Recruiting
As the principal investigator of the Cooperative Intelligence & Systems (CoSI) lab in the NUS Computer Science department, I am recruiting PhD students, post-doctoral researchers, research assistants, and visiting students interested in any of the following topics:
- Modeling and engineering human-like cooperative agents, e.g.:
- Bayesian theory of mind and inverse planning
- Cooperative communication and language-based assistance
- Uncertainty-aware cooperative planning for assistive agents
- Cooperative infrastructure for human-human and human-machine interactions, e.g.:
- Norm learning for decentralized coordination
- Normative reasoning and contractualist AI alignment
- Foundations of rational deliberation, negotiation, and justification
- Applications of rational cooperative AI, e.g.:
- Safe and reliable web-browsing agents via cooperative (inverse) planning
- Language-instructable AI co-players in video games
- Safe and uncertainty-aware assistive robotics
- Probabilistic programming and model-based planning for guaranteed safe AI, e.g.:
- Planning languages and representations for web-based AI agents
- Multi-resolution world/agent modeling via probabilistic programs
- Belief-space planning with symbolic/abstract belief representations
For a summary of my research interests and tastes, check out the talk I gave for my PhD thesis defense, my faculty research statement, or my start-up grant proposal. See my about page for mentees I have previously worked with.
If you are interested in working with me on these topics (or potentially others), please email xuan [at] comp.nus.edu.sg sharing more about your interests and background! (If you’re nervous about sending an email, Eugene Vinitsky has written a great guide on how to send a cold emails to researchers.)
For prospective PhD students, the PhD program at NUS Computer Science has two intakes: August (apply by 15 December the previous year) and January (apply by 15 June the previous year). For guidance on how to prepare a strong PhD application, the MIT EECS Communication Lab has useful examples and advice.