Postdoc: Differentially Private Learning and Replicability

Harvard University; Cambridge (MA); On-site; USD 67,600 - 91,826; Full time

Job summary

Harvard University in Cambridge is inviting applications for a Postdoctoral Fellowship in Differentially Private Learning and Replicability. The successful candidate will work under Professor Cynthia Dwork in the Computer Science department, focusing on algorithmic fairness and replicability in algorithms. Applicants must have a doctorate in a related field and show interest in algorithmic fairness. The position offers a salary range of $67,600 – $91,826, depending on qualifications and experience. The application deadline is March 2, 2026.

Qualifications

• A doctorate or terminal degree in Computer Science or a related area is required by the expected start date.
• Demonstrated interest in algorithmic fairness is desirable.
• A track record of publications in high-quality venues in the stated areas.

Responsibilities

• Conduct research in differentially private learning and its connections to replicability of algorithms and algorithmic fairness.

Skills

Interest in algorithmic fairness

Publications in high-quality venues

Education

Doctorate or terminal degree in Computer Science or related area

Job description

Harvard University in Cambridge is inviting applications for a Postdoctoral Fellowship in Differentially Private Learning and Replicability. The successful candidate will work under Professor Cynthia Dwork in the Computer Science department, focusing on algorithmic fairness and replicability in algorithms. Applicants must have a doctorate in a related field and show interest in algorithmic fairness. The position offers a salary range of $67,600 – $91,826, depending on qualifications and experience. The application deadline is March 2, 2026.