Associate Scientific Engineering

Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.

Berkeley Lab’s Energy Geosciences Division has an opening for a Scientific Engineering Associate. This position offers an excellent environment for working with a highly skilled interdisciplinary team. LBNL is a renowned center of scientific expertise in the many facets of energy related fundamental and applied science. Researchers in the Energy Geosciences Division staff at LBNL work in a wide range of areas such as environmental remediation, nuclear waste disposal, geothermal systems, geologic carbon sequestration, and climate modeling.

* Design, develop and implement optimization algorithms coupled to computational multiphase flow models. * Develop and test reservoir management methods under uncertainty conditions in application to geological CO2 storage. * Coordinate technical activities with internal researchers. * Provide technical guidance to junior research staff. * Contribute to technical reports and peer-reviewed journal articles. * Support site-specific evaluation of environmental impact and optimization of fluid injection/extraction and storage for management, monitoring, field test design, and characterization of naturally heterogeneous formations using hydrogeologic and monitoring data.

* Bachelor’s degree or equivalent knowledge in hydrogeology, petroleum engineering, civil and environmental engineering, applied mathematics, physics, geology, or a related field and a minimum of 2 years work experience. * Experience in mathematical physics for applications to problems in physics of flow in porous media. * Proven experience in Fortran and C++ programming, as well as parallel computing. * Demonstrated experience in applying global optimization methods for subsurface management problems. * Demonstrated record of productivity in developing computer models. **Additional Desired Qualifications:** * Master’s degree or Ph.D in hydrogeology, petroleum engineering, civil and environmental engineering, applied mathematics, physics, geology, or a related field. * Experience in geological carbon sequestration. * Experience in adaptive or real-time management methods