Postdoctoral Research Associate - AI for Plasma Physics and Control in Princeton, New Jersey at Princeton University
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Job Description
Location: Princeton, NJ
Salary Range or Pay Grade: PDRA: $85,000 - $95,000; ARS: $105,000 - $120,000
Description
We invite applications for a Postdoctoral Research Associate or more senior researcher at the intersection of artificial intelligence, signal processing, and plasma control. The successful candidate will join a leading AI for fusion research group, developing data-driven methods to analyze and control fusion plasmas using large experimental datasets.
Research areas may include:
● Machine learning for plasma diagnostics and real-time monitoring
● AI-enabled plasma control and instability prediction
● Data-driven modeling and surrogate models of plasma dynamics
● Signal processing and multimodal data fusion
Requirements:
● Ph.D. in computer science, physics, engineering, applied mathematics, or related field
● Strong experience in advanced machine learning, signal processing, or control
● Strong programming skills (Python/C/Matlab)
● Ability to conduct independent and collaborative research
Qualifications
The term of appointment depends on rank. Positions at the postdoctoral rank are for one year, with the possibility of renewal based on satisfactory performance and continued funding. Those hired at more senior ranks may receive multi-year appointments. Research staff are eligible for University benefits.
Inquiries about the position may be sent to ekolemen@princeton.edu and aj17@princeton.edu with the subject line “Plasma Control Postdoc Inquiry 2026”.
Application Instructions
Applicants must apply online and include a cover letter, curriculum vitae, research statement, and contact information for three references. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University.
Princeton University is an Equal Opportunity 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.
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 this link for more information.