We invite applications for Postdoctoral Scholars in Responsible Machine Learning at UCSD. Scholars will work with Professors Berk Ustun and Lily Weng to address emerging challenges in the fairness, robustness, explainability, and safety of machine learning models.

Qualifications

Applicants should hold a Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics, or a closely related discipline. In particular, we seek candidates who have a track record in developing theory or methods as demonstrated through publications at top-tier venues in machine learning (e.g., NeurIPS, ICML, ICLR, JMLR, KDD, AAAI, AISTATS, FAccT, UAI) or their current discipline.

We are especially interested in candidates who have expertise in one or more of the following topics: optimization, mathematical programming, causal inference, human-computer interaction, and deep learning. We also welcome applicants who have a track record of mentorship, developing models in real-world applications, and software development experience in Python.

Logistics

We have multiple positions that can start in Summer 2024. Appointments are expected to span up to two years, with the potential for renewal for a third year based on mutual interest.

Application Process
Applicants should submit their application through this form and attach the following documents:

• Curriculum Vitae

• Cover Letter

• Representative Papers

• Research Statement (2-3 pages describing prior future work)

• Contact Information for 3 Reference Writers

We will review applications as we receive them and continue to review until the position has been filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Questions