A postdoctoral or more senior researcher position is available in the Car group at the Chemistry Department of Princeton University to conduct computational research on catalysis in the context of a University-Industry collaboration. More specifically, the project will use advanced molecular dynamics simulation tools combining machine learning, density functional, and ab-initio molecular dynamics approaches to model catalytic processes, in gas and liquid phase, at metallic nanoparticles supported by an oxide substrate.

Interaction with faculty, postdoc and student members of the Computational Chemical Science Center: Chemistry in Solution and at Interfaces (https://ccsc.princeton.edu) will be encouraged. Qualified candidates should have a Ph. D. in chemistry, physics, engineering, applied mathematics, and related disciplines, with a strong background in theory and advanced computational methods in statistical mechanics and electronic structure theory.   

The initial appointment is for one year, with possible renewals for up to three years, contingent upon satisfactory performance. The position is subject to Princeton University background check policy.  

Applicants must apply online at https://www.princeton.edu/acad-positions/position/28263 and submit a cover letter, CV, statement of interest, and contact information for up to three references by November 30, 2022, 11:59 p.m. EST. The final selection of the short-listed candidates will be made shortly after that via personal interviews.

Princeton University is an Equal Opportunity/Affirmative Action Employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

Requisition No: D-23-CHM-00006