Employment opportunities, postdoctoral positions, summer jobs

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French Canadian computational linguist

    • Employer: The Lingua Team
    • Rank: Language support contractor
    • Speciality: Speech recognition
    • Location: Seattle, WA (work can be done remotely)
    • Deadline: 01/04/2011 (apologies for the tight deadline)
    • Date Posted: 12/28/2010
    • Contact email: info at thelinguateam.com

The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French Canadian computational linguist to create speech recognition grammars in xml format. Knowledge of French Canadian is a must. Please, email your resume for consideration. A first set of tasks needs to be completed in the first week of January.


NSF Post Doctoral Fellowship at Localot Research, Cambridge, MA

    • Employer: Localot Research
    • Rank: Post Doctoral Fellow
    • Speciality: NLP/ML research and development for Information Extraction
    • Location: Cambridge, MA
    • Deadline: 01/01/2011 (sorry for the late notice)
    • Date Posted: 12/22/2010
    • Contact email or link to website: http://www.localot.com (pauln@localot.com, work@localot.com)

A NSF postdoc position is available at Localot Research under the NSF SBIR fellowship program. Localot Research develops and applies machine learning and natural language processing techniques to meet both high-precision and high-recall information needs. Staffed with 6 research scientists, and supported by software engineers, Localot Research offers opportunities for applied research on a variety of projects, ranging from active learning for semi-supervised relation extraction to latent variable and multi-task modeling for robust adaptive information extraction and ranking systems.

The successful candidate will be a highly qualified postdoctoral fellow with a strong background in machine learning and natural language processing and a good research publication record in these areas. The candidate must have strong hands-on Java development skills and be able to perform research with close interaction with a small group of researcher scientists at Localot Research. Experience in processing very large noisy data sets is highly desirable as well as ability to clarify research goals consistently with business targets.

The position is initially for one year, ideally starting from January 2011, with potential extension. The position will have an annual income of $75,000. In addition, the fellowship will provide the successful candidate with health insurance. The applicant must be a U.S. citizen, U.S. National or a permanent resident.

Please contact pauln@localot.com or work@localot.com as soon as possible for timely application.

Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation, Grenoble, France

    • Employer: Laboratoire d'Informatique de Grenoble, GETALP team, CNRS
    • Rank or Title: Post Doctoral Fellow, Natural Language Processing and Multilingual Semantic Annotation and Classification
    • Specialty: Research
    • Location: Grenoble, France
    • Deadline: 01/31/2011
    • Date Posted: 12/07/2010
    • Contact email or link to website: http://www.liglab.fr/IMG/protege/form9/PDoc-Videosense-getalp.pdf

The Study Group for Machine Translation and Automated Processing of Languages and Speech (GETALP) at the LIG Lab (Laboratoire d’Informatique de Grenoble) located at Grenoble, France, has an immediate opening for a Postdoctoral Fellow in the area of Natural Language Processing and Multilingual Semantic Annotation and Classification. The Fellowship is for one year, beginning at the earliest convenience in 2011.

The candidate will be working in the framework of the VideoSense project sponsored by the ANR (Agence Nationale de la Recherche) research funding agency. The VideoSense project aims at automatic video tagging by high level concepts, including static concepts (e.g. object, scene, people, etc.), events, and emotions, while targeting two applications, namely video recommendation and ads monetization, on the Ghanni’s media assess management platform. The innovations targeted by the project include video content description by lowlevel features, emotional video content recognition, cross-concept detection, multimodal fusion, and the use of a pivot language for dealing with multilingual textual resources associated with video data. This post doctoral position focusses on the processing of multilingual textual data.

The candidate will develop and integrate several components which will:

  • gather large scale multilingual lexical resources in the concerned languages (English, French, German),
  • train sets of conceptual vectors associated to word senses in the multilingual lexical resources,
  • project each conceptual vector in a pivot vector space,
  • provide a semantic analysis of the textual metadata associated to the video data.

All developments will be made in java.

Minimum Requirements

  • PhD degree in Computer Science, Computational Linguistics, Natural Language Processing, or related fields defended less than 2 years before hiring date.
  • Strong programming skills (java, perl, C++).
  • Full spoken and written proficiency of French or English.

Preferred/Recommended Requirements

  • Basic knowledge in Semantic Analysis of texts, Multilingual Language Resources,
  • Ability to work in a research team
  • Knowledge of French and/or German

Contact

Applicants should send a full CV in French or English, including a list of publications, a description of previous research experience, names and contact of 2 referees, to Gilles Sérasset (Gilles.Serasset[ at ]imag.fr) as soon as possible.

For more information, contact Gilles Sérasset at Gilles.Serasset[ at ]imag.fr.

Associate Research Engineer, Natural Language Processing

    • Employer: ETS (Educational Testing Service)
    • Rank or Title: Associate Research Engineer, Natural Language Processing
    • Specialty: Research
    • Location: Princeton, New Jersey
    • Deadline: 12/31/2010
    • Date Posted: 12/01/2010
    • Contact email or link to website: http://www.Click2Apply.net/rnnrpxe

ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.

Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions. Job Requirements

In addition to exceptional verbal/written communication skills, our qualifications include: 

   * Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
   * A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
   * Coursework in statistics and experience in using machine learning toolkits are highly desirable
   * Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
   * Knowledge of UNIX and Windows computing environments
   * Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend

EOE

Apply Here: http://www.Click2Apply.net/rnnrpxe

Post-doc in Natural Language Processing (Barcelona, Spain)

    • Employer: Universitat Pompeu Fabra, Barcelona, Spain
    • Rank or Title: Postdoctoral Researcher
    • Specialty: Research and Development
    • Location: Barcelona, Spain
    • Deadline: 6/12/2010
    • Date Posted: 19/11/2010
    • Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- PhD with specialization in Natural Language Processing;

- Experience in developing NLP applications and Web services;

- Experience with NLP platforms and tools for the automatic analysis of Spanish language;

- Knowledge and use of the Java language;

- Proficiency in English


We offer:

- A 2-years research contract with a maximum gross salary of 28.842,72€ depending on experience

- Work in a research project with relevance to society

- Work for a dynamic and collaborative research team

- The position is available immediately

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 3 people who can act as your references


Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion. Consult http://www.taln.upf.edu for contact details.


Pre-doc in Natural Language Processing (Barcelona, Spain)

    • Employer: Universitat Pompeu Fabra, Barcelona, Spain
    • Rank or Title: Predoctoral Researcher
    • Specialty: Research and Development
    • Location: Barcelona, Spain
    • Deadline: 6/12/2010
    • Date Posted: 19/11/2010
    • Contact email or link to website: http://www.taln.upf.edu/

The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.

We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.

We require:

- A degree in Computer Science or related field

- Experience in NLP, Machine Learning, or Artificial Intelligence

- Experience in Java programming and Web Service development

We offer:

- A 12-months research contract

- Dynamic and collaborative working environment

- A maximum gross salary of 15.530,76€ depending on experience

- The position is available from January 2011.

Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.

If you are interested in working with us, please send the following documentation:

- Cover letter including your contact details

- A CV and list of publications

- The names and contact details of 2 people who can act as your references


Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion. Consult http://www.taln.upf.edu for contact details.



Research Fellow, NLP and MT for Arabic

    • Employer: University of Wolverhampton, UK
    • Rank or Title: Research Fellow
    • Specialty: Research and Development
    • Location: Wolverhampton, UK
    • Deadline: 30/11/2010
    • Date Posted: 18/11/2010
    • Contact email or link to website: lspecia@gmail.com

The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.

A successful applicant must: - Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas. - Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language. - Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable. - Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.

The starting date is early December 2010.

The application deadline is November 30, 2010.

Applications should be sent by e-mail to:

Dr. Lucia Specia lspecia@gmail.com

Applications must include:

1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.

2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.

3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc

The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.

The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.


Associate Research Scientist, Speech


ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.

You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.


Our requirements include: 

   * Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
   * Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
   * Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
   * Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
   * Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
   * Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend

EOE


Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049



Senior Research Scientist, Natural Language Processing

    • Employer: ETS (Educational Testing Service)
    • Rank or Title: Senior Research Scientist, Natural Language Processing
    • Specialty: Research
    • Location: Princeton, New Jersey, United States, 08540
    • Deadline: 12/04/2010
    • Date Posted: 11/04/2010
    • Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799


ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.

In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.

Job Requirements

Our qualifications include: 

   * A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
   * Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
   * A strong statistical and machine learning background
   * Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
   * Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
   * The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
   * Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
   * Familiarity with the application of NLP tools to educational problems
   * Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:

http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend

EOE

Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799

Research Scientist/NLP Developer

  • Employer: stealth startup
  • Rank or Title: Research Scientist/NLP Developer
  • Specialty: NLP, Medical Informatics, Data Scientist
  • Location: Menlo Park, CA
  • Deadline: Open until filled. Applications reviewed immediately.
  • Date Posted: October 22, 2010
  • Contact: jchew@oneteamtech.com


As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools. You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.

Qualifications & Requirements 

   * PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
   * Experience with NLP, text processing, text mining, search algorithms, machine learning
   * Experience with Medical terminology and data sources (preferred)
   * Data mining and analysis of large data sets (preferred)
   * Strong analytical and algorithm design abilities
   * Experience in Java development
   * Excellent communication skills
   * Ability to work as a team with scientists, engineers and medical professionals
   * Must be an independent self-starter



Natural Language Processing Expert

  • Employer: RealHealthData
  • Rank or Title: Assistant Professor, Computer Scientist, NLP Expert.
  • Specialty: Natural Language Processing
  • Location: Santa Cruz, CA (Telecommuting OK)
  • Deadline: Open until filled, application review begins immediately.
  • Date Posted: October 20, 2010
  • Contact: paul.murphy@realhealthdata.com

Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.

During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.

The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.

Skills: -3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions. -Knowledge of analytics and data visualization -Knowledge of spreadsheet-based analysis and reporting -Experience with programming to implement NLP solutions (C#) -Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.


Assistant Professor, Machine Learning

  • Employer: The Ohio State University
  • Rank or Title: Assistant Professor, Tenure Track
  • Specialty: Machine Learning
  • Location: Columbus, OH
  • Deadline: Open until filled, application review begins November 2010.
  • Date Posted: October 6, 2010
  • Contact: http://www.cse.ohio-state.edu/department/positions.shtml

The Computer Science & Engineering Department at Ohio State has multiple assistant professor openings this year, one of which is targeted for machine learning. Application review will begin in November. More information can be found at the following site: 

  http://www.cse.ohio-state.edu/department/positions.shtml


Scientist/Sr. Scientist, Text Mining Biologist

  • Employer: Pfizer
  • Rank or Title: Scientist/Sr. Scientist, Text Mining Biologist
  • Specialty: Text Mining
  • Location: South San Francisco, CA
  • Deadline: Open until filled
  • Date Posted: August 26, 2010
  • Contact: http://www.pfizer.com

At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.

Responsibilities:

As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills. You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.

You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities. You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above. You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance. You will assist in quantifying the quality of text mining capabilities. You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed. This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.

Qualifications:

MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization. Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors. Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired. Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams. Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.

Please submit resumes for Requisition #942862 to www.pfizer.com


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.

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


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

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