The University of Manchester invites applications for a Research Associate to develop, implement and test predictive control algorithms for coordinating multi-energy resources and networks in urban energy systems. You will use learning-based techniques to learn dynamics and tune parameters, enabling adaptive and efficient control.
You will collaborate with UK researchers on the EPSRC-funded Supergen Energy Network Hub, with opportunities to travel to partner sites and present at international
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Research Associate: Learning-Based Multi-Energy Control in Manchester employer: The University of Manchester
The University of Manchester is an excellent employer, offering a vibrant work culture that values diversity and inclusivity. As a Sport Centre Assistant, you'll enjoy flexible shifts while contributing to a dynamic environment that prioritises high-quality experiences for all users. With ample opportunities for personal and professional growth, working at our esteemed institution allows you to make a meaningful impact in the community.
Contact Details:
The University of Manchester Recruitment Team
