Oak Ridge Institute for Science and Education ยท 3 months ago
Machine Learning Applications for Subsurface Characterization to Support Geologic Storage of CO2
Morgantown, WV
Internship
Onsite
Intern, Senior LevelThe Oak Ridge Institute for Science and Education is seeking a faculty collaborator to engage in projects with the National Energy Technology Laboratory (NETL) focused on Science-informed Machine Learning for subsurface applications. The role involves collaborating on the SMART Initiative to improve tools for carbon storage site management through machine learning and real-time data visualization.
Government Administration
No H1B
Responsibilities
Collaborate with NETL principal investigators on research that is mutually beneficial
Connect their academic institution and students with NETL through various activities
Engage in projects related to Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications
Support the objectives of the SMART initiative by improving tools developed under SMART or developing complementary tools based on Machine Learning for subsurface applications
Qualification
Required
Applicants must be a full-time regular permanent faculty member at an accredited college/university with a research interest in NETL core R&D areas
PhD degree in Engineering, Mathematics, Geological Sciences, or a related field
Experience in science-informed machine learning (i.e., physics-informed machine learning) related to Geologic Storage of CO2
Experience in applications of machine learning related to Geologic Storage of CO2
Citizenship: LPR or U.S. Citizen
Degree: Master's Degree or Doctoral Degree
Company
Oak Ridge Institute for Science and Education
The Oak Ridge Institute for Science and Education is a U.S.
Founded in 1992
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase