A fully funded PhD position in digital subsurface characterization within the Center for Underground at Colorado School of Mines. The position is set to begin in January 2026 in Golden, Colorado.
The PhD research involves: (1) digital 3D ground model development (geotechnical/geological) from sparse data (desktop study, site reconnaissance, boreholes & associated lab/in-situ test results, and geophysics/remote sensing) using advances in data science, spatial statistics and AI; (2) the application of uncertainty analysis with value of information and other methodologies to optimally drive site investigation design; (3) the integration of surface geological data with subsurface borehole and geophysics data to develop uncertainty-quantifiable 3D ground models; (4) advancing quantifiable risk models for geotechnical construction, e.g., tunnels, dams, caverns and excavations both apriori and during construction. Current and upcoming geoconstruction project sites will be integral to the research.
Qualified applicants should have:
Undergraduate and/or MSc-level background in civil-geotechnical engineering or related, e.g., geological engineering, geophysics; basic understanding of and interest in data science, statistics and AI; experience with and interest in Python and Python-related programming; willingness and interest in real tunnel, dam, cavern and excavation projects including examining project data and interacting with project personnel; and the ability to work effectively as part of a multi-disciplinary team, plus the motivation and discipline to carry out self-directed research.
To be considered for this position, please send a detailed CV, a cover email detailing your background and how it will qualifies you for this opportunity, and contact information for two professional references to Professor Mike Mooney (mmooney@mines.edu). The review of applications will begin Oct 15, 2024 and will continue until the position is filled.
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