Research Associate in Learning-based Predictive Control of Multi-Energy Systems (Deep Learning)

Location: Manchester, United Kingdom; hybrid working arrangements may be considered. The role requires travel to collaborating universities across the UK and offers opportunities to attend international conferences.

Salary: £37,694–£46,049 per annum, depending on relevant experience.

Company

hirify.global is a university conducting research in multi-energy networks, energy technologies, and urban energy systems.

What you will do

• Develop, implement, and test predictive control algorithms for the optimal coordination of multi-energy resources and network infrastructure.
• Apply learning-based techniques, including deep neural networks, to learn system dynamics and modelling errors.
• Develop automatic tuning methods for cost parameters, constraints, and control-law approximators.
• Reduce modelling complexity and online computational requirements while providing learning, self-regulating, and adaptive control capabilities.
• Collaborate with researchers from UK universities and industrial partners on modelling, optimisation, and control of multi-energy networks and technologies.
• Present research at leading international conferences and contribute to research networking within the energy networks and systems community.

Requirements

• Ability to develop, implement, and test predictive control algorithms for multi-energy systems.
• Knowledge or experience of learning-based techniques such as deep neural networks.
• Ability to work on modelling, optimisation, and control of interconnected energy networks, including electricity, heat, gas, and hydrogen systems.
• Ability to interact effectively with researchers from other disciplines and industrial partners.
• Ability to travel to collaborating universities in the UK and present research at international conferences.

Culture & Benefits

• Work within the EPSRC-funded Supergen Energy Network Hub project.
• Collaboration with researchers from other UK universities and industrial partners.
• Market-leading pension scheme.
• Employee health and wellbeing services, including an Employee Assistance Programme.
• Annual leave entitlement, bank holidays, and additional paid closure over Christmas.
• Local and national discounts at major retailers.