Employment opportunities, postdoctoral positions, summer jobs

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Postdoctoral Researcher, Natural Language Processing

    • Employer: University of Maryland, CLIP Laboratory
    • Specialty: Summarization, NLP, data mining, machine learning, use of linguistic knowledge in NLP
    • Location: College Park, MD
    • Deadline: Applications accepted until the position is filled.
    • Date Posted: March 11, 2011

A postdoc position is available in the Computational Linguistics and Information Processing (CLIP) Laboratory in the Institute for Advanced Computer Studies at University of Maryland. We are seeking a talented researcher in natural language processing, with strong interests in the processing of scientific literature.

A successful candidate should have a strong NLP background with a track record of top-tier research publications. A Ph.D. in computer science and strong organizational and coordination skills are a must. In addition to pursuing original research in scientific literature processing, the ideal candidate will coordinate the efforts of the other members of that project. While not necessary, experience in one or more of the following areas is highly advantageous: summarization, NLP or data mining for scientific literature, machine learning, and the use of linguistic knowledge in computational systems. Additionally, experience with large-data NLP and system building will be considered favorably.

The successful candidate will work closely with current CLIP faculty, especially Bonnie Dorr, Hal Daume III and Ken Fleischmann, while interacting with a large team involving NLP researchers across several other prominent institutions. The duration of the position is one year, starting Summer or Fall 2011, and is potentially extendible.

CLIP is a a dynamic interdisciplinary computational linguistics program with faculty from across the university, and major research efforts in machine translation, information retrieval, semantic analysis, generation, and development of large-scale statistical language processing tools.

Please send a CV and names and contact information of 3 referees, preferably by e-mail, to: Jessica Touchard (jessica@cs.umd.edu), Department of Computer Science, A.V. Williams Building, Room 1103, University of Maryland, College Park, MD 20742. Specific questions about the position may be addressed to Hal Daume III at hal@umiacs.umd.edu.


Senior Research Scientist, Natural Language Processing

    • Employer: ETS (Educational Testing Service)
    • Specialty: Research
    • Location: Princeton, New Jersey, 08540

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.

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,
  • 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=104122&type=&cfcend

EOE

Apply Here


Text Mining and Natural Language Processing Specialists for eBay

    • Employer: eBay
    • Rank: Applied Researcher
    • Speciality: Information Retrieval & Text Mining / NLP
    • Location: San Jose, CA, USA
    • Deadline: Until filled
    • Date Posted: 2/25/2011
    • Contact email: smohan@ebay.com

eBay is looking for experts in web-scale Information Retrieval and Text Mining / Natural Language Processing to join the Search Science team.

Bring your ideas, energy, and dedication to improve search experience on eBay. The world class search engine at the heart of eBay serves more than 350 million queries every day. The Search Science team is passionate about building the query services and relevance factors that will match our users’ needs to the products in the world's largest online marketplace, and we are looking for top-notch applied researchers.


QUALIFICATIONS

· Ph.D. in Computer Science or related field plus 4 years of relevant software industry R&D experience required.

· Expertise in Information Retrieval and Nature Language Processing.

· Strong statistical and machine learning background.

· Experience and proficiency in Java and/or C++, Perl or similar scripting languages, and distributed processing of documents and web logs using Hadoop.

· Track record of deploying cutting edge technology in an industrial setting.

JOB REQUIREMENTS

· Use your knowledge, skills, and passion for improving search to find opportunities in eBay's log data and search results.

· Use deep domain expertise to individually drive innovative ideas.

· Participate in brainstorming and discovery exercises to determine new ideas.

· Build experimental frameworks and gather data from across the company to support your work.

· Conduct experiments, write prototypes, write specifications, and optionally write production code to deploy new features and methods that improve search quality.

· Lead projects and collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to search.

· Provide technical leadership and mentoring to other team members.

· Lead and contribute to multiple small team projects.

· Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working in search. Communicate to technical and nontechnical audiences inside and outside the search team.

· Participate in meetings with other eBay groups to document best practices and facilitate a knowledge base.



Freelance British English, Japanese, and Mexican Spanish computational linguists

    • Employer: The Lingua Team
    • Rank: Freelance contractor
    • Speciality: Speech & Natural Language Processing
    • Location: Seattle, WA (work can be done remotely)
    • Deadline: 5/1/2011
    • Date Posted: 2/12/2011
    • Contact email: http://www.thelinguateam.com

The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.

French computational linguist

    • Employer: The Lingua Team
    • Rank: Language support contractor
    • Speciality: Speech recognition
    • Location: Seattle, WA (work can be done remotely)
    • Deadline: 03/04/2011
    • Date Posted: 12/28/2010
    • Contact email: http://www.thelinguateam.com

The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.


Senior Research Assistant, Natural Language Processing


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.


Job Description:

Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.


Basic Functions and Responsibilities:

Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.

  • Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.
  • Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.
  • Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.
  • Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.
  • Contribute to formal reports and proposals (or sections thereof).
  • Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.
  • Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.
  • Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.
  • Select and train field staff; instruct support staff.
  • Arrange and attend meetings with clients, committees, and consultants.
  • Meet with clients to plan or interpret guidelines, as assigned.


Required Experience:

EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.

EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.



Associate Research Engineer, Natural Language Processing

    • Employer: ETS (Educational Testing Service)
    • Speciality: Research
    • Location: Princeton, New Jersey 08540
    • Date Posted: 01/07/2011
    • Link to website: http://www.Click2Apply.net/xymwg8p

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

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

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

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

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

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

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

EOE

Apply Here

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

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