PhD Scholarships in Probabilistic Programming / AI Safety / Statistical ML

We invite applications for PhD scholarships to work in one or more of the following research directions:

• Bayesian Statistical Probabilistic Programming: ICML21 (Spotlight), ICML22, NeurIPS22, NeurIPS23 (Oral), AISTATS24, POPL25 (Distinguished Paper Award)
• Safe Reinforcement Learning: NeurIPS24 [1]
• Verification of Dynamical Systems: CAV24
• Mechanistic Interpretability: [2]

(For references above, see Luke Ong's dblp page.)

[1] Xuan-Bach Le, Dominik Wagner, Leon Witzman, Alexander Rabinovich, Luke Ong: Reinforcement Learning with LTL and Omega-Regular Objectives via Optimality-Preserving Translation to Average Rewards. NeurIPS24. CoRR abs/2410.12175 (2024)

[2] Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez: Towards Interpreting Visual Information Processing in Vision-Language Models. Submitted to ICLR25. CoRR abs/2410.07149 (2024)

Reporting to Prof Luke Ong, the postholder will be a member of his research group in the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore.

Selection Criteria

Applicants should be close to completion or hold a masters degree (or equivalent) in computer science or mathematics or statistics. The ideal candidate for the PhD scholarship should have prior research experience in one or more of the above research directions.

Applications and Enquiries

To apply, email a copy of your application to the PI, Luke Ong (Email: luke.ong @ ntu . edu . sg), with the subject: PhD Scholarship in Probabilistic Programming / AI Safety / Statistical ML, including the following:

• your academic transcripts and CV
• representative papers or reports (if available)
• contacts of three references.

Two PhD scholarships are available. This call was posted in January 2025. It will remain open until the position is filled. Only shortlisted candidates will be notified.