What are the responsibilities and job description for the Ocean Data Assimilation Postdoctoral Scholar position at University of California - Santa Cruz?
Open date: March 20, 2023
Most recent review date: Wednesday, Apr 19, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Mar 19, 2024 at 11:59pm (Pacific Time)
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.
Professor Andrew Moore in the Ocean Sciences Department at the University of California Santa Cruz (UCSC) invites applications for the position Ocean Data Assimilation Postdoctoral Scholar.
The postdoctoral scholar will join the Ocean Modeling Group at UCSC. The Ocean Modeling Group (OMG) engages in research focused on the physical and biogeochemical modeling of the ocean using primarily the Regional Ocean Modeling System (ROMS), and the OMG is a recognized leader in regional ocean data assimilation and ocean prediction.
The appointee will work on a collaborative NOAA funded project involving researchers at UCSC, Rutgers University (RU), and North Carolina State University (NCSU). The goal of the project is to develop a prototype ocean analysis-forecast system for the U.S. east coast extending from the Gulf of Maine to the Caribbean Sea. The resulting East Coast Community Ocean Forecast System (ECCOFS) will initially be based on the ROMS 4-dimensional variational (4D-Var) data assimilation system, and it is expected that ECCOFS will eventually be transitioned to operational use within the NOAA National Ocean Service (NOS) where it will function in conjunction with the Joint Effort for Data assimilation Integration (JEDI ). A particular focus of the work at UCSC will be the use of multi-grid methods and mixed precision approaches to 4D-Var data assimilation within the ROMS ECCOFS environment. The appointee will be expected to conduct original research as part of this collaborative NOAA funded project. The successful applicant should have experience in ocean modeling, possess strong organizational, technical and interpersonal skills, and will be expected to work closely with other scientists and graduate students at UCSC, RU and NCSU. Excellent communications skills, and the ability to work collaboratively with individuals having diverse skill sets and backgrounds are therefore critical.
Experience in ocean modeling is essential. Additional desired skills include experience using ROMS; knowledge of and/or experience in ocean data assimilation, particularly 4D-Var and ROMS 4DVar; familiarity with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; and an interest in gaining experience with JEDI.
Ocean Sciences Department: https://oceansci.ucsc.edu/
- PhD (or equivalent foreign degree) in physical oceanography, applied mathematics or a related field.
- Experience in ocean modeling.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Please provide a statement of your current research interests and experience as they relate to this position.
- 3 required (contact information only)
Applicants must provide the names and contact information of their references. The hiring unit will request confidential letters* from the references of those applicants who are under serious consideration. Note that your references, or dossier service, will submit their confidential letters directly to the UC Recruit System.
Help contact: ammoore@ucsc.edu
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Salary : $60,000 - $71,952