Research fellow in control theory and robotics
About the job
This Research Fellow job is all about advancing model-guided and data-driven optimisation for complex dynamic systems. By designing algorithms and implementing them on physical platforms, you will contribute to high-impact publications and collaborations. The team thrives in a collaborative engineering community, working closely with leading experts in mechanical and electrical engineering.
You'll be responsible for
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Conducting independent research
Plan and conduct independent research on model-guided, data-driven optimisation for static and dynamic control systems.⚙️
Developing optimisation algorithms
Develop, analyse and implement optimisation algorithms on physical platforms, documenting rigorous convergence and stability results.📄
Preparing technical reports
Prepare high-quality technical reports and peer-reviewed publications, and present findings at national and international forums.Key criteria
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PhD in relevant engineering field
Possess a PhD in Mechanical, Electrical, or related engineering disciplines.View
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Research experience in optimisation
Demonstrated research experience in model-guided and data-driven optimisation.View
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Algorithm design and implementation
Experience designing and implementing optimisation algorithms on physical platforms.View
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