Summary

I am an Associate Professor (Senior Lecturer) in the Computational Optimisation Group (COG) within the Department of Computing, supported by the BASF / RAEng Senior Research Fellowship in Scale-Bridging Modelling and Optimisation. My research focuses on optimization and learning methods for sequential decision making under uncertainty, with particular emphasis on mixed-integer programming and statistical learning. I apply these methods to domains such as chemical engineering, artificial intelligence, process scheduling and control, demand-side management, and energy systems.

Available Positions

Funded PhD Position in Optimisation and Machine Learning

For prospective PhD students, students who wish to work with me must first apply to the Department of Computing and pass the internal screening process. Please also mention my name in the formal applicaiton to Imperial. The procedure is described here. In the UK, PhD offers are separate from securing funding to cover tuition fees and living expenses. To give yourself the best chance of securing funding, I highly recommend exploring the many PhD scholarship opportunities available, including my funded positions, internal scholarships, and CDTs. External scholarships may also be available, e.g., CSC, Marshall Scholarships.

For prospective postdoctoral researchers, please contact me if you are interested in applying for fellowship schemes such as the MSCA Fellowships, Newton International Fellowships, Royal Commission 1851 Fellowships, Imperial Research Fellowships, or RAEng Research Fellowships. For current Imperial students, I regularly post opportunities for independent projects in the Department of Computing Project Portal. I am also open to student-proposed projects.

Calvin Tsay

Summary

Available Positions

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