Job Description

Job number

ENG03632

Faculties

Faculty of Engineering

Departments

Department of Electrical and Electronic Engineering

Salary or Salary range

43,863- 57,472 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

2 Nov 2025

About the role

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You will join the EPSRC-funded project "Behavioural Data-Driven Coalitional Control for Buildings", pioneering distributed, data-driven control methods enabling groups of buildings to form coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations.

What you would be doing

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You will design, implement and validate innovative data-driven economic model predictive control (MPC) methods to enable large groups of buildings to dynamically form coalitions and provide flexible energy services. Your work will incorporate advanced robust MPC techniques, including scenario-based and tube-based approaches, to ensure reliable operation despite significant uncertainty in weather, demand and energy prices.



In collaboration with UK Power Networks and SSE Energy Solutions, you will apply your methods in detailed simulation studies using Imperial's high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your findings to academic and industrial audiences, publish in leading journals, and actively contribute to the development and dissemination of open-source software. Additionally, you will support junior researchers and postgraduate students in your team.



Working closely with collaborators at the University of East London, you will integrate robust MPC algorithms with advanced coalitional control strategies, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability, economic viability, and robustness to realistic operational uncertainty.

What we are looking for

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PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability to produce high-quality journal publications and scientific manuscripts. Experience presenting research clearly at international conferences and industry workshops. Proven ability to manage your time effectively and prioritise tasks to meet research deadlines. Experience working collaboratively within multidisciplinary teams or industrial partnerships. Enthusiasm for mentoring junior researchers and contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing workflows.

What we can offer you

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You will join a vibrant research community based at our central London campus in South Kensington, providing easy access to cultural institutions, excellent transport links, and a stimulating research environment. Opportunity to shape next generation control theory within a world leading research group and to collaborate with major energy sector partners. Access to Imperial's high?performance computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package (including 38 days off a year) Regular internal seminars, colloquia and PhD/postdoc networks across the department and college, specifically designed to support early career researchers. Personalised career development through Imperial's Early Career Researcher Institute (ECRI), offering workshops in grant writing, research leadership, mentoring, teaching and career planning. Mentoring and career-guidance programmes available to support your progression toward research independence and leadership.

Further information

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Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 43,863-47,223 per annum.*





The post is available from 01 March 2026 for up to 24 months. The post is based in the Department of Electrical and Electronic Engineering at Imperial College London (South Kensington Campus).





If you require any further details on the role please contact: Prof. Eric Kerrigan e.kerrigan@imperial.ac.uk





To apply, please click the Apply now button at the top of this page. Please ensure you include a completed application form with your submission.





Further information about the post is available in the job description.

Closing date:

midnight on Sunday, 2 November 2025.

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

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