Deputy Group Leader – Computational Earth Science Group
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Deputy Group Leader (DGL) will report to the Computational Earth Science (EES-16) Group Leader and will be responsible for scientific leadership, management, operation and administration of EES-16. The Computational Earth Science Group (EES-16) includes two teams: Subsurface Flow and Transport (SFT) and Applied Terrestrial Energy and Atmospheric Modeling (ATEAM). These teams combine basic and applied research to develop novel and integrated modeling and analysis platforms, including high-performance modeling, to address practical problems for federal and industrial agencies. Projects within EES-16 address challenges in clean energy, carbon sequestration, sustainable unconventional fossil resource extraction, subsurface environmental remediation and management, surface and subsurface hydrology, geologic repositories, atmospheric and ecological processes, wildfire impacts, geothermal energy and national security challenges.
- Bachelor’s degree in a science or engineering field or equivalent combination of education and experience; Ph.D. in Earth Science, Applied Mathematics, Engineering, Computer Science, Hydrology, Geography, Physics or related field preferred
- Experience recruiting, mentoring and assessing performance/ supervising technical work of scientific researchers
- Experience implementing institutional policies and procedures as they relate to personnel management, budget oversight, safety and security
- Experience building collaborative projects and relationships across organizational boundaries
- Experience proposing, developing and sustaining research programs in areas relevant to computational earth science
- Demonstrated record of excellence and achievement in technical areas relevant to computational earth science evidenced by peer-reviewed publications, reports, seminars,
- Ability to obtain DOE Q clearance (usually requires U.S. citizenship)
- Experience interfacing and managing relationships with external sponsoring organizations (DOE, NNSA, DoD, DHS, Industry, etc.)
- Experience in conflict resolution and in dealing with human performance issues
- Experience with high-performance computing (HPC) or with projects that utilize HPC
- Experience with, and utilization of, uncertainty quantification, decision analysis and machine learning
- Experience conceiving, developing, leading and executing substantial computational modeling and simulation projects to address scientific questions relevant to EES-16
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