Description

Postdoctoral Research Associate

D-25-CBE-00007 | Research | Chemical & Biological Engineering

The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense/viva date) or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely related field are particularly encouraged to apply.

We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.
Candidates should apply at: https://www.princeton.edu/acad-positions/position/38801 and include a cover letter, CV, research statement (a discussion of past research, expertise, and research interests), and contact information for three references.

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.

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.

Expected Salary Range: $65,000-$70,000

The University considers factors such as (but not limited to) 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 benefit program to eligible employees. Please see this link for more information.

Requisition No: D-25-CBE-00007

*Required information is denoted with an asterisk.

How to Apply

The form below must be completed to submit your application for this position.

It is recommended that you read through the entire application and gather the required application materials before beginning your application. You will not be
able to save or return to edit a partial application. Only complete applications will be accepted for consideration and the application form must be completed in its entirety before it can be submitted.

Upon submitting your application, you will receive a confirmation email at the email address that you provide in your application. In some cases, your references may be contacted using the email address that you provide for them and may be asked to provide their recommendation via a web-based form similar to the application form.

Be sure to provide the correct email addresses for you and all of your references to ensure that communications from Princeton University are properly delivered.

For more information send an email to pweiss@princeton.edu.

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