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Postdoctoral Scholar at Sustainable Fisheries Group (SFG) Marine Science Institute

Recruitment Period

Open date: May 22nd, 2018
Last review date: June 12th, 2018
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: October 31st, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


The Sustainable Fisheries Group (SFG) at the University of California, Santa Barbara (UCSB) seeks a fisheries scientist or fisheries economist for a post-doctoral scholar position to begin in late summer 2018. The research focus of the position will be to conduct empirical and/or theoretical analysis and explore innovative solutions to applied challenges in fisheries, marine resource management, and conservation.

The ideal candidate will have excellent quantitative and modeling skills and an interest and track record in publishing in top scientific journals. Interest and or experience in spatial modeling is a plus. The scholar will collaborate with SFG, a multidisciplinary research team that combines principles of economics and ecology to address applied and theoretical challenges in the marine environment. The successful candidate will report to SFG Principal Investigators and will be affiliated with the Bren School of Environmental Science & Management and the Marine Science Institute at UCSB.

Basic Qualifications:
*PhD in Environmental Economics, Natural Resource Economics, Fisheries Science or a closely related discipline.

Additional Qualifications:
*Familiarity with fisheries management and its underlying economic principles, in both small- and large-scale fishery contexts
*Advanced modeling experience in R (or similar) statistical software
*Experience with management, synthesis, and analysis of large datasets
*Relevant academic and/or practical experience conducting economic modeling, fisheries modeling, and/or stock assessments

Preferred Qualifications:
*3+ years of experience in empirical fisheries research and modeling
*Proficiency using GitHub, Shiny, and/or other modern data management, sharing, and presentation interfaces
*At least two peer-reviewed publications in an internationally recognized journal
*Excellent communication skills to contribute to reports and peer-reviewed scientific publications, deliver presentations, and translate scientific concepts for diverse audiences
*Strong interpersonal skills to build and maintain strong relationships with academic, NGO, and government partners and to work effectively as part of a highly collaborative research team.

The duration of the appointment is for 100% time for 12 months; reappointment is possible depending on performance and funding. The start date is negotiable but ideally would be in late summer, 2018. Salary is competitive, commensurate with the applicant’s qualifications, and postdoctoral benefits are included.

For primary consideration apply by June 12, 2018. Thereafter, the position will be open until filled. Send applications including cover letter, Curriculum Vitae, sample of written research, and contact information for three references to:

The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service as appropriate to the position.

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 status, protected veteran status, or any other characteristic protected by law.

Job location

Santa Barbara, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Sample of Written Research

Reference requirements
  • 3 required (contact information only)

How to apply

  1. Create an ApplicantID
  2. Provide required information and documents
  3. If any, provide required reference information
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