Postdoctoral Scholar - Computer Science - School of Information
Postdoctoral Scholar - School of Information
The School of Information and the Computer Science Division at the University of California, Berkeley seeks a Postdoctoral Scholar to conduct research and algorithm development in Natural Language Processing (NLP), with a sub-interest in Information Retrieval (IR) or Citation Analysis. This position funds a researcher to work alongside Prof. Marti Hearst on a Sloan-funded project whose goal is to develop intelligent interfaces to the AI scientific literature, in collaboration with researchers and developers at Allen Institute of AI (AI2's) Semantic Scholar project. The Postdoctoral Scholar will develop novel algorithms and software to identify definitions within and between scientific papers in the co-citation network, analyze textual descriptions of mathematical notation, and other relevant NLP and IR research problems. This ambitious project provides an opportunity to test research results with tens of thousands of users in an open source environment.
The position, starting in January 2020, is for one year, full time 100%, with the possibility of renewal contingent on performance and funding.
This position will remain open until filled.
Duties of Position
The Postdoctoral Scholar will develop novel algorithms and software to identify definitions within and between scientific papers in the co-citation network, analyze textual descriptions of mathematical notation, and other relevant NLP and IR research problems. This ambitious project provides an opportunity to test research results with tens of thousands of users in an open source environment.
Basic Qualifications (at the time of application)
Candidates must have completed all Ph.D degree requirements except the dissertation or be enrolled in an accredited Ph.D or equivalent international degree program at time of application
Additional Qualifications (by the start date)
By start date: PhD degree or equivalent international degree.
No more than four years of post Ph.D. research experience.
Applicants should have interests in one or more of the following areas: natural language processing, co-citation analysis, information retrieval. The ideal candidate is deeply interested in analyzing the text of documents via detecting and/or generating explanations and definitions within and between documents in a co-citation network. A background or interest in human computer interaction is a strong additional qualification. The position does not have a teaching requirement, but if desired, the Postdoc will have opportunities to mentor both undergraduate and graduate students. The Postdoc will be viewed as a colleague, and with mentorship, will be launched to the next career stage.
Applicants should have experience conducting independent research, demonstrate a record of developing algorithms and supporting software, communicating research via publications and presentations, be excited about the goals of the project and about participating in collaborative, interdisciplinary research.
Salary and Benefits:
The salary range for this position is $50,760 to $60,000 annually. Information on available benefit plans and eligibility can be found at: https://clients.garnett-powers.com/pd/uc/plans_benefits/
Please submit applications electronically at https://aprecruit.berkeley.edu/JPF02405
Please direct questions to Prof. Marti Hearst (firstname.lastname@example.org
) with the subject line NLP postdoc application"
Letters of reference may be solicited for finalists. We will seek your permission before contacting your references.
All letters will be treated as confidential per University of California policy and California state Law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (https://apo.berkeley.edu/ucb-confidentiality-policy
) prior to submitting their letters.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: