Lawrence Berkeley National Laboratory: Postdoc Fellow Positions (3)

From SIAG-CSE

Whether running trillions of calculations on a supercomputer or visualizing and analyzing massive datasets, scientists today rely on advances in computer science, mathematics, and computational science, as well as large-scale computing and networking facilities, to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab's Computing Sciences organization researches, develops, and deploys new tools and technologies to meet these needs and to advance research in such areas as global climate change, combustion, fusion energy, nanotechnology, biology, and astrophysics.

If you are looking to be part of something great, join our team! Currently, we have the following postdoc opportunities:

COMPUTATIONAL SCIENCE POSTDOC FELLOW http://jobs.lbl.gov/LBNLCareers/details.asp?jid=23380&p=1

Duties: The Scientific Computing Group has an immediate opening for a postdoctoral fellow to work on the development of algorithms and their application to large-scale computational science problems that are relevant to DOE and LBNL. The research activities will include the development of computational algorithms on high performance computers for scientific applications, such as the analysis of the electric power grid and materials simulations for carbon capture. The current focus of the computational algorithms is on optimization and discrete and combinatorial methods.

Qualifications Required -Ph.D. in Computational or Applied Mathematics, Computer Science, or Computational Science within the last 3 years is required, with a strong background in computational mathematics. Some knowledge of optimization, discrete mathematics and physics or chemistry is desirable. The successful candidate should be able to program in C++ and Fortran, and should have experience in parallel computing and MPI. Excellent communication skills are essential.

POSTDOC FELLOW http://jobs.lbl.gov/LBNLCareers/details.asp?jid=22862&p=1

Berkeley Lab has several openings for postdoctoral fellows in the NERSC Division to address the challenges of petascale computing on new multicore architectures. The fellows will work with high-profile applications in the areas of bioscience, fusion, climate and material science as well as in the development of scalable algorithms and novel language implementations for modern petascale systems. The fellows will have access to leading edge computational platforms as well as prototypes of experimental systems and close interaction with DOE Office of Science Principal Investigators who are receiving significant allocations of high-end computer time under the ASCR Leadership Computing Challenge. Interaction with faculty and students of the University of California, Berkeley and other major research universities is available depending on the specific project. The fellows will have the opportunity to gain experience in the NERSC production environment facility and practical knowledge of the skills necessary for deployment of large-scale multi-user hardware and software.

Duties The fellow will participate in research projects to develop, analyze, and optimize performance of HPC applications and their run-time environment. This project may involve several of the following activities: analysis and optimization of parallel application programs; benchmarking these codes on systems from single CPUs to large scale HPC systems; the development of improved algorithms for multi-core systems; research in a specific computational application domain; publication and dissemination of these research activities through refereed publications and conference presentations.

Qualifications Required: PhD degree in computer science, computational science, applied mathematics or a related scientific/engineering application domain area is required. Excellent written and oral communication skills are required. Demonstrated ability to work independently, work collaboratively in an interdisciplinary team, and contribute to an active intellectual environment. Experience with code development in a UNIX/Linux - based environment. Desired: Experience in one or more of the following areas: (1) High-performance computing, (2) Domain science expertise relevant to biosciences, climate, fusion, or similar application fields, (3) Experience tuning and debugging large science applications, (4) Advanced HPC languages and methods (PGAS, CUDA, OpenCL, etc.).

COMPUTER SCI POSTDOC FELLOW http://jobs.lbl.gov/LBNLCareers/details.asp?jid=22587&p=2

Duties The candidate will participate in research projects to develop, analyze, and optimize performance of accelerator modeling codes on HPC computer systems and applications. This project will involve some of the following activities: analysis and optimization of serial and parallel application programs; benchmarking these codes on systems from single cores to large scale HPC systems; assisting the development of auto-tuning software components of interest to this project; assisting domain scientists in developing application codes.

Qualifications Required: PhD degree in computer science, computational science or a related technical field is required. Excellent written and oral communication. Demonstrated ability to work independently, work collaboratively in an interdisciplinary team, and contribute to an active intellectual environment. Experience in: (1) high performance computing; (2) computer system performance analysis; and (3) performance analysis, modeling and benchmarking. Desired: Experience in: (1) Fortran90; (2) particle-in-cell methods; (3) scientific computing in general.

HOW TO APPLY: For complete job description and to apply, please visit the urls above. For a complete list of CS job listings, please visit http://jobs.lbl.gov. Berkeley Lab is an AA/EOE committed to the development of a diverse workforce.

For more information, please contact Bernadette Cu-Todd at BCu-Todd@lbl.gov