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See the following announcements:
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- Funded PhD Opportunity for Fall 2025 – Uncertainty Quantification in Regional-Scale Seismic Risk Assessment
- PhD Opportunity In Modeling of Coupled Lithospheric Deformation and Landscape Evolution - New Mexico Institute of Mining and Technology
On behalf of Maha Kenawy, Oklahoma State University
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Funded PhD Opportunity for Fall 2025 – Uncertainty Quantification in Regional-Scale Seismic Risk Assessment
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Dr. Maha Kenawy at Oklahoma State University is recruiting a PhD student for Fall 2025 to the Civil and Environmental Engineering Department. The research project is at the intersection of probabilistic seismic risk assessment, physics-based earthquake simulations, and uncertainty quantification. The minimum requirements of the position are a bachelor’s degree in civil engineering or related field, and competency in Python. Ideal candidates will have some experience with computational modeling tools. Candidates with a MSc degree are encouraged to apply.
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On behalf of John Naliboff, New Mexico Institute of Mining and Technology
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PhD Opportunity In Modeling of Coupled Lithospheric Deformation and Landscape Evolution - New Mexico Institute of Mining and Technology
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A fully funded four-year PhD opportunity is available in the Department of Earth and Environmental Science to investigate interactions between solid Earth and landscape evolution processes. The position is part of a larger NSF-funded collaborative effort to couple existing landscape evolution and geodynamic software packages, and use the new software elements to develop state-of-the-art multiphysics Earth system simulations. The graduate student will work in Dr. John Naliboff’s research group on various technical components of the software coupling and its application to problems including continental rift evolution, large-scale subduction dynamics, volcanic systems, and global deformation patterns. The position will involve close collaboration with project partners at multiple institutions, including attendance of annual conferences, project workshops, and hackathons.
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The position will require participation in collaborative activities that include software development, designing and conducting multiphysics simulations, use of high-performance computing platforms, and 4D data analysis and visualization. Candidates with experience in numerical modelling, data analysis, programming, and research are highly desired. Knowledge of solid Earth and landscape evolution processes is beneficial, but not necessarily required. As such, we encourage applications from students with backgrounds in computational geophysics, Earth surface processes, climate and hydrologic modeling, physics, applied mathematics, engineering, and computer science. A start date in Fall 2025 is preferred, but later start dates can be accommodated. To apply, please contact Dr. John Naliboff (john.naliboff@nmt.edu) for more information.
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