Lead AI Research Engineer — Remote, Subsurface Reservoirs

The University of North Dakota's Energy & Environmental Research Center seeks a Principal Applied AI Research Engineer or Geoscientist to apply AI and analytics to subsurface energy challenges, including reservoir characterization, production forecasting, and CO2 or hydrogen storage. The role supports both remote and hybrid work arrangements. A bachelor’s in a related field and 5+ years of data science experience in oil and gas are required, with strong ML and programming skills.
We are looking to fill the Lead AI Research Engineer — Remote, Subsurface Reservoirs position at University of North Dakota in Grand Forks, ND, United States. This opportunity is part of our work in Engineering. The advertised compensation is 112.. We aim to respond to suitable candidates as soon as possible. Full responsibilities and requirements are described in the listing above.