Postdoctoral Fellowship in Differentially Private Learning and Replicability

The Protocol Labs Network is an ecosystem of teams pushing the boundaries of decentralized technologies, research, and open-source innovation. Explore opportunities across the network and join the mission.

Title Postdoctoral Fellowship in Differentially Private Learning and Replicability

School

School Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area

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.

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

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

Minimum Number of References Required 3

Maximum Number of References Allowed

Maximum Number of References Allowed 5

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Required fields are indicated with an asterisk (*).