Postdoctoral Fellowship in Differentially Private Learning and Replicability

Postdoctoral Fellowship in Differentially Private Learning and Replicability

Position

Title
- Postdoctoral Fellowship in Differentially Private Learning and Replicability

School
- Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area
- Computer Science

Position Description
- Cynthia Dwork, Gordon McKay Professor of Computer Science in Harvard SEAS' Theory of Computation Group, seeks applicants for a postdoctoral fellowship to conduct research in differentially private learning, its connections to replicability of algorithms, and algorithmic fairness.

Basic Qualifications
- Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Additional Qualifications - A demonstrated interest in algorithmic fairness is desirable, as well as a track record of publications in high-quality venues in the stated areas.

Special Instructions
- Required application documents include a cover letter, CV, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least two (or up to three) references. We encourage candidates to apply by March 2, 2026, but will continue to review applications for up to 30 days from date of posting.

Contact Information
- Allison Choat (Faculty Coordinator, Theory of Computation Group)

Contact Email - achoatvard.edu

Salary Range - $67,600 – $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.

Minimum Number of References Required - 3

Maximum Number of References Allowed - 5