Postdoctoral Research Associate in Machine Learning and Environmental Management

5 days ago


Los Alamos, New Mexico, United States Los Alamos National Security, LLC Full time
Job Summary

We are seeking a highly motivated 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.
  • Collaborate with scientists in the group, other LANL groups, and external industrial and academic partners.
  • Publish results in high-impact peer-reviewed journals and present work at conferences.
Requirements
  • Ph.D. in a STEM field within the last five years.
  • Background in modeling and simulation of subsurface systems.
  • Expertise in machine learning, multiscale modeling, contaminant fate and transport, or risk assessment and uncertainty quantification.
  • Excellent written and communication skills.
  • Ability to work and communicate effectively in a diverse team environment.
Preferred Qualifications
  • Experience with multiscale modeling of subsurface systems.
  • Experience with advanced machine learning techniques.
  • Experience with contaminant fate and transport.
  • Proficiency in programming languages such as Python and Julia.
Work Environment

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Benefits

The Laboratory offers a competitive salary, excellent benefits package, and opportunities for professional growth and development.



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