Postdoctoral Research Associate – University of Connecticut

Postdoctoral Research Associate, Marine Sciences

University of Connecticut

Avery Point Campus
The Department of Marine Sciences at UConn, Avery Point is seeking a postdoctoral scholar to study the predictability of ocean conditions on seasonal timescales using a regional ocean model seasonal forecast system, J-SCOPE.  The candidate will work with Dr. Samantha Siedlecki.  The NOAA MAPP funded work aims to augment an existing forecast system to address the needs of the Dungeness crab fishery managers and stakeholders. This forecast system, JISAO’s Seasonal Coastal Ocean Prediction of the Ecosystem (J-SCOPE, features dynamical downscaling of regional ocean conditions in Washington and Oregon waters using a combination of a high-resolution regional model with biogeochemistry and forecasts from NOAA’s Climate Forecast System (CFS). The candidate will run simulations in the past (1997 to present) to determine whether forcing with a multi-model ensemble (North American Multi-Model Ensemble or NMME) reduces bias and better conveys uncertainty, relative to the previous efforts which relied on CFS alone. In addition, the candidate will help investigate mechanisms that drive predictability of ocean conditions in the region.


Completion of a Ph.D. in oceanography, or closely related area; and experience with model data and/or big data analysis.


Experience with the Regional Ocean Modeling System (ROMS), scientific writing, and programming in Matlab.


The postdoctoral position is for one year with the possibility of extension to two years.  The position offers a competitive salary with generous health benefits.  The position requires a federal background check in order to work with the federal computing resources associated with this work.


Please apply online using UConn Jobs, to upload a single PDF document that includes a cover letter outlining research experience and interests, a CV, and contact information for three professional references.  It is preferred that applications are received by January 5, 2018.   Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2018300)

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