The following jobs have been advertised to the SIAG/LA mailing list at the request of SIAG/LA members. If no closing date is included in the request, the default is two months after the original posting. If you are a job-seeker, you may also be interested in the SIAM Job Board or NA Digest. SIAG-LA members may submit job ads via a web form.
The Scalable Algorithms department at Sandia National Labs has openings for 1-2 postdocs in linear solvers and high-performance computing. The selected candidate(s) will conduct innovative research and code development in the following areas: high performance numerical linear algebra, asynchronous parallel iterative solvers, hierarchical matrix solvers, and sparse direct methods.
For more information and to apply, go to http://www.sandia.gov/careers/ps-forward.html and search for 654859 or “high-performance computing”.
The Scalable Solvers Group in the Computational Research Division at Lawrence Berkeley National Laboratory has an immediate opening for a postdoctoral fellow in large-scale traffic modeling. The candidate will participate in research projects to develop algorithms and software to predict near-future traffic flow from real-time measurements, and to help traffic management centers to improve performance of road networks and reduce congestion. The projects will focus on the problem of identifying trends in traffic patterns measured either on the freeway, on arterials, or both. Computational challenges include issues of model calibration, confidence, size and fidelity, real-time analysis, and model coupling. The research activities will include evaluation of existing algorithms using real data, development of new algorithms especially parallel algorithms for handing larger datasets, and integration of the new algorithms into various simulation models, at both research level and production level. Deliverables will include both software distributions as well as publications targeted at top-tier research conferences and journals.
Please follow the link below to see more details and to apply online: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=82932