Research Fellow (Data-enabled Predictive Control)
Core
Developing data-enabled predictive controllers for autonomous robots with a focus on safety guarantees.
Role type
Research Fellow (Control Theory & Robotics)
Builds
Theoretical frameworks, simulations, and peer-reviewed publications on safe predictive control.
Domain
Robotics, Control Theory, Machine Learning
Deliverable
research
Required skills
control theory, optimisation-based algorithms, machine learning, Python, C/C++
Responsibilities
Lead and contribute to experiments, simulations, or theoretical work; Lead and co-author peer-reviewed journal articles, conference papers, or technical reports; Plan timelines, manage resources, and report progress to the Principal Investigator.
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