• Title of project: Control and optimization for multi-agent systems
  • Funding Agency:
  • Description: This is an open-ended position for research in multi-agent systems, including multi-robot systems, with emphasis on designing and implementing distributed control and optimization algorithms. Ongoing research includes work in: networked coordination under asynchronous information sharing, distributed control and optimization under information privacy requirements, graph-theoretic analyses in multi-agent systems, cloud-based control of systems, and swarming behaviors in ground and aerial robot teams. 
  • Restrictions/Constraints: US citizenship or Green card is preferred
  • Knowledge and skills Needed: A successful candidate will have a strong background in control theory and should feel comfortable with rigorous mathematical thinking. A programming background, especially in MATLAB, Python, or C/C++, is expected. Additional experience in hands-on robotics or embedded programming is desired.
  • How to apply: Email Dr. Hale with a complete CV (including awards, standardized test scores, and references who can comment on your past work), and a brief description of why you would be a good fit.
  • Faculty contact/webpage: Dr. Matthew Hale,,