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

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<p>ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research.  Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government.</p> <p>ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing.  This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater).</p> <p>Responsibilities of the position include but are not limited to:</p> <ul> <li>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.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul><img src="http://www.jobtarget.com/c/includes/jvimg.cfm?site=10875&job=7023658"/>
  
<p>ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research.  Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government.</p> <p>ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing.  This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater).</p> <p>Responsibilities of the position include but are not limited to:</p> <ul> <li>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.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>
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<p>Requirements:</p> <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> <p>We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer.</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail]<span style="font-size: x-small;">&CID=83080&JID=91476&type=&cfcend</span></a></p> [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
 
 
<p>Requirements:</p> <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> <p>We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at www.ets.org using position #91476. ETS is an Equal Opportunity, Affirmative Action Employer.</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
 
  
  

Revision as of 08:08, 6 August 2010

Research Scientist, Natural Language Processing

  • Employer: ETS (Educational Testing Service)
  • Rank or Title: Research Scientist, Natural Language Processing
  • Specialty: Research
  • Location: Princeton, New Jersey, United States, 08540
  • Deadline: Open until filled
  • Date Posted: July 21, 2010
  • Contact: Apply Here


ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research. Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government.

ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing. This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater).

Responsibilities of the position include but are not limited to:

  • Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing and disseminating results of research projects in the field of natural language processing (NLP) or portions of large-scale research studies or programs in the same field.
  • Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.
  • Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
  • Develop and oversee the conduct of selected portions of research proposals and project budgets.
  • Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
  • Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
  • Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
  • Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.

<img src="http://www.jobtarget.com/c/includes/jvimg.cfm?site=10875&job=7023658"/>

Requirements:

  • Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.
  • Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.
  • Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.
  • Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.

We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer.

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend</a>

Apply Here



Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA

  • Employer: Linguistic Data Consortium, the University of Pennsylvania, USA
  • Rank or Title: Programmer Analyst (#100328205)
  • Specialty: Corpus Creation, Annotation Tool Development
  • Location: Philadelphia, PA, USA
  • Deadline: Open until filled
  • Date Posted: June 24, 2010
  • Contact: Please visit application URL

This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.

For further information or to apply online, visit the application URL above.

This position is contingent upon funding.

Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.

The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).

Computational Linguist contracts (Several languages)

  • Employer: The Lingua Team, LLC
  • Rank or Title: Computational linguist
  • Specialty: Grammar and syntax in foreign languages
  • Location: Redmond, WA, USA
  • Deadline: July 30, 2010
  • Date Posted: June 15, 2010
  • Contact: The Lingua Team website[1], or email [2]

Description: The Lingua team provides linguistic services to IT companies worldwide.

We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic, Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech, Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and Turkish.

These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.

Required: Degreed linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology, lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit for the USA.

Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.


Government internships (unpaid) in text classification and search

  • Employer: U.S. Patents and Trademarks Office
  • Rank or Title: Student Volunteer
  • Specialty: Computer and Information Science
  • Location: Alexandria, VA, USA
  • Deadline: October 08, 2010
  • Date Posted: March 29, 2010
  • Contact: Listing at USAJOBS.gov

Description: The USPTO is responsible for granting U.S. Intellectual Property Rights for Patents and Trademarks and has been serving the economic interests of America for more than 200 years. The Office is a heavy user of text analysis and search tools for both text and images, and is in the midst of an entire redesign of its Information Technology system. This internship is an opportunity to make a difference to the entire U.S. economy by applying your skills in user interface design and evaluation, text classification algorithm design and evaluation, and search interface and algorithm design and evaluation. For more information about the USPTO, please visit our website at http://www.uspto.gov.

The Office of the Chief Information Technology (IT) Strategist is looking for enthusiastic individuals to design new and evaluate existing interfaces and algorithms for text and image search, and for text and image classification and comparison. Tasks will include some combination of designing, programming, usability testing, and report writing, with an option to write publishable research papers. Projects include designing and testing algorithms and interfaces for collaborative search, for integrated faceted classification into search tools, for automating assignment of faceted classifications to patent documents as well as to non-patent prior art, for allowing the public as well as PTO employees to comment on and annotate documents, and to compare the contents of structured text documents visually and algorithmically. Students with skills in designing tools for online social interaction are also encouraged to apply.


Requirements:

- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.

- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.

- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.

See link above for more details.


Biomedical Text mining Position available, CNIO - Madrid, Spain

  • Employer: Spanish National Cancer Research Center (CNIO)
  • Rank or Title: Project associate research position
  • Specialty: Biomedical Text mining
  • Location: Madrid, Spain
  • Deadline: March 01, 2010
  • Date Posted: Feb 01, 2010
  • Contact: Martin Krallinger - mkrallinger@cnio.es

Description: The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.

The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.

Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.

Requirements: Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.

1) Candidates should have the following qualifications: - Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications). - A solid background and interest in statistical and machine learning methods - Ability to develop algorithms and software for natural language processing/text mining systems - Good English communication skills - A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.

2) Other desirable skills and selection criteria include: - Exposure to biomedical texts/domain. - Familiarity with development of Web Services - Well organized and have the ability to work in an interdisciplinary team. - The publication record would be an advantage. - Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will be also highly desirable. - Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet). - Interest in the evaluation of systems performance and community challenges.

Organization: The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure. The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data. The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.

Salary: Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.

Application: Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es


Full Professor, Theoretical Computational Linguistics, Potsdam, Germany

  • Employer: Potsdam
  • Rank or Title: Full Professor (W3)
  • Specialty: Theoretical Computational Linguistics
  • Location: Potsdam, Germany
  • Deadline: Feb 20, 2010
  • Date Posted: Jan 21, 2010
  • Contact: [3] vasishth@uni-potsdam.de

Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam

The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:

  • Grammar formalisms and (probabilistic) parsing of natural language
  • machine learning techniques for language processing
  • computational semantics

Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [4]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [5], and in other projects related to cognitive science. Experience in obtaining third-party funding and an international presence is desirable.

The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.

Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).

Applications should be received by February 20 2010, and should be sent to: The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany