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Haoming Ma

2 months ago

Fully Funded PhD, MSc, and Postdoctoral Positions in Applied AI for Geo-Energy System Modeling and Analysis University of Wyoming in United States

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

Multiple fully funded positions are available for PhD students, MSc students, and postdoctoral researchers.

Country flag

Country

United States

University

University of Wyoming

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Keywords

Computer Science
Geology
Environmental Science
Chemical Engineering
Petroleum Engineering
Energy Engineering
Earth Science
Life Cycle Assessment
Techno-economic Analysis
ML

About this position

Haoming Ma, Assistant Professor at the University of Wyoming, is building a new research group and recruiting fully funded PhD students, MSc students, and postdoctoral researchers.

The group will work on Applied AI for Geo-Energy System Modeling and Analysis, with applications in subsurface energy and low-carbon energy systems. Research directions include reservoir simulation, subsurface modeling, process modeling and simulation, techno-economic analysis (TEA), life-cycle assessment (LCA), and ML/AI for energy system optimization.

Students and researchers from petroleum engineering, chemical engineering, energy engineering, geoscience, computer science, or related disciplines are encouraged to apply, especially those with experience or a strong background in the listed areas.

To express interest, send a CV/resume and a brief description of your research interests to [email protected]. No formal deadline is stated in the post.

Funding details

Multiple fully funded positions are available for PhD students, MSc students, and postdoctoral researchers.

What's required

Applicants from petroleum engineering, chemical engineering, energy engineering, geoscience, computer science, or related disciplines are welcome. Candidates should have experience or a strong background in one or more of the following: reservoir simulation and subsurface modeling, process modeling and simulation, techno-economic analysis (TEA), life-cycle assessment (LCA), or ML/AI for energy system optimization.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Hydrogeology

Energy Engineering

Fluid Flow In Porous Media

Flow In Porous Media

Multiphase Flows