The SUNCAT Center for Interface Science and Catalysis at SLAC National Laboratory / Stanford University invites applications for a postdoctoral position in computational catalysis science. The successful candidate will study the dynamic behavior of fluxional catalysts. In this project, first-principles catalysis simulations, analytical models, and active-learning AI techniques will be employed to develop a theoretical understanding of the influence of fluxionality in catalytic clusters on activity and selectivity.

Requirements:
- A PhD in physics, chemistry, materials science, or related field
- Experience in developing models of surface catalytic reactions and their simulation using density functional theory
- Strong programming and data analysis skills
- Excellent written and verbal communication skills
- Experience in active-learning techniques and in training graph neural networks is a plus

The position is open in February 2022, and the starting date is negotiable. Review of applications begins immediately. For full consideration, application by January 10, 2022 is advised. The position is initially for one year with possibility of extension for another year based on performance and mutual consent.

Interested applicants are encouraged to apply via email to
Dr. Johannes Voss [email protected]
Please include a letter of motivation, C.V. with list of publications, and the contact information for two to three academic references.

https://web.stanford.edu/group/suncat/vossgroup/
http://suncat.stanford.edu/