Professor of “Data Science for Energy Engineering”

Updated: about 11 hours ago

We seek a candidate in the area of applying data science and applied mathematics towards designing advanced thermal energy systems and industrial processes. The candidate should have demonstrated expertise in one or more of the following areas: developing numerical methods for high-performance scientific computing, numerical linear algebra, fast algorithms, parallel computing, and machine learning with applications in complex non-linear dynamical engineering systems. Candidates with proven scholarship at the intersection of physical modeling with statistical inference will be given preference, including computation methodologies for uncertainty quantification, inverse problems, large-scale Bayesian computation, and optimal experimental design in complex physical systems.

The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemical Science, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division's quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on photovoltaics, super capacitors, porous materials, clean combustion, atmospheric modeling and other topics. 

PSE division invites applications for faculty position at Assistant and Associate Professor ranks.  Female candidates will be strongly encouraged to apply.


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