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Computer Science Postdoctoral Fellow-82988

Berkeley Lab’s Computational Research Division (CRD) has an immediate opening for a post-doctoral researcher in its Scientific Data Management Research Group (SDM) to analyze storage systems and parallel I/O performance and to develop novel object-based storage technologies for upcoming exascale era.

The SDM performs research in scientific data management and analysis for exascale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable scientific discoveries through the design, analysis, and development of extreme-scale data management technologies that allow scientists to access their data more efficiency. Members of SDM group work closely with application scientists throughout the DOE Office of Science community (e.g., climate change research, astronomy, astrophysics, fusion simulation, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility and other DOE Leadership Computing Facilities. Group members have access to leading-edge computing platforms. SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group. Specific areas of research being done by SDM group include: FastBit indexing technology, Storage Resource Management (SRM), scientific data formats, data access libraries, climate data management, high throughput network data transfers, data analysis and mining. 

Computational Science Postdoctoral Fellow-82932

The Scalable Solvers Group in the Computational Research Division at Lawrence Berkeley National Laboratory (LBNL) has an immediate opening for a postdoctoral fellow to develop advanced high performance algorithms for solving large-scale traffic modeling problems.

The candidate will participate in research projects to develop high-performance algorithms 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 from real data, development of new algorithms especially parallel algorithms for handling 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.

Postdoctoral Fellow - Computer Science Department-81939

The Computer Science (CS) 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 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.

Postdoctoral Fellow - Data Science and Technology Department-81938

The Data Science and Technology (DST) department in the Computational Research Division (crd.lbl.gov) 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/analytics; computer vision; visualization; user-interface design; usability; 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, and detecting blobs in fusion experiments while the data is in transit.

Postdoctoral Fellow - Applied Mathematics Department-81937

The Applied Mathematics Department in the Computational Research Division 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-81936

Berkeley Lab’s Computational Research Division (CRD) has an immediate opening for a post-doctoral researcher in its Scientific Data Management Research Group (SDM) to analyze storage systems and parallel I/O performance and to develop novel object-based storage technologies for upcoming exascale era. The SDM performs research in scientific data management and analysis for exascale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable scientific discoveries through the design, analysis, and development of extreme-scale data management technologies that allow scientists to access their data more efficiency. Members of SDM group work closely with application scientists throughout the DOE Office of Science community (e.g., climate change research, astronomy, astrophysics, fusion simulation, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility and other DOE Leadership Computing Facilities. Group members have access to leading-edge computing platforms. SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group. Specific areas of research being done by SDM group include: FastBit indexing technology, Storage Resource Management (SRM), scientific data formats, data access libraries, climate data management, high throughput network data transfers, data analysis and mining. Specific Responsibilities: Specific areas of research being done by SDM group include: FastBit indexing technology Storage Resource Management (SRM) Scientific data formats Data access libraries Climate data management High throughput network data transfers Data analysis and mining Required Qualifications: PhD degree in computer science, applied mathematics, statistics or a related technical field. Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team, and contribute to an active intellectual environment. Excellent written and oral communication. Additional Desired Qualifications: Storage systems and parallel I/O Proficiency and experience in programming languages such as C/C++ and Python; FORTRAN a plus Experience with HPC technologies: MPI, hdf5, threading, and other parallel computing concepts Experience developing scientific data algorithms and workflows Data mining in time-series data; mathematical modeling and analysis, visualization of data Proficiency with UNIX tools, computer systems and scientific computing in general Interest in applying algorithms to interpret scientific data

The Computational Science (CLS) 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 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/.

Computer Security and Systems Data Analysis Postdoctoral Researcher-81998

The Data Science and Technology (DST) department in the Computational Research Division has an immediate opening for a post-doctoral researcher to perform cutting edge analysis, including use of machine learning and/or graph-theoretic approaches in multiple domains. The position will work with data relating to security and HPC systems behavior in scientific computing environments, as well as analysis of security-related issues in cyber-physical system environments.

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=82988