Job Description

Asst Prof. Tan Zhi Xuan is establishing a new research lab focused on scaling cooperative intelligence through rational, model-based AI engineering. We are seeking motivated research assistants to join our team and contribute to cutting-edge research in cooperative AI. This is an excellent opportunity for recent university graduates interested in pursuing graduate studies or gaining research experience in AI

Successful candidates will have the opportunity to work on projects in one or more of the following areas:

Modeling and Engineering Human-like Cooperative Agents:
•    Bayesian theory of mind and inverse planning
•    Cooperative communication and language-based assistance
•    Uncertainty-aware cooperative planning for assistive agent

Cooperative Infrastructure for Human-Human and Human-Machine Interactions:
•    Norm learning for decentralized coordination
•    Normative reasoning and contractualist AI alignment
•    Foundations of rational deliberation, negotiation, and justificatio

Applications of Rational Cooperative AI:

•    Safe and reliable web-browsing agents via cooperative (inverse) planning
•    Language-instructable AI co-players in video games
•    Safe and uncertainty-aware assistive robotic

Probabilistic Programming and Model-based Planning:
•    Planning languages and representations for web-based AI agents
•    Multi-resolution world/agent modeling via probabilistic programs
•    Belief-space planning with symbolic/abstract belief representation

Our lab is committed to building a diverse and inclusive research community. We encourage applications from candidates of all backgrounds.

More information and resources can be found on this recruiting page: https://ztangent.github.io/recruiting/
Enquiries can be sent to xuan@mit.edu.

Job Requirements

Required:
•    Bachelor's degree in Computer Science, Engineering, Mathematics, Computational Cognitive Science, or a related field
•    Strong programming skills (experience with Python and/or Julia, ML frameworks preferred)
•    Solid foundation in mathematics and statistics
•    Ability to work independently and collaborativel

Preferred:
•    Research experience in AI, machine learning, computational cognitive science, probabilistic programming, or related fields
•    Interest in human-AI cooperation or cognitive modeling
•    Publications or projects demonstrating research aptitud

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 29481