Work in the Geological Porous Media Group
Our group is very diverse, current students are enrolled in PhD programs in Geological Sciences (this includes Geophysics), Petroleum and Geosystems Engineering, and Computational Science Engineering and Mathematics and they have undergraduate degrees in the Geosciences, Engineering, and Physics. All have a quantitative background and share an interest in mathematical modeling and numerical simulation of complex geosystems and the dynamics of flow in porous media. The new Graduate Portfolio Program in Computational Geosciences (starting Fall 2013) forms the backbone of the graduate education in our group. This new program is a first-of-a-kind interdisciplinary graduate program designed to educate tomorrow’s leaders in computational and quantitative geosciences. Dr. Hesse teaches a sequence of graduate courses focussed on porous media that tightly integrate mathematical modeling and numerical simulation and provide the background required for advanced graduate work.
Graduate students are generally expected identify an important problem in the Earth and environmental sciences, develop appropriate and most likely new mathematical models. The course work will provide students with the skills to analyze their model and to develop appropriate numerical solutions. The group has a strong esprit de corps and graduate students share skills and help each other with problem shooting.
The Jackson School of Geosciences provides competitive Postdoctoral Fellowships for outstanding young scientists in all areas of the Geosciences. Applicants with independent funding can contact Marc Hesse directly.
- Postdoc position in computational Geoscience is available:
The Geological Porous Media Group in the Jackson School of Geosciences and the Center for Computational Geoscience and Optimization in the Institute of Computational Engineering and Sciences at the University of Texas at Austin are seeking applications from enthusiastic young researchers for a postdoctoral fellowship in computational geoscience. The ideal candidate will have significant experience developing PDE-based simulations for physical applications and in solving inverse problems via PDE-constrained optimization or Bayesian methods. Experience in modeling subsurface flow is desirable but not required.
The project aims to develop a reduced-order modeling approach, based on vertical integration of the governing equations, to characterize the uncertainty in predictions of the long-term evolution of large-scale geological carbon dioxide storage. In particular, the project aims to constrain the emplacement history of the Bravo Dome natural CO$_2$ reservoir from a rich data set of its current state. The emphasis of the postdoctoral position is on development of appropriate reduced-order forward models and the development of a joint-inversion of various data sets coupled with the flow dynamics.
The position is part of the Center of Frontiers in Subsurface Energy Security that was funded in 2014 as part of the Energy Frontiers Research Centers by the US Department of Energy. The position is fully funded for 4 years and we expect the candidate to start by the summer 2015. Salary and benefits for the position are competitive and will be determined by the University commensurate with qualifications and experience.
Interested applicants should send (1) a curriculum vitae including a complete list of publications, (2) names of three references including email addresses, and (3) pdfs/links for up to three relevant papers to Marc Hesse [pdf].
Current PhD Opportunities
The group currently has no funded PhD positions available for admission in Fall 2014. If you have your own funding or need help applying for a graduate fellowship to work in our group please contact Marc Hesse.
Security sensitive; conviction verification conducted on applicant selected. The University of Texas at Austin is an Affirmative Action / Equal Opportunity Employer.
Posted – 05/10/2013