Postdoc in Machine Learning applied to NLP
Department: https://computation.llnl.gov/casc/
Location: Livermore, CA (Bay Area)
Salary: highly competitive
Original Posting Web Page: https://jobs.llnl.gov
Keywords: AI, Algorithms, Graphics, HPC, information retrieval, Information Science, machine learning, Networks, NLP, statistical NLP
Posted on: Monday, August 17th, 2009
Job Details:
Postdoc Position in Machine Learning and Information Retrieval at Lawrence Livermore National Laboratory (LLNL)
* Eligible candidates are recent PhD’s in Computer Science, Information Science, or related fields.
* Postdoc is expected to conduct independent research in approaches to information retrieval. Specifically, using machine learning to discover concepts and topics for specialized corpora; provide relevance feedback for specific users based on content and metadata for individual items in a corpus; and assist in developing innovative user interfaces.
* Postdoc can use 25% of his/her time on independent research.
* Postdoc will work with a multi-disciplinary team of scientists, academics, and analysts inside and outside the Lab.
* This is a one-year term appointment with the possibility of extension to a maximum of three years. Will also consider full-time employment on a case-by-case basis
* competitive salary
* Nominal start date is October 1, 2009, but may be later based on candidate needs.
* US citizenship is preferred.
Please send a CV and list of references to David Buttler (EMAIL OBFUSCATED). A full statement of research is not needed, but a cover letter explaining your interests and highlighting relevant skills would be helpful. For the subject of your email, please use: Application for LLNL Job# 008304.
For more information visit https://jobs.llnl.gov and search for job number: 008304.
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The Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL) has an opening for a postdoctoral researcher to perform advanced research and development in the area of information retrieval, natural language processing, and text analysis. Successful candidates will have research experience in one or more of the following areas: large-scale information retrieval; human computer interaction for information retrieval; information extraction; machine learning; and statistical learning. Will also have experience with implementing and evaluating novel computational techniques and publishing the results, and should be able to work as part of a team. Candidates will be encouraged to conduct relevant exploratory research and publish results. Will work in multidisciplinary teams in an environment that encourages participation in the academic research community while focusing on problems of interest to LLNL programs. Will report to the Informatics Group Leader within CASC.
ESSENTIAL DUTIES
- Conduct independent research and development in one or more areas of computer science of interest to CASC, such as: large-scale information retrieval; human computer interaction for information retrieval; information extraction; machine learning; and statistical learning.
- Document research and development progress via technical reports, journal publications and conference presentations. – Develop software to evaluate novel computational techniques.
– Interact with scientists from LLNL programs to help address their computational needs.
- Identify and pursue complementary research problems.
- Publish papers and attend conferences and workshops.
MARGINAL DUTIES
- Interact with outside collaborators to extend the research and software.
ESSENTIAL SKILLS, KNOWLEDGE AND ABILITIES
- Recent Ph.D. in Computer Science or related field.
- Research experience in information retrieval, natural language processing or a related field.
– Demonstrated ability to conduct high quality research and to develop implementations to evaluate the results.
- Experience with statistical techniques and data analysis methods.
– Ability to present information clearly, both verbal and written.
– Demonstrated interpersonal communication skills necessary to work effectively in a team environment.
- Experience working in a dynamic environment.
DESIRED SKILLS, KNOWLEDGE AND ABILITIES
- Proficiency in Java and object-oriented methodologies.
SPECIAL REQUIREMENTS
Preplacement Medical Examination: None required. Pre-Employment Drug Test: External applicants selected for this position will be required to pass a post-offer, pre-employment drug test.
Anticipated Clearance Level: Q (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.
US Citizenship a requirement.
NOTE: This is a one-year term appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhD’s within five years of the month of the degree award at time of employment offer.
To apply: Please go to http://jobs.llnl.gov and apply to posting # 008304
Contact Information
Send questions about this position to David Buttler
E-Mail: EMAIL OBFUSCATED
Phone:
Application Deadline: open until filled
Categories Posted To:
AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining
