Postdoctoral Research Associate in Theoretical Computer Science and Machine Learning

Postdoctoral Research Associate in Theoretical Computer Science and Machine Learning

United States

15 November 2026 is a best-consideration date; applications may be considered afterward

About This Opportunity

Princeton University offers Postdoctoral Research Associate in Theoretical Computer Science and Machine Learning in Princeton, focused on theoretical computer science and foundations of machine learning.

Princeton University is recruiting a postdoctoral research associate in theoretical computer science with a focus on foundational questions relevant to machine learning. The advertised role is a scholarly research appointment rather than an application-engineering vacancy. Activities centre on developing original theory, mathematical analysis and publishable results, including collaboration with theoretical computer scientists. The institution indicates a possible distinction between postdoctoral and more senior research-scholar compensation depending on appointment level and experience. A PhD in computer science, mathematics, statistics or an adjacent research field with strong theoretical preparation is needed. Applicants are evaluated through their research statement, scholarly output and references. The advertised anticipated start is September 2027; employer-specific US work authorization conditions apply. Compensation or funding: USD 78,000–90,000 per year for postdoctoral rank; a separately described senior research-scholar range is USD 90,000–110,000. Stated appointment or programme length: Initial one-year appointment with possible renewal. Application timing: 15 November 2026 is a best-consideration date; applications may be considered afterward. Who This Opportunity Is Best Suited For: Applicants with a rigorous mathematical research record, algorithmic reasoning and interests in understanding or proving properties of machine-learning methods may be a strong fit. Potential Challenges / Who May Find It Less Suitable: Theoretical publications and abstraction are central; applicants looking primarily for production ML engineering or large clinical datasets may find the research direction less suitable. The visa sponsorship conditions merit close review. Overall Opportunity Assessment: This is a theory-led research appointment, distinguished by its emphasis on mathematical and algorithmic understanding of modern machine learning.

Theoretical computer science and foundations of machine learning

Level Postdoc

Duration Initial one-year appointment with possible renewal

Field Theoretical Computer Science

Organization Type University

Funding & Compensation

Amount USD 78,000-90,000 / Per Year

Funding Type Salary

Funding Status Paid

Period Per Year

Requirements

Education

A PhD in computer science, mathematics, statistics or an adjacent research field with strong theoretical preparation is needed. Applicants are evaluated through their research statement, scholarly output and references.