Postdoctoral Fellowship in Differentially Private Learning and Replicability

Postdoctoral Fellowship in Differentially Private Learning and Replicability

Title:

Postdoctoral Fellowship in Differentially Private Learning and Replicability

School:
Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area:
Computer Science

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.

Application Requirements:
Required application documents include a cover letter, CV, a statement of research interests, and up to three representative papers. Candidates must also submit the names and contact information for at least two (or up to three) references.

Deadline:
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

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