Employment opportunities, postdoctoral positions, summer jobs

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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: [1] 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 [2]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [3], 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

Research Scientist, Natural Language Processing, Educational Testing Service, Princeton, NJ, USA

  • Employer: Educational Testing Service, Princeton, NJ, USA
  • Title: Research Scientist, Natural Language Processing
  • Specialty: Software development, NLP, Machine Learning, Educational Applications
  • Deadline: Open until filled
  • Date Posted: December 15, 2009
  • Links to website: [4]

Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education and government, we are determined to advance educational excellence for the communities we serve.

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’s 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:

  • Providing 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.
  • Developing and/or modifying NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems that are used to improve assessments, learning tools and test development practices.
  • Applying scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
  • Developing and overseeing the conduct of selected portions of research proposals and project budgets.
  • Designing and conducting complex scientific studies functioning as an expert in major facets of the projects.
  • Assisting in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
  • Participating in dissemination activities through the publication of research papers, progress and technical reports; the presentation of seminars; or other appropriate communication vehicles.
  • Developing professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.

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; a very strong statistical background and 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) are also required.

ETS offers competitive salaries, outstanding benefits, a stimulating work environment and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.

How to Apply:

Please visit our Careers page at www.ETS.org and apply directly for position #79756. Please include a cover letter stating job title and salary requirements.

Senior Software Systems Engineer (NLP), Educational Testing Service, Princeton, NJ, USA

  • Employer: Educational Testing Service, Princeton, NJ, USA
  • Title: Senior Software Systems Engineer
  • Specialty: Software development, NLP, Machine Learning, Educational Applications
  • Deadline: Open until filled
  • Date Posted: December 2, 2009
  • Contact: Derrick Higgins dhiggins AT ets DOT org
  • Links to website: [5]

The Educational Testing Service has a group of about 12 researchers dedicated to natural language processing and speech analysis. Much of this work focuses on methods for automatically scoring responses (such as essays or monologues) to open-ended test items, or to providing instructional feedback to test takers based on their responses. A selected bibliography of the group’s work can be found at http://ets.org/research/erater.html.

We are currently looking to hire a software engineer with a strong NLP background. The official job posting, together with application instructions, is at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=79723&type=main&cfcend (You can also go to http://ets.pereless.com/careers/index.cfm, and search for Job ID 79723.)

Qualified candidates should

  • be highly skilled in Java, Perl, and Python programming
  • be familiar with UNIX tools and scripting languages
  • have a demonstrated commitment to software development best practices, including documentation, reusable code design, and integrated software testing
  • have a strong grasp of computational algorithms and elementary statistics

Ideal candidates should also have experience with natural language processing and speech processing applications. Desired qualifications include:

  • An understanding of different statistical classification techniques, and the strengths and weaknesses of each
  • A grasp of the levels of linguistic analysis (syntax, semantics, morphology, phonology) and typical computational approaches applied at each level in corpus-based research
  • Experience with machine learning toolkits such as Weka, Mallet, libsvm, SVMLite, and See5
  • Experience with machine learning and natural language processing resources such as WordNet, parsers, taggers, and information retrieval systems

Above all, candidates should be flexible, self-motivated, and team-oriented.

M. Sc. In computer science, computational linguistics, or a related field is highly desirable.

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