Carlos Murguia

No summary provided for this position.

PhD opportunity at the Singapore University of Technology and Design (SUTD) with Carlos Murguia , Lead Scientist & Associate Professor. The project is in data-driven safe control of nonlinear systems , combining learning , hybrid physics–AI models , reachable-set analysis , and control barrier functions to build learning-enabled cyber-physical systems with rigorous safety and resilience guarantees. Ideal applicants should have a strong background in systems and control , optimization , applied mathematics , or machine learning for dynamical systems . The post is for the January 2027 intake . To apply, email [email protected] with your CV , transcripts , and a brief description of your research interests. The post says there is only about one month left to apply and gives a deadline of 30 September 2026 . If you are attending the IFAC World Congress in Busan , the poster invites interested candidates to arrange an informal chat during the week.