Postdoctoral Research Associate in Machine Learning and Environmental Management

2 weeks ago


Los Alamos, New Mexico, United States Los Alamos National Security, LLC Full time
About the Position

We are seeking a highly motivated and talented postdoctoral research associate to join our team at the Los Alamos National Laboratory. The successful candidate will work on projects related to energy transition and environmental management, leveraging machine learning techniques to revolutionize environmental management practices and subsurface modeling.

Key Responsibilities
  • Optimize long-term monitoring strategies and interpret complex environmental data using machine learning techniques.
  • Leverage historical groundwater monitoring data and spatially integrative geophysical methods to inform environmental management decisions.
  • Collaborate with scientists in the Energy and Natural Resources Security Group and other LANL groups to advance our understanding of energy and environmental security.
  • Publish results in high-impact peer-reviewed journals and present work at conferences.
Requirements
  • Ph.D. in a relevant field, such as environmental science, earth sciences, or a related field.
  • Background in modeling and simulation of subsurface systems, with expertise in machine learning, multiscale modeling, contaminant fate and transport, or risk assessment and uncertainty quantification.
  • Excellent written and communication skills, as demonstrated by a record of peer-reviewed publications and oral presentations at conferences and meetings.
  • Ability to work and communicate effectively in a diverse team environment.
What We Offer

The successful candidate will join a dynamic and interdisciplinary team at the Los Alamos National Laboratory, with opportunities for collaboration, professional growth, and contributions to cutting-edge research. We offer a competitive salary, excellent benefits, and a unique opportunity to shape the future of energy sustainability and environmental stewardship.



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