DOE Environmental Management; EMGFP Post Masters Fellow - Environmental Remediation Data Scientist

The Pacific Northwest National Laboratory is seeking a Post Masters Fellow for Environmental Remediation Data Science as part of the DOE Environmental Management Graduate Fellowship Program. This role involves working on cleanup efforts for legacy radioactive waste, particularly at the Hanford Site. Candidates must attend a Minority Serving Institution. The position is located in Lincoln, NE, and emphasizes collaboration and innovation in environmental science.
Position: DOE Environmental Management (EMGFP) Post Masters Fellow - Environmental Remediation Data Scientist ** Overview* * At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The Earth Systems Science Division, part of the Energy and Environment Directorate, provides leadership and solutions that advance Earth system opportunities for energy systems and national security. We are a multidisciplinary division connected by a shared commitment to innovate and collaborate towards solving complex problems in the dynamic Earth system. ** Responsibilities* * DOE's Office of Environmental Management Graduate Fellowship Program is seeking graduate fellows to work on some of the nation's greatest cleanup efforts. Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to collaboration and work-life balance. Every year, scores of dynamic, driven interns come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! The successful candidate will join other postdocs and graduate fellows as part of the Minority Serving Institutions Partnership Program (MSIPP). MSIPP is funded by the Department of Energy Office of Environmental Management (DOE-EM). DOE-EM is working to cleanup legacy radioactive waste found in soil, groundwater, and underground storage tanks. All research aligns with DOE-EM's mission to safely immobilize and cleanup environmental legacy waste, focusing on cleanup of the Hanford Site which is one of the most complex DOE sites due to hazardous comingled contaminates. For more information, go to https://(Use the "Apply for this Job" box below). . To qualify you must attend a Minority Serving Institution (MSI) (for your undergraduate or graduate degree). MSIs are institutions of higher education enrolling populations with significant percentages of undergraduate minority students. Don't know if your school qualifies? Ask us! Please email em.internships to find out more. We are seeking a motivated individual to join our EM Graduate Fellowship Program. Environmental remediation of legacy waste sites requires assessment of a wide range of environmental data types, spanning soil and groundwater sample analysis results, borehole geology, geophysical characterization, remediation system operational data, remote sending data, and more. It is critical to have suitable data management, processing, analysis, and visualization that can support communications and remediation decision making. Additionally, statistical, machine learning, and artificial intelligence (AI) methods are playing an ever-increasing roll in providing knowledge and guidance based on environmental data and literature about past remediation decisions and implementations. The selected candidate will work on projects related to environmental data processing, analysis methods, statistical modeling, data visualizations, and AI tool development. These projects aim to improve the…