Job Title: Multiple Postdoc Positions in UQ and Machine Learning

Location of Position: Boulder, Colorado

Employing Institution: University of Colorado, Boulder

Description of Position: The appointees will conduct fundamental research in broad areas of data-driven modeling, uncertainty quantification, and machine learning, with a particular focus on multi-fidelity modeling, generative modeling, transfer learning, deep neural networks, and inverse problems. The positions are for the duration of one year with the possibility of extension to three years. The appointee will be working with Prof. Alireza Doostan and a team of experts on large-scale, multi-physics, and multi-scale modeling of complex systems and their HPC implementations.

Minimum Qualifications: Applicants must have a Ph.D. in areas related to computational sciences or engineering and at least one of the aforementioned areas.

Application Procedure: The interested candidates should submit a CV, a brief (max one page) statement of research interests, and contact information of two references to Prof. Doostan ([email protected]). Questions about these positions may be directed to Prof. Doostan.

Contact Information: [email protected]; [email protected]

Closing Date: 09/22/2020