About this role
Location: Leeds - Main Campus
Working time: 37.5 hours per week
Contract type: Fixed term (Until 31st August 2027 - to complete specific time limited work)
Are you a researcher looking for your first challenge? Do you have a background in computer science, data science, electrical engineering, cyber-physical systems, or a closely related field? Do you want to further your career in one of the UK’s leading research-intensive universities?
As a Research Fellow in Data Analysis and Security for Railway Microgrids, you will join an exciting consortium to accelerate the journey to transport decarbonisation by developing networked energy hubs for, potentially, as many as over 2,500 railway stations and depots across the UK, and extend the technology to road, ports and airports. You will be improving efficiency and supporting transport electrification with networked railway energy hubs, while offering greater flexibility to support both transport and grid operation. The project will explore the commercial opportunities to adopt and scale up networked energy hubs as virtual power plants to deliver creative, predictable, and cost-effective use of electric power on the transport while offering flexibility services to the power grid.
We are open to discussing flexible working arrangements.
To explore the post further or for any queries you may have, please contact:
Professor Kang Li, Chair in Smart Energy Systems
Tel: +44 (0)113 343 2045
Email: [email protected]
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.