NRDC is seeking a two-year, full-time Ocean Fisheries Science Fellow with extensive experience in statistics and population dynamics modeling to develop and apply a recently introduced software program designed to conduct Management Strategy Evaluation (MSE) for data-limited fisheries (DLMtoo
l). While working closely with software developer Dr. Tom Carruthers from the University of British Columbia and policy experts from NRDC, the Fellow will develop collaborations with key fisheries bodies that have expressed interest in learning and applying the DLMtool to fisheries around the world.
The Ocean Fisheries Science Fellow will be supported by NRDC’s Science Center, whose mission is to expand NRDC’s scientific capabilities and increase support for the role of science in public policy. In addition to the ocean fisheries work with NRDC’s Oceans program and Dr. Carruthers, the Fellow will participate in NRDC Science Center activities with NRDC staff scientists and other Science Fellows representing a broad cross section of environmental science and policy. The fellowship presents an excellent opportunity to refine existing skills and build new ones, develop professionally, and publish work. The Fellow will be based in NRDC’s San Francisco or New York office. Responsibilities
Key tasks will involve programming in R, customizing operating models for specified fisheries, running and analyzing MSEs, applying stock assessment methods and harvest control rules, and developing recommendations for data collection prioritization. The job requires the ability to present quantitative scientific results and their implications for fisheries management bodies in clear narrative terms, both written and oral. The ideal candidate will have superior quantitative programming skills, excellent writing capacity, the ability to communicate population dynamics and fisheries statistics to a lay audience, and the ability to work collaboratively with multidisciplinary teams. The ability to work independently is essential.Qualifications
The following qualifications are required:
A Ph.D. in fisheries science including statistical analysis and fishery population dynamics modelling;
Excellent written and spoken English; fluency in other languages would be a bonus;
Proficient in quantitative analysis of marine ecological data and biostatistics;
Ability to analyze and manage large datasets;
Knowledgeable in computer programing and development of computer simulation models;
Proficient in R coding;
Organizational planning skills, including an ability to organize and coordinate workshops and seminars;
Proposal writing skills;
Positive work attitude and ability to work on an interdisciplinary research team, as well as independently.
Review of applications will begin on December 12
, 2016, and the position will remain open until filled.