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

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* Please post your job ad below, by clicking on the '''edit''' tab above.
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* '''[[Instructions for Posting Job Ads]]'''
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* Jobs are listed in chronological order of posting: '''first is newest, last is oldest'''.
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* See also the [http://linguistlist.org/jobs Linguist Job List].
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* '''Please remove your posting when the position is filled.'''
 
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* Please include the following information:
 
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** Employer
 
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** Rank or Title
 
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** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
 
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** Location
 
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** Deadline
 
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** Date Posted
 
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** Contact email or link to website
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 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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== Executive Director at University of Maryland ==
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== One PHD / POSTDOC position in Text Analysis at the University of Mannheim ==
 +
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
 +
* Title: PhD or Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing
 +
* Location: Mannheim, Germany
 +
* Deadline: September 15, 2015
 +
* Date Posted: August 20, 2015
 +
* Contact: sfb884@informatik.uni-mannheim.de
  
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** Employer: University of Maryland, Center for Advanced Study of Language (CASL)
+
The researcher is expected to contribute to the C4 project on “Measuring a common space and the dynamics of reform positions” within the DFG-funded Collaborative Research Centre (SFB) 884 “Political Economy of Reforms” (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.
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** Title:  Executive Director
 
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** Location:  College Park, MD
 
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** Deadline:  Open until filled
 
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** Date Posted:  July 2, 2012
 
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** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
 
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** Contact email:  tswallst@umd.edu
 
  
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The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.
+
We are particularly interested in candidates with a background in one or several of the following areas:
  
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'''DUTIES:'''  The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units. 
+
* statistical semantics and discourse processing
 +
* machine learning and natural language processing
 +
* discourse analysis
 +
* automated text-based scaling
  
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'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
+
Applicants should have a Masters degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.  
  
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'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''  
+
'''Duration:''' initially one year (starting in Fall 2015) with possible extension to 3-5 years.
 +
'''Salary range:''' according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).
  
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'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link:  http://www. jobs.umd.edu/applicants/Central?quickFind=57086)  by Monday, August 20, 2012. Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
+
Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before '''September, 15 2015''' will receive full consideration. The positions remain open until filled.
  
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The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes:  health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.  
+
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
  
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== Several Positions in Data2Text (Natural Language Generation) ==
+
Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.
  
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* Employer: Data2Text
 
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* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
 
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* Specialty: natural language generation, analytics
 
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* Location: Aberdeen, Scotland, UK
 
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* Deadline: 29 June 2012
 
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* Date posted: 8 June 2012
 
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* Link to website: http://www.data2text.com/careers
 
  
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Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
 
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research group.  We are looking to hire several people; please see our website for details
 
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http://www.data2text.com/careers
 
  
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This is a great opportunity for people who are keen on getting NLG technology
 
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out into the real world.  In addition to the advertised positions, we're happy to talk
 
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to people who are knowledgeable about NLG and keen to develop commercial applications,
 
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but whose profiles do not fit the advertised positions.
 
  
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Information inquiries (from the ACL community) should be sent to Ehud Reiter
 
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(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
 
  
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== Research Fellowship at University of Aberdeen ==
+
== Postdoctoral Fellow in NLP for EEG Analysis at Temple University ==
 +
* Employer: The Neural Engineering Data Consortium, College of Engineering, Temple University
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing, Machine Learning, Big Data, EEG Analysis
 +
* Location: Philadelphia, PA
 +
* Deadline: Open until filled
 +
* Date Posted: August 12, 2015
 +
* Contact: Joseph Picone (joseph.picone@gmail.com)
 +
 
 +
'''Research focus''': The Neural Engineering Data Consortium (NEDC) at Temple University invites applications for a Postdoctoral Fellow position in the area of automated EEG analysis. The Postdoctoral Fellow will contribute to a project that enables comparative research by automatically uncovering clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 14 years at Temple University Hospital (see www.isip.piconepress.com/projects/tuh_eeg for more information). We are developing a proof-of-concept based on the discovery of patient cohorts and provide an annotated BigData archive as well as the software that enabled the annotations and the generation of the patient cohort retrieval system. The candidate will be involved in overseeing the generation of labeled data for machine learning training, developing algorithms to automatically uncover and model structure based on deep
 +
learning principles, implementing an active learning approach that minimizes the amount of labeled data needed and supervising research to automatically extract medical concepts from EEG reports. A large portion of the project focuses in extraction of information from unstructured text, and hence, expertise in natural language processing is important.
 +
 
 +
'''Supervisor''': Iyad Obeid, PhD and Joseph Picone, PhD
 +
 
 +
'''Required skills''': The candidate’s primary expertise will be in natural language processing and/or computational linguistics. Proficiency in machine learning and big data techniques is highly desirable. Software engineering experience is also desired.
 +
 
 +
'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.
 +
 
 +
'''Length of appointment''': This position is for three years.
 +
 
 +
'''Available''': October 1, 2015.
 +
 
 +
'''Compensation''': $42,000/year (NIH standard scale applies).
 +
 
 +
'''To apply''': Send a CV and cover letter to joseph.picone@gmail.com (see http://www.isip.piconepress.com/images/memorabilia/temple/20150811_postdoc/postdoc_announcement_v00.pdf for more details)
 +
 
 +
 
 +
== Postdoctoral Fellow in Sentiment Analysis at McMaster University ==
 +
* Employer: Department of Linguistics, Department of Computing and Software, McMaster University
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Sentiment Analysis, Natural Language Processing
 +
* Location: Hamilton, ON, Canada
 +
* Deadline: Open until filled
 +
* Date Posted: July 24, 2015
 +
* Contact: Victor Kuperman (vickup@mcmaster.ca)
 +
 
 +
'''Research focus''': Successful applicants will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.
 +
 
 +
'''Supervisor''': Victor Kuperman, PhD, Fei Chiang, PhD
 +
 
 +
'''Required skills''': The candidate’s primary expertise will be in natural language processing, sentiment analysis, and/or computational linguistics. Proficiency in machine learning techniques is highly desirable.
  
−
* Employer: University of Aberdeen
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'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.  
−
* Job Title: Research Fellow in Computational Linguistics
 
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* Location: Aberdeen, UK
 
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* Deadline: 28th June 2012
 
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* Date Posted: 22-May-2012
 
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* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", enter "Computational Linguist" under Search Vacancy Title and click "search"]
 
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* Contact email: c.mellish@abdn.ac.uk
 
  
−
Research at Aberdeen is seeking to build a dialogue system allowing a person who is building a semantic web ontology to ask ‘what if …?’ questions about possible additions and changes to the ontology and get meaningful answers. This involves automated reasoning about what the consequences of a change in the ontology would be and intelligent presentation of the results. Because in general there will be infinitely many new logical consequences, the system will have to understand something about what the person is trying to do and what sorts of results will be most interesting to them. It is assumed that this information can best be provided by the person in the context of a natural dialogue system.
+
'''Length of appointment''': This position is for two years.
  
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We are seeking a Computational Linguist to lead the theoretical and practical design and development of the dialogue system (other researchers will be investigating issues of efficient reasoning and issues of how to model the process of ontology authoring). The dialogue system is expected to use structured input (including an approach to specifying complex content based on “editing” natural text (see paper by Power in European Workshop on Natural Language Generation 2009) rather than free natural language text or speech, but nevertheless is required to be natural and to select and present information coherently.
+
'''Available''': August 1st, 2015.
  
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You should have, or be about to acquire, a PhD in Computer Science/ Artificial Intelligence/ Computational Linguistics, with experience of natural language processing research at the postgraduate level and experience of implementing software for users. Research interests in conversational implicature/ relevance, logics and reasoning, dialogue moves and structures, the semantic web and requirements elicitation/ evaluation with users would all be advantageous but are not essential.  
+
'''Compensation''': $50,000/year.
  
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== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
'''To apply''': see application procedure at http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
  
−
* Employer: Educational Testing Service (www.ets.org)
 
−
* Job Title: Associate Research Scientist (SPEECH)
 
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* Location: Princeton, NJ
 
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* Deadline: Open until filled
 
−
* Date Posted: 16-May-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
 
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* Contact email: dyanchuk@ets.org
 
  
−
'''JOB DESCRIPTION'''
 
  
−
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
== Postdoctoral Fellow in Natural Language Processing at Brigham and Women's Hospital / Harvard Medical School ==
 +
* Employer: Brigham and Women's Hospital / Harvard Medical School
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing
 +
* Location: Boston, MA
 +
* Deadline: Open until filled
 +
* Date Posted: July 11, 2015
 +
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
  
 +
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
  
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'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
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'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
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* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
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'''Required skills''': strong programming and system development skills; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills. Experience in programming in Perl and .NET and experience with natural language processing and medical terminologies / ontologies is a strong plus.
−
+
 
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* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
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'''Education''': PhD in computer science, biomedical informatics, linguistics, or related discipline, MD or an equivalent degree.
 +
 
 +
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
 +
 
 +
'''Available''': August 1st, 2015.
  
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* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
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'''Compensation''': according to NIH (NRSA) stipend levels.
  
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* Develop and oversee the conduct of selected portions of research proposals and project budgets.
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'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.  
  
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* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
 
  
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* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
== Data Scientist - Unstructured Data at Civis Analytics ==
 +
* Employer: [https://civisanalytics.com Civis Analytics]
 +
* Title: Data Scientist - Unstructured Data
 +
* Topics: Natural Language Processing,  Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
 +
* Location: Chicago, IL
 +
* Deadline: Open until filled
 +
* Date Posted: June 23, 2015
 +
* Apply Online: [https://civisanalytics.com/careers civisanalytics.com/careers]
 +
* Questions: apply@civisanalytics.com
  
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* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
 
  
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* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
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'''Who We Are'''
  
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Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.
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'''EXPERIENCE AND SKILLS'''
 
  
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EDUCATION
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While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.
  
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Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
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We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.
  
 +
Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.
  
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EXPERIENCE
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'''Why should you join our team?'''
  
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Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
+
We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.
  
 +
We are ''smart'', ''fun'', and ''a little bit weird''. ''Does this sound like you?''
  
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+
'''Position Overview'''
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'''APPLYING'''  
 
  
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Interested parties can apply for the position through the following website:
+
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.
  
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http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
  
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If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
  
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== Associate Research Scientist (NLP) at Educational Testing Service ==
+
'''Requirements'''
  
−
* Employer: Educational Testing Service (www.ets.org)
+
'''MINIMUM QUALIFICATIONS'''
−
* Job Title: Associate Research Scientist (NLP)
 
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* Location: Princeton, NJ
 
−
* Deadline: Open until filled
 
−
* Date Posted: 16-May-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
 
−
* Contact email: dyanchuk@ets.org
 
  
−
'''JOB DESCRIPTION'''
+
* Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
  
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ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
'''PREFERRED QUALIFICATIONS'''
−
 
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
  
−
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.
+
* Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  
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* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.
+
'''How to Apply'''
  
−
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
Apply online at: [https://civisanalytics.com/careers civisanalytics.com/careers]
  
−
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
== Postdoctoral Fellow in NLP at University of Pennsylvania ==
 +
* Employer: Dept. of Computer and Information Science, University of Pennsylvania
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing, Unsupervised Learning
 +
* Location: Philadelphia, PA
 +
* Deadline: Open until filled
 +
* Date Posted: June 19, 2015
 +
* Contact: Mitch Marcus (mitch@cis.upenn.edu)
  
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* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
'''Job Description'''
  
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* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania.  This is a full time position for 24 months, starting immediately.
  
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* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora.  The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.  
  
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* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.
  
−
+
'''Requirements'''
−
'''EXPERIENCE AND SKILLS'''
 
  
−
EDUCATION
+
The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record.  Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required. 
  
−
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
'''How to Apply'''
−
 
−
EXPERIENCE
 
−
 
−
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.
 
  
−
+
Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.
−
'''APPLYING'''
 
  
−
Interested parties can apply for the position through the following website:
 
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
+
== Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition ==
 +
* Employer: University of Liverpool
 +
* Title: Post-doctoral fellow
 +
* Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
 +
* Deadline: 28th August 2015
 +
* Date Posted: 2nd June 2015
 +
* Apply: http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/
  
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''Job Description'''
  
−
== Associate Research Engineer at Educational Testing Service ==
+
We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.
  
−
* Employer: Educational Testing Service (www.ets.org)
+
You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.
−
* Job Title: Associate Research Engineer
 
−
* Location: Princeton, NJ
 
−
* Deadline: Open until filled
 
−
* Date Posted: 15-May-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
 
−
* Contact email: dyanchuk@ets.org
 
  
−
'''JOB DESCRIPTION'''
+
The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms.  The research topics and approaches are open to negotiation.  Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.
  
−
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.
  
−
+
More information is available here:
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
https://sites.google.com/site/sentenceproductionmodel/news
−
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.  
 
  
−
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
 +
* Employer: UMass Medical School Worcester
 +
* Title: Post-doctoral fellow or Software Engineer
 +
* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
 +
* Deadline: until filled
 +
* Date Posted: 24 May 2015
 +
* apply by contacting elaine.freund@umassmed.edu
  
−
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
+
'''Job Description'''
  
−
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics.  The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.  
  
−
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.  
  
−
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.  
  
−
* Implement components of technical documentation of NLP software systems, solutions and results.
+
General Summary of Software Engineer Position:
 +
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.  
  
−
* Attend area-wide staff training and development sessions.
+
==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
−
+
* Employer: IBM Research
−
'''EXPERIENCE AND SKILLS'''
+
* Title: Research Scientist
 +
* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
 +
* Location: San Jose, California, USA
 +
* Deadline: 1 June 2015
 +
* Date Posted: 6 May 2015
 +
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127
  
−
EDUCATION
+
'''Job Description'''
  
−
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).
−
 
−
EXPERIENCE
 
  
−
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
+
We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.
  
−
OTHER REQUIREMENTS
+
The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.
−
* Knowledge of UNIX and Windows computing environments.
 
  
−
* Familiarity with UNIX tools and scripting languages.
+
'''Required'''
  
−
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
+
* Master's Degree
 +
* At least 1 year experience in developing advances in Computer Science disciplines
 +
* At least 1 year experience in performing Scientific Research
 +
* English: Intermediate
  
−
* Excellent verbal and written communication skills.
+
'''Preferred'''
  
−
+
* Doctorate Degree in Information Technology
−
'''APPLYING'''
+
* At least 3 years experience in developing advances in Computer Science disciplines
 +
* At least 3 years experience in performing Scientific Research
 +
* English : Fluent
  
−
Interested parties can apply for the position through the following website:
+
'''Additional Information'''
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
 +
 +
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
  
−
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
 
  
−
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
==PhD position in statistical language modelling==
 +
* Employer: Cardiff University
 +
* Title: PhD scholarship
 +
* Topics: Statistical language modelling, relation extraction, social media
 +
* Location: Cardiff, UK
 +
* Deadline: 1 June 2015
 +
* Date Posted: 7 April 2015
 +
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html
  
−
* Employer: Austrian Research Institute for Artificial Intelligence
+
'''Job Description'''
−
* Group: Language Technology
 
−
* Title: Junior Researcher
 
−
* Requirements:
 
−
** Permission to work within the European union
 
−
** Excellent English language skills; knowledge of the German language is a plus
 
−
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
 
−
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
 
−
** Programming skills in C++, Perl and/or Java
 
−
** Strong ability to work independently and drive an original research agenda
 
−
* Deadline:  June 15, 2012
 
−
* Date Posted: May 14, 2012
 
−
* Contact: harald.trost@ofai.at
 
  
−
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".  
+
Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.
  
−
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
+
'''Funding and eligibility'''
  
−
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.
  
−
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
Candidates should:
  
−
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
+
* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
 +
* or have a masters degree with distinction in the research dissertation in a relevant discipline;
 +
* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
 +
* or be over 25 and have relevant work experience in a position of responsibility.
  
−
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
+
The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.
  
−
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
+
Applicants are particularly welcomed from candidates with a background in computer science.
  
 +
If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.
  
−
== Junior Research Group Leaders at Saarland University ==
+
'''Further information'''
  
−
* Employer: Saarland University, Germany
+
For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html
−
* Division: MMCI Cluster of Excellence
 
−
* Title: Junior Research Group Leaders
 
−
* Job ID: W490
 
−
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
−
* Location: Saarbrücken, Germany
 
−
* Deadline:  April 30, 2012
 
−
* Date Posted: April 4, 2012
 
−
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
  
−
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
+
==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
 +
* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing
 +
* Location: Adelphi, MD, USA
 +
* Deadline: Open until filled
 +
* Date Posted: March 17, 2015
 +
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)
  
−
Deadline for applications is April 30th, 2012.
+
'''Job Description'''
  
−
For the complete announcement see:
+
The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.
−
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
  
 +
Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics.  Areas of interest include:  text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.
  
−
Additional information on the excellence cluster is available on
+
The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/).  ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.  
−
http://www.mmci.uni-saarland.de/
 
  
 +
'''Requirements'''
  
−
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
+
* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
  
−
== Scientist Position in Statistical Machine Translation at Microsoft ==
+
'''How to Apply'''
  
−
* Employer: MICROSOFT
+
If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.
−
* Division: Online Services Division
 
−
* Title: Scientist Position
 
−
* Job ID: 789594
 
−
* Specialty: Statistical Machine Translation
 
−
* Location: Bellevue, WA or Mountain Vew, CA
 
−
* Deadline: As soon as possible
 
−
* Date Posted: March 30, 2012
 
−
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
 
  
−
Scientist Position in Statistical Machine Translation
+
==Postdoctoral Researcher in NLG for Narrative==
−
+
* Employer: Liquid Narrative Group, North Carolina State University
−
Research and Development Opportunities for Next Generation Technology at Microsoft
+
* Title: Postdoctoral Research Scholar
−
+
* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
−
Do you want to impact billions of people all over the world with speech technology that you create?
+
* Location: Raleigh NC, USA
 +
* Deadline: Open Until Filled
 +
* Date Posted: March 10, 2015
 +
* Online Application: http://jobs.ncsu.edu/postings/40524
  
−
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,
+
'''Job Description'''
−
weighted finite state transducers, natural language processing and machine learning will be preferred.
 
−
 
−
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.
 
  
−
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
+
The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.
  
 +
The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.
  
 +
He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.
  
−
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
+
'''Requirements'''
  
−
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
+
The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
−
* Title: Post MS, Post Doc, or above
+
* Experience with developing NLG systems
−
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
+
* Excellent software-design and problem-solving skills
−
* Location: Mountain Vew, CA
+
* Good programming skills
−
* Deadline: As soon as possible
+
* Excellent written and oral communication skills
−
* Date Posted: March 21, 2012
 
−
* Contact: patrick.w.langley@gmail.com
 
  
−
An ongoing project has an opening for a researcher who will help extend
+
Experience in the following areas would be a plus:
−
Icarus, a cognitive architecture, to reason about other agents' mental
+
* Automated discourse planning technologies
−
states in the context of dialogues and joint activities. The framework
+
* Dialogue generation
−
uses a logical formalism to encode knowledge, beliefs, and goals, and
 
−
it relies on a form of abduction to make plausible inferences. Experience
 
−
in building reasoning systems that operate over rich representations is
 
−
essential, and a background in applied logic, knowledge-based systems,
 
−
and/or cognitive architectures is highly desirable.
 
  
−
The location of the project will be Carnegie Mellon's Silicon Valley
+
'''Position details'''
−
Campus. The start date is negotiable, but the position will be available
 
−
on May 1, 2012, and the project has funding for another two years.
 
−
Interested parties should send their curriculum vitae, along with
 
−
the contact details for two or more references, to Pat Langley
 
−
<patrick.w.langley@gmail.com>.
 
  
 +
This is a full-time position.
 +
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015.  The position may be extendable depending on availability of funds.
  
−
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
+
Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524
  
−
* Employer: Illinois Institute of Technology
+
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.  Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
−
* Title: Postdoc
 
−
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
 
−
* Location: Chicago, IL
 
−
* Deadline: As soon as possible
 
−
* Date Posted: March 13, 2012
 
−
* Contact: argamon@iit.edu
 
  
−
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
 
  
−
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
+
==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
  
−
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
+
'''Job Description'''
  
−
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
+
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:
  
−
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
+
PhD-level Researchers in Language Technology or Computational Linguistics
  
−
Review of applications will begin immediately and continue until the position is filled.
+
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
−
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
+
* 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.
  
−
* Employer: Google
+
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.
−
* Job title: Postdoc
 
−
* Specialty: Natural Language Processing, Machine Learning, summarization
 
−
* Location: Zurich, Switzerland
 
−
* Deadline: we are looking to fill the position soon
 
−
* Date posted: 1 March 2012
 
  
−
A post-doctoral position in the area of automatic text summarization
+
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.  
−
within the RENDER project is available at the Google Switzerland R&D
 
−
office. RENDER is a EU FP7 research project focused on identifying
 
−
diversity of opinions, viewpoints, mindsets and backgrounds in texts
 
−
from different sources: news, (micro) blog streams, and in
 
−
collaboratively written resources like Wikipedia. More information on
 
−
the project goals is available at http://render-project.eu/.
 
  
−
The duration of the post-doctoral contract will be one year, with the
+
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.
−
possibility of renewing for a second year. This position will allow
 
−
the candidate to perform research on several NLP-related areas,
 
−
to interact with the consortium partners and with other Google-internal
 
−
research and development projects, and to apply the results of the
 
−
research to real applications with a potentially large impact.
 
  
−
Requirements:
+
'''Requirements'''
−
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
 
−
* Extensive programming experience in C/C++.
 
−
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
 
−
* Fluency in English.
 
  
−
Responsibilities:
+
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.  
−
* Perform research in the context of the project (text summarization).
 
−
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
 
−
* Publish the result of the research in top conferences or journals.
 
−
* Be available to attend project meetings with the partners in the project.
 
  
−
For applying to this position, please send an e-mail to Enrique
+
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.  
−
Alfonseca (ealfonseca@google.com) including a paragraph on why you
 
−
think you are a right person for the role, and a brief CV.
 
  
−
== 4 PhD positions in spoken dialogue systems research ==
+
Applications should include
  
−
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
+
* a motivational letter that refers to one of the above listed guiding themes,
−
* Job title: 4 PhD positions in spoken dialogue systems research
+
* a CV with information about the applicant’s scientific work,
−
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
+
* certifications of study and work experience,
−
* Location: Prague, Czech Republic
+
* as well as a thesis or other publications in electronic form.
−
* Deadline: 1 June 2012
+
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.
−
* Date posted: 16 February 2012
 
−
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
 
  
−
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
 
  
−
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.  
+
==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
  
−
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
+
'''Job Description'''
  
−
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.  
+
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.  
−
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
 
  
 +
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.
  
−
== PhD-position in sentiment mining and reputation analysis==
+
'''Requirements'''
  
−
* Employer: Erasmus University Rotterdam
+
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.
−
* Job title: PhD-student
 
−
* Specialty: text mining, sentiment analysis, topic detection, reputation management
 
−
* Location: Rottterdam, The Netherlands 
 
−
* Deadline: 1 March 2012
 
−
* Date posted: 6 February 2012
 
−
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
  
−
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
+
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.
−
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT.
 
  
−
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
  
−
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
+
==PhD-position in 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)
  
−
== PhD-position in folktale classification and clustering ==
+
'''Job Description'''
−
* Employer: University of Twente
 
−
* Job title: PhD-student
 
−
* Specialty: text classification, document clustering, natural language processing
 
−
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
 
−
* Deadline: 4 March 2012
 
−
* Date posted: 6 February 2012
 
−
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
 
  
−
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers. The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
+
The 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).
  
−
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.  
+
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.
  
−
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
+
'''Requirements'''
  
−
==Research Associate Position at Educational Testing Service==
+
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.
−
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
 
−
* Job Title: Research Associate
 
−
* Location: Princeton, NJ
 
−
* Deadline: Open until filled
 
−
* Date Posted: 28-Jan-2012
 
−
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
 
−
* Contact email: dyanchuk@ets.org
 
  
−
'''JOB DESCRIPTION'''
+
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
  
−
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.  
+
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.
  
−
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
  
−
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
+
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
  
−
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
+
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.  
  
−
* Plan and manage annotations for a variety of projects.  
+
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.
  
−
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
 
  
−
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
+
==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
  
−
* Design original research instruments and methods and applications of research.
+
'''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.  
  
−
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java and/or Python
  
−
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
−
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
+
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
+
*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
  
−
* Contact, establish, and develop relationships with research community and with data sources.
+
'''Job Description'''
  
−
* Arrange and attend conferences and meetings; present research findings at professional meetings.  
+
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.
  
−
'''EXPERIENCE AND SKILLS'''
+
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.
  
−
EDUCATION
+
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.
  
−
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.  
+
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.
  
−
EXPERIENCE
+
'''Required'''
  
−
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
+
(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
  
−
APPLYING
+
'''Desired'''
  
−
Interested parties can apply for the position through the following website:
+
(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
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
+
For more information see the application link above.
  
−
If there are any questions, please contact:
+
== 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
  
−
Dave Yanchuk
+
'''Job Description'''
−
(609) 406-5291
+
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
−
dyanchuk@ets.org
+
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
  
 +
'''About the role'''
  
−
==Postdoc Position at HRL Laboratories==
+
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.  
−
* Employer: HRL Laboratories, LLC
 
−
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
 
−
* Location: Malibu, CA
 
−
* Deadline: Open until filled
 
−
* Date Posted: 26-Jan-2012
 
−
* Contact email: hmoon@hrl.com
 
  
−
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
+
'''Key Responsibilities'''
−
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
+
*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
  
−
Job Description:
+
'''About You'''
  
−
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
+
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:
  
−
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
+
*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
  
−
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.  
+
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'''
  
−
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.  
+
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'''
  
−
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.  
+
== 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
  
−
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
+
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
+
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.
  
−
==Postdoc Position at Aberdeen University==
+
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.
−
* Employer: University of Aberdeen
 
−
* Rank: Post-doctoral Research fellow
 
−
* Speciality: Intelligent Language/Multimodal Interfaces
 
−
* Location: Aberdeen, UK
 
−
* Deadline: 10-Feb-2012
 
−
* Date Posted: 19-Jan-2012
 
−
* Contact email: yaji.sripada@abdn.ac.uk
 
−
Digital Economy is an RCUK cross-council programme, aimed at realising the transformational impact of ICT for all aspects of business, society and economy. The dot.rural Digital Economy Hub at the University of Aberdeen is one of three large multi-disciplinary research hubs funded through this programme, and commenced its activities in October 2009.
 
−
The Hub award to Aberdeen is worth £11.8M and will fund five years of activity. The Hub brings together a large team of researchers (70+) working in and across the disciplines of computer science, communications engineering, transport, health, social sciences and environmental sciences. For further details, see: www.dotrural.ac.uk
 
−
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to work in the area of intelligent language/ multimodal interfaces. The Research Fellow will help develop and be responsible for natural language generation (NLG) based and other creative forms of on-line communication in a research project on effective communication of river water levels to the public, as well as contributing to interfaces of similar kinds needed for other projects related to natural resource conservation.
 
−
The successful candidate will have a good knowledge of natural language processing techniques or multimodal interfaces (at the PhD level). They will have some knowledge of NLG and a desire to learn more. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering. The ability to use GIS would be an advantage.
 
−
As this post is externally funded it is available for a period of 2.5 years.
 
  
−
For more details
+
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.
  
−
Go to: http://www.abdn.ac.uk/jobs/index.php
+
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)
−
Click on "External Applicants"
 
−
Enter the Post Reference Number 1228867 and click "Search"
 
  
−
==Postdoc or Research Associate - Natural Language Processing==
+
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).
−
* Employer: IHMC (www.ihmc.us)
 
−
* Rank or Title: Research Associate - Natural Language Processing
 
−
* Specialty: Computational Linguistics, Natural Language Processing
 
−
* Location: Ocala, FL
 
−
* Deadline: Applications accepted until position is filled
 
−
* Date Posted: January 3rd, 2012
 
−
* Contact email ywilks@ihmc.us
 
  
−
'''About Us'''
 
−
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
−
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
−
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
−
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
  
−
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
−
+
*Employer: Cardiff University
−
Required:
+
*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
  
−
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
+
'''Job Description'''
  
−
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
+
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.  
  
−
▪ Ph.D. in computational linguistics / natural language processing or related areas.
+
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.
  
−
Skills and Experience:
+
'''Essential criteria'''
  
−
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
+
*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.
  
−
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
+
'''Desirable criteria'''
  
−
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
+
*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.
  
−
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
+
'''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.
  
−
Apply to Yorick Wilks at: ywilks@ihmc.us
+
==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'''
−
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
 
−
* Employer: Queens College of the City University of New York
 
−
* Location: New York, NY
 
−
* Deadline: Review of applications to begin on March 1, 2012
 
−
* Website: http://www.cs.qc.cuny.edu/
 
−
* Date posted: January 4, 2012
 
  
−
'''Visiting Assistant/Associate/Full Professor'''
+
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
  
−
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1.  This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
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.
  
−
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience.  Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors.  If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
+
'''Applicant'''
  
−
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research.  More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
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.
  
−
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
+
'''Application Process'''
  
−
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
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.
  
−
Dr. Matt Huenerfauth, Search Committee Chair
 
  
−
Department of Computer Science  
+
==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
  
−
Queens College-CUNY
+
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.
  
−
65-30 Kissena Blvd.  
+
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.
  
−
Flushing, New York 11365-1597
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
  
−
matthew.huenerfauth (at) qc.cuny.edu
+
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.
  
−
Email submissions with PDF attachments are preferred.  In addition, please arrange for three current letters of reference to be submitted directly by the recommenders. Review of applications will begin on March 1, 2012, and will continue until the position is filled.
+
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.
  
−
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification.  We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply.  We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
== Headline text ==
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Revision as of 07:10, 20 August 2015

One PHD / POSTDOC position in Text Analysis at the University of Mannheim

  • Employer: The Data and Web Science Research Group, University of Mannheim, Germany
  • Title: PhD or Postdoctoral Research Fellow
  • Topics: Natural Language Processing
  • Location: Mannheim, Germany
  • Deadline: September 15, 2015
  • Date Posted: August 20, 2015
  • Contact: sfb884@informatik.uni-mannheim.de

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

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

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

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

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

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

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

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



Postdoctoral Fellow in NLP for EEG Analysis at Temple University

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

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

Supervisor: Iyad Obeid, PhD and Joseph Picone, PhD

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

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

Length of appointment: This position is for three years.

Available: October 1, 2015.

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

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


Postdoctoral Fellow in Sentiment Analysis at McMaster University

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

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

Supervisor: Victor Kuperman, PhD, Fei Chiang, PhD

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

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

Length of appointment: This position is for two years.

Available: August 1st, 2015.

Compensation: $50,000/year.

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


Postdoctoral Fellow in Natural Language Processing at Brigham and Women's Hospital / Harvard Medical School

  • Employer: Brigham and Women's Hospital / Harvard Medical School
  • Title: Postdoctoral Research Fellow
  • Topics: Natural Language Processing
  • Location: Boston, MA
  • Deadline: Open until filled
  • Date Posted: July 11, 2015
  • Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

Research focus: the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

Supervisor: Alexander Turchin, MD, MS, FACMI

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

Education: PhD in computer science, biomedical informatics, linguistics, or related discipline, MD or an equivalent degree.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

Available: August 1st, 2015.

Compensation: according to NIH (NRSA) stipend levels.

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


Data Scientist - Unstructured Data at Civis Analytics

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


Who We Are

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

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

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

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

Why should you join our team?

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

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

Position Overview

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

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

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

Requirements

MINIMUM QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

How to Apply

Apply online at: civisanalytics.com/careers

Postdoctoral Fellow in NLP at University of Pennsylvania

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

Job Description

Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 24 months, starting immediately.

The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.

The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.

Requirements

The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.

How to Apply

Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.


Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition

Job Description

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

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

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

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

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

Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics

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

Job Description

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

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

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

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

Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden

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

Job Description

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

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

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

Required

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

Preferred

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

Additional Information

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

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


PhD position in statistical language modelling

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

Job Description

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

Funding and eligibility

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

Candidates should:

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

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

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

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

Further information

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

Postdoctoral Researcher in NLP at U.S. Army Research Lab

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

Job Description

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

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

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

Requirements

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

How to Apply

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

Postdoctoral Researcher in NLG for Narrative

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

Job Description

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

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

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

Requirements

The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:

  • Experience with developing NLG systems
  • Excellent software-design and problem-solving skills
  • Good programming skills
  • Excellent written and oral communication skills

Experience in the following areas would be a plus:

  • Automated discourse planning technologies
  • Dialogue generation

Position details

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

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

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


PhD-level Researchers in Language Technology or Computational Linguistics

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

Job Description

The newly established Research Training Group „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.


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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