Computational Intelligence for Dynamical Systems Laboratory

We are interested in Scientific Computing and Machine Learning with applications to engineering, biology, and health

We look forward to working with self-motivated and proactive students!

We have 1 fully funded PhD position open in Spring/Fall 2027 with a focus on Physical AI. Students with a background in math, physics, and engineering are highly encouraged to apply for the PhD program in UD CIS. A background in numerical solution and analysis for differential equations or reinforcement learning is preferred.

Prospective students:

If you would like to join our group in any capacity, please fill out this form and then send me a short email note without any documents. In addition, if you want to join us as a PhD student, please also mention my name in your application (statement of purpose, personal statement).

My expectations for PhD students:

• Drive the research forward. Rather than waiting for weekly meetings to receive tasks, identify problems, propose ideas, and suggest next steps.

• Communicate proactively. If you encounter a blocker, let me know early instead of struggling silently for weeks. Likewise, share important progress, negative results, or new ideas as they arise.

• Manage time effectively. Set short-term goals, track your progress, and work consistently without requiring repetitive supervision.

• Be intellectually curious. Read beyond the assigned papers, explore related methods, and think critically about improving existing work.