Job Description

Princeton University: Department of Chemical and Biological Engineering
Location: Princeton, NJ

The Graves Research Group at Princeton University (https://graves.princeton.edu/) is searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs). The candidate should have experience in conducting MD simulations for non-equilibrium plasma-surface interactions, as well as in the development and exploitation of MLIPs. Applications will focus on plasma processing for quantum and microelectronic device nanofabrication. Applicants must have (or expect to have at time of appointment) a Ph.D. in chemical engineering, physics, chemistry, or materials science.
This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate.

This position is for one year with the possibility of renewal pending satisfactory performance and continued funding. The work location for this position is in-person on campus at Princeton University.

This position is subject to the University's background check policy.

Application Instructions
Candidates should apply at apply.interfolio.com/186862 and include a cover letter, CV (including a list of publications), research statement (a discussion of past research, expertise, and research interests), and the names and contact information of three references that can be contacted for confidential letters of referral.

Equal Employment Opportunity Statement
Princeton University is an Equal Opportunity Employer (https://rrr.princeton.edu/equal-opportunity-policy), 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.

Pay Transparency Disclosure
The University considers factors such as (but not limited to) the scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

The University also offers a comprehensive benefits program to eligible employees. Please see https://hr.princeton.edu/thrive/health for more information.