Ocean Data Assimilation Postdoctoral Scholar

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 (OMG) at UCSC, which engages in research focused on the physical and biogeochemical modeling of the ocean using primarily the Regional Ocean Modeling System (ROMS). 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 JEDI (the Joint Effort for Data assimilation Integration). 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 position will require the postdoctoral scholar to consistently demonstrate strong organizational, technical and interpersonal skills, and 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 also critical.

Additional desired skills include the following: experience using ROMS; 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; an interest in gaining experience with JEDI.

Applicants with any of the following areas of experience are strongly encouraged to apply: knowledge of ocean data assimilation, particularly 4D-Var; ocean modelling experience, particularly using ROMS; experience using ROMS 4D-Var.

Ocean Sciences Department: https://science.ucsc.edu/department/ocea/

PhD (or equivalent foreign degree) in physical oceanography, applied mathematics or a related discipline.

• 3-5 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.

*All letters will be treated as confidential per University of California policy and California state law. For any reference letter provided via a third party (i.e., dossier service, career center), direct the author to UCSC's confidentiality statement at http://apo.ucsc.edu/confstm.htm

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. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the University's equal employment opportunity policies may be directed to the Equity and Equal Protection Office at the University of California, Santa Cruz, CA 95064 or by email at equity@ucsc.edu.

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