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Postdoctoral Researchers

Postdoctoral Fellow - Applied Mathematics Department-83301

The Applied Mathematics Department in the Computational Research Division (crd.lbl.gov) is looking for talented and motivated postdoctoral fellows to become part of our team working on exciting research projects in applied mathematics and scientific computing. Researchers in applied mathematics and scientific computing, or any relevant discipline, who have received their Ph.D. within the last three years are encouraged to apply. The successful applicant will receive a competitive salary and excellent benefits.

The Applied Mathematics Department develops advanced mathematical models and efficient computational algorithms for solving a broad range of scientific and engineering problems of interest to the Department of Energy (DOE), including in particular those related to energy and environment. Some of the current scientific and engineering areas include accelerator physics, astrophysics, climate, combustion, and seismic imaging. Many of the algorithms have scalable implementations that are targeted at current and next-generation massively parallel computer architectures, such as those available at the DOE National Energy Research Scientific Computing Center. Some of the implementations are also available in the form of the user-callable software frameworks and libraries. More details on the activities and projects in the Applied Mathematics Department can be found at http://crd.lbl.gov/departments/applied-mathematics/.

 

Postdoctoral Fellow - Computational Science Department-83299

The Computational Science (CLS) Department in the Computational Research Division is looking for talented and motivated postdoctoral fellows to become part of our team working on exciting science research projects. Researchers in computer and data science or any relevant computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. The successful applicant will receive a competitive salary and excellent benefits.

The CLS Department performs innovative research that enhances high performance computational science application codes used in scientific discovery across a broad range of scientific disciplines. Members of the Department collaborate broadly across Berkeley Lab, the DOE National Laboratory community, and with academic, government and industrial institutions internationally to enable breakthrough scientific discoveries that make essential use of high-performance computing capabilities. Current research areas include data management and analytics for biosciences, development of high-performance computing software for chemistry and material science, modeling and analysis of extreme weather and climate events, developing and deploying simulation and data analysis tools for cosmology, and delivering infrastructures for scientific data exploration in experimental physics and X-ray science. More details on projects can be found at crd.lbl.gov/departments/computational-science/.

Postdoctoral Fellow - Computer Science Department-83302

The Computer Science (CS) Department in the Computational Research Division is looking for talented and motivated postdoctoral fellows to become part of our team working on exciting science research projects. Researchers in computer and data science or any relevant computational science discipline who have received their Ph.D. within the last three years are encouraged to apply. The successful applicant will receive a competitive salary and excellent benefits.

The CS Department performs innovative research that enhances high performance computational science application codes used in scientific discovery across a broad range of scientific disciplines. Members of the Department collaborate broadly across Berkeley Lab, the DOE National Laboratory community, and with academic, government and industrial institutions internationally to enable breakthrough scientific discoveries that make essential use of high-performance computing capabilities.  Current research areas include advanced programming systems, parallel languages, computer architecture, advanced operating systems and runtimes, benchmarking and performance modeling, performance optimization, and advanced algorithm development. More details on projects can be found on http://crd.lbl.gov/departments/computer-science/.

 

Postdoctoral Fellow - Data Science and Technology Department-83304

The Data Science and Technology (DST) department in the Computational Research Division is looking for talented and motivated post-doctoral researchers to be part of our team focused on conceiving, developing, and applying leading-edge, innovative methods for solving data-intensive science problems. The DST department projects span a diverse set of activities, ranging from data management; data movement; statistical, topological, and geometric analysis; computer vision; visualization; user-interface design; usability; and end-to-end data-intensive system architecture and deployment. Our program activities range from basic and applied research, to deployment of software tools and systems. This position is a unique opportunity to engage in leading-edge research and development activities as part of a multidisciplinary team that has direct engagements with active science projects.

Our collaborators are from across the science disciplines, ranging from theoretical astrophysicists to computational and experimental bioscientists. The capabilities we build are driven by the needs of contemporary computational, observational, and experimental science projects central to the mission of the DOE Office of Science. Our portfolio includes projects in basic and applied research, advanced software development, and deployment to the scientific community. The science challenges we are helping to understand include: understanding carbon interactions between the atmosphere and the biome, interpreting results from trillion-particle space weather simulations, detecting extreme weather events in climate models, locating halo particles in accelerator models, understanding organism function, detecting blobs in fusion experiments while the data is in transit, and understanding ways to make the energy grid more resilient.