.applications@dcu.ie
+
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
  
 +
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
  
 +
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
== NLP and text-mining researchers for a NLP centre of excellence at eBay-Research ==
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
−
* 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.
 
−
 
 
−
 
−
 
 
−
 
 
−
== Freelance British English, Japanese, and Mexican Spanish computational linguists==
 
−
** 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.
 
−
 
 
−
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.
 
−
 
 
−
<li>Contribute to formal reports and proposals (or sections thereof).
 
−
 
 
−
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.
 
−
 
 
−
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.
 
−
 
 
−
<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.
 
−
 
 
−
<li>Select and train field staff; instruct support staff.
 
−
 
 
−
<li>Arrange and attend meetings with clients, committees, and consultants.
 
−
 
 
−
<li>Meet with clients to plan or interpret guidelines, as assigned.
 
−
</ul>
 
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<b>Required Experience:</b>
 
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<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>
 
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<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.
 
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</p>
 
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== Associate Research Engineer, Natural Language Processing ==
 
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** Employer: ETS (Educational Testing Service)
 
−
** Speciality: Research
 
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** Location: Princeton, New Jersey 08540
 
−
** Date Posted: 01/07/2011
 
−
** Link to website: http://www.Click2Apply.net/xymwg8p
 
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<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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== Associate Research Scientist, Speech ==
 
−
** ETS (Educational Testing Service)
 
−
** Research
 
−
** Princeton, New Jersey, United States, 08540
 
−
** 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
 
−
 
 
−
<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]
 

Revision as of 03:33, 4 March 2015

PhD-level Researchers in Language Technology or Computational Linguistics

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

Job Description

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

PhD-level Researchers in Language Technology or Computational Linguistics

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

  • A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
  • B1: Structured summaries of complex contents (TU Darmstadt)
  • B2: Content selection based on linked lexical resources (TU Darmstadt)
  • D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
  • D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)

The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

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

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

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

Requirements

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include

  • a motivational letter that refers to one of the above listed guiding themes,
  • a CV with information about the applicant’s scientific work,
  • certifications of study and work experience,
  • as well as a thesis or other publications in electronic form.

They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.


Research staff position in Natural Language Processing

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

Job Description

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

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

Requirements

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

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


PhD-position in NLP/Text Mining

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

Job Description

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

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

Requirements

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

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

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

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

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

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

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


Internship position available in Natural Language Processing at Adobe Research

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

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

Key Qualifications

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

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

Additional Requirements No.

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

Job Description

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

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

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

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

Required

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

Desired

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

For more information see the application link above.

Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation

Job Description

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

About the role

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

Key Responsibilities

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

About You

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

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

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

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

PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)

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

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

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

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

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

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

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

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


Postdoc position in Cardiff (NLP, IR, machine learning)

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

Job Description

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

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

Essential criteria

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
  • Excellent programming skills (java or C/C++).
  • A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
  • Proven ability to communicate specialist ideas clearly in English using written media.
  • Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
  • A PhD in Computer Science or closely related area, or equivalent experience.

Desirable criteria

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

More information For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

Job Description

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

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Diagram understanding

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

Applicant

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

Application Process

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

Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)

  • Employer: Apple Inc.
  • Title: Language Understanding / Dialog Scientist
  • Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
  • Location: Cupertino, CA
  • Deadline: rolling
  • Date Posted: December 2, 2014
  • Thomas Kollar: tkollar@apple.com

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

Key Qualifications

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

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

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

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

Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering

  • Employer: The Ohio State University
  • Title: Assistant/Associate/Full Professor
  • Specialty: open, two positions in Data Analytics
  • Location: Columbus, OH, USA
  • Deadline: January 31, 2015 (Consideration starts November 2014)
  • Date Posted: November 17, 2014
  • Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

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

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

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

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

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

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

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

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