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Postdoctoral Fellowship in Differentially Private Learning and Replicability

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Cambridge, Massachusetts

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Postdoctoral Fellowship in Differentially Private Learning and Replicability

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.

Contact Information:

Allison Choat (Faculty Coordinator, Theory of Computation Group)

Contact Email:

achoat@seas.harvard.edu

Equal Opportunity Employer:

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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.

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