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Carlos Murguia

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PhD Opportunity in Data-Driven Safe Control of Nonlinear Systems at Singapore University of Technology and Design Singapore University of Technology and Design in Singapore

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

Singapore

University

Singapore University of Technology and Design

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Nonlinear Systems
Optimisation
Robotics
Statistics
Cyber-physical System
Applied Mathematic
ML

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About 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.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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