Senior ocean modeler – Institute of Marine Research
4 weeks ago
The Institute of Marine Research (IMR) has an opening for a permanent position as a senior ocean modeler. The position is placed within the research group Oceanography and Climate, located in Bergen, Norway. The group currently counts 30 researchers, of which approximately half are part of the modelling team. The group is moving towards NEMO as the preferred ocean model for regional and basin-scale simulations. To help this transition and to strengthen the model group, we are seeking an experienced ocean modeler.
The work will be focused on developing and maintaining regional ocean numerical simulations for use in, among other things, regional climate downscaling and ecosystem modelling. The position will take on a pivotal role within the ocean modelling team in implementing NEMO as a new tool for ocean modelling activities at the institute.
Qualifications
We seek a motivated person with a proven track record and experience within ocean modeling, and that has the ability to work both independently and collaboratively within a team. We therefore ask the candidate to provide a thorough overview of past ocean numerical modelling experience.
The successful candidate must hold a doctoral degree and demonstrate academic competence beyond a PhD. Candidates who cannot document Norwegian research competence level 1110 or 1183 will be assessed by an evaluation committee as part of the recruiting process. Please find the rules governing competence assessment for 1110/1183 research scientist and guidelines for the evaluation committee and applicant here.
Furthermore, the candidate must demonstrate programming skills and experience with Fortran, as well as experience with analysis tools such as MATLAB, Python or similar, and be familiar with the use of Unix/Linux operating system.
Experience with NEMO will be strongly emphasized in the evaluation, but good general modelling skills may compensate. Further, experience with coupling ocean models with marine ecological applications is an advantage. The successful candidate should have good social skills, demonstrate good teamwork and communication abilities, the ability to generate, carry through, and publish scientific work, and show a general understanding of ocean dynamics and the ability to handle and interpret oceanographic data.
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