Remote Hydrologist: AI-Driven Subsurface Modeling

U.S. Geological Survey (USGS); Reston (VA); Hybrid; USD 102,000 - 158,000; Full time

Job summary

U.S. Geological Survey (USGS) in Reston, VA is seeking a scientist at the GS-12/13 level to conduct research in subsurface hydrology and multiphase flow, develop numerical simulations of fluid flow in geologic formations, and translate data into predictive models.

The role emphasizes collaboration, reporting, and presenting findings at scientific venues. The position supports using AI/ML to enhance workflows and may involve travel and telework with supervisor approval.

Qualifications

• Experience with subsurface hydrology or multiphase flow concepts.
• Ability to design and run numerical simulations of fluid flow in geologic formations.
• Strong collaboration and communication skills for reports and presentations.
• Knowledge of AI/ML methods to enhance modeling workflows.

Responsibilities

• Conduct fundamental and applied research in subsurface hydrology and related geoscience disciplines.
• Design, develop, and execute numerical simulations of single- and multiphase fluid flow in geological formations.
• Translate field data into conceptual and computational models, accounting for uncertainties.
• Collaborate within multidisciplinary teams to communicate results and prepare reports for scientific audiences.
• Apply AI and ML methods to improve numerical modeling and integrate computational tools.

Job description

U.S. Geological Survey (USGS) in Reston, VA is seeking a scientist at the GS-12/13 level to conduct research in subsurface hydrology and multiphase flow, develop numerical simulations of fluid flow in geologic formations, and translate data into predictive models.

The role emphasizes collaboration, reporting, and presenting findings at scientific venues. The position supports using AI/ML to enhance workflows and may involve travel and telework with supervisor approval.