The Computer Science Department of Carnegie Mellon University has an exciting opportunity for a technical postdoc for work on making large language models (and similar systems) safe and reliable, especially in contexts where they are used as agents and have access to tools. Some directions that are particularly of interest:
Multiagent approaches, for example by having one agent monitor another, and agents working in concert
Multiobjective optimization approaches to enable safety by design
Evaluation, for example evaluating the performance of an agent over time, evaluating it in complex multi stakeholder environments, etc.
The position is for one year; we plan to be able to support a second year conditional on satisfactory performance.
Specifically Of Interest Are
Prior experience working with LLMs
Prior experience conducting rigorous experiments
An interest in decision making contexts and applications.
Also Valued (but Not Required) Are
Background or in related topics such as optimization, multiagent systems, game theory, human subjects experiments, ...
Background or interest in interdisciplinary collaborations crossing into for example policy, operations research, economics, philosophy, ...
Qualifications
Candidates are expected to have or be about to receive a PhD in computer science or a related discipline, and prior experience with the type of work of the position.
Seniority level
Internship
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Higher Education
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