Electronics and Electrical Engineering
Advanced electronic/optoelectronic technologies designed to allow stable, intimate integration with living organisms will accelerate progress in biomedical research; they will also serve as the foundations for new approaches in monitoring and treating diseases.
We invite applications for a PhD focused on data-driven and digital solutions to accelerate the decarbonisation of electricity systems - in a way that yields benefits for the grid, end-users/communities, system resilience and beyond. The successful candidate will develop, test and validate methods that combine some of digital twins, AI/ML, optimisation, novel market mechanisms (e.g., peer-to-peer trading, flexibility markets) and enabling technologies (e.g., smart contracts) to coordinate distributed energy resources such as EVs, batteries, heat pumps and beyond. The project aims to bridge academic research and real-world implementation, delivering tools that enhance resilience, flexibility and affordability in smart, low‑carbon grids. The position sits within the Institute for Energy Systems (Electronics & Electrical Engineering) and builds on our recent work on: - community energy and local energy solutions that support Just Energy Transitions - demand-side response, energy flexibility assessment and smart coordination (via optimisation and AI decision-making) - smart contracts and transactive energy in local markets - virtual power plants (VPPs) of EVs and residential batteries, including extreme-weather resilience.
If a suitable candidate is found, this position may close earlier than the closing date.
The applicants should hold a first degree in Engineering, Physics, Informatics or similar.