A postdoctoral position is available in combining density functional theory (DFT) calculations and machine learning (ML) for the high-throughput screening of halide perovskites. This work is part of a DOE-funded effort and will be carried out in Dr. Christopher Sutton’s group at the University of South Carolina (http://www.suttonlabsc.com) in close collaboration with researchers at UC Boulder and NREL.

 

The position starts as soon as possible and will be renewable up to two years (subject to satisfactory performance). The ideal candidate will be experienced in atomistic simulations and/or ML. Excellent oral and written communication skills and the ability to work well in a collaborative research environment are essential.

 

Interested candidates should send a brief cover letter, CV, and contact information of two references as a single PDF file to: [email protected].