The Climate, Ocean, and Sea Ice Modeling Team (COSIM) at Los Alamos National Laboratory is advertising a post-doctoral position in advection algorithms for climate models. Please forward this announcement to potential applicants. The job posting and application is at: https://jobszp1.lanl.gov:443/OA_HTML/OA.jsp?OAFunc=IRC_VIS_VAC_DISPLAY&OAMC=R&p_svid=35026&p_spid=1615185&p_lang_code=US The Computational Physics Group, CCS-2, seeks a postdoctoral researcher in the areas of computational fluid dynamics, numerical methods, and ocean model development. The position is within the Climate, Ocean, and Sea Ice Modeling Team (COSIM), which develops model components for climate change research on high-performance computing platforms. The postdoctoral research topic is the implementation of high-order advection schemes within the Model for Prediction Across Scales (MPAS), a newly developed unstructured-mesh climate model framework that includes ocean, atmosphere, sea-ice, and land-ice components. Responsibilities include: · The design, coding, and testing of advection algorithms on unstructured meshes. This involves high-order reconstruction of variables on arbitrarily shaped polygon cells; · Preservation of monotonicity and local bounds through limiters; · And ensuring computational efficiency when scaling to thousands of cores. · The position will include validation and further applications in ocean, sea-ice, and ocean bio-geo-chemical model components. A successful candidate is expected to work effectively with their mentors in the following areas: · Computational methods and algorithms research; · Documentation and publication in peer-reviewed journals; · Climate model design and development within a software team environment; · Improving code efficiency for high-performance computers on modern architectures; · Ocean model simulation and data analysis. Minimum Job Requirements · Expertise in computational fluid dynamics, algorithm design, and scientific model development; · Ability to publish in peer-reviewed literature in computational physics; · Excellent interpersonal, written, and oral communication skills; · Advanced and extensive knowledge of general numerical algorithms; · Strong ability to analyze and provide creative solutions for technically complex problems; · Programming experience with C, C++, or Fortran for scientific applications. Desired Skills · Advanced knowledge and experience with high-order discretization and advection methods; · Experience with parallel programming; · Experience with unstructured-mesh CFD models; · Experience in geophysical fluid dynamics, climate model components, or fluid dynamics simulations. Education: PhD in related field completed within the past five years or soon to be completed. Notes to Applicants: In addition to applying on-line, interested candidates should send their resumes including a brief description of their research interests to Rob Lowrie at [email protected], Mark Petersen at [email protected] or Matthew Hecht at [email protected].
Posted on: Tue, 02 Sep 2014 15:43:43 +0000
Trending Topics
Recently Viewed Topics
© 2015