Postdoctoral Research Associate
The American Ceramic Society, Princeton, NJ, United States
Postdoctoral Research Associate
D-25-CBE-00007 | Research | Chemical & Biological Engineering
The Rosen Research Group at Princeton University 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. or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely related field are particularly encouraged to apply.
Expertise and Experience
Density functional theory
Deep learning
High‑throughput simulations
Molecular dynamics
Materials chemistry
Strong Python programming skills (required)
Prior experience with developing open‑source software or databases (considered a plus)
This position is one year with the possibility of renewal pending satisfactory performance and continued funding. The work location 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 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.
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D-25-CBE-00007 | Research | Chemical & Biological Engineering
The Rosen Research Group at Princeton University 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. or hold a Ph.D. in chemical engineering, materials science and engineering, chemistry, physics, or a closely related field are particularly encouraged to apply.
Expertise and Experience
Density functional theory
Deep learning
High‑throughput simulations
Molecular dynamics
Materials chemistry
Strong Python programming skills (required)
Prior experience with developing open‑source software or databases (considered a plus)
This position is one year with the possibility of renewal pending satisfactory performance and continued funding. The work location 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 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.
#J-18808-Ljbffr