Responsibilities: Applicants will be expected to lead cutting-edge research, supervise with PhD students at UCSD and Harvard, and participate in research collaborations with top-tier medical institutions across the US. Applicants will also have the opportunity to develop their own research agenda and start collaborations with faculty at UCSD and Harvard.

Requirements: Applicants should have demonstrated research experience in machine learning, an interest in algorithmic fairness, and expertise in at least one of the following areas: optimization, statistics, causal inference, or information theory. Prior experience in healthcare is a plus, as is an ability to code in Python. Applicants should already have a PhD, or be confident of its completion by the start date.

Logistics: This is a joint postdoctoral fellowship at UCSD and Harvard. The position has significant flexibility. Applicants should plan to reside in San Diego but will be able to spend significant time in Boston to advance collaborations at Harvard (e.g., spend the academic year at SD and the summers in Boston, or spend one semester in Boston). The target start date is June 2022. The position is funded for two years, with a potential extension for a third year.

How to Apply: Candidates should submit complete applications on this site. Complete applications require: - Curriculum Vitae - Research Statement, describing prior/ongoing work and future research interests - Two Sample Publications - Names, E-mail Addresses, and Affiliations of 3 Reference Letters -Statement of Contributions to Equity, Diversity, and Inclusion (see guidelines)

We will review applications on a rolling basis starting on December 1, 2021. Applications will be accepted after this deadline until the position is filled.