Transforming Higher Education for a Sustainable Tomorrow

Department of Energy Resources Engineering, Stanford University
Computational Optimization for Energy Industry Applications
The Stanford Smart Fields Consortium, an interdisciplinary affiliates program within the Energy Resources Engineering Department, is seeking an applied mathematician, engineer or computer scientist with a strong background in the computational optimization of complex models described by systems of PDEs.
The position involves research, coordination and technical management of projects on the development and application of optimization algorithms within energy-related areas. Existing consortium projects include optimization of oil field development, optimization of oil field and carbon storage operations, inverse problems, and reduced-order modeling (for a more complete list of projects, ) .
The candidate must have a Ph.D. degree in applied mathematics, engineering, computer sciences, or a closely related field. Previous experience on the development and use of optimization codes for PDE-based models, ideally within the context of subsurface flow applications, together with strong communication and organizational skills, is highly desirable. Some travel to affiliate companies, universities and conferences will be required. Initial placement (at the post-doc or research associate level) will be based on the candidate’s prior 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)copies/links of up to five relevant papers to:
Dr. David Echeverria Ciaurri
Department of Energy Resources Engineering, Stanford University
This search will proceed until a suitable candidate is selected. Applications will be reviewed beginning on October 1, 2010. Please see for information on the Department of Energy Resources Engineering at Stanford.

Stanford University has a strong institutional commitment to the principle of diversity. In that spirit, we particularly encourage applications from women, members of ethnic minorities, and individuals with disabilities.

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