About the project
Can quantum computers help make better energy decisions when the future is uncertain? This project will develop hybrid quantum–classical algorithms that use limited quantum hardware strategically within large-scale stochastic optimisation. Applications will address renewable uncertainty, storage and infrastructure planning, connecting quantum computing with real-world challenges in the net-zero energy transition.
Planning future energy systems requires decisions about generation, storage and infrastructure years before future demand, weather and renewable generation are known. Stochastic optimisation provides a rigorous framework for such decisions, but realistic models can contain thousands of uncertain scenarios and millions of variables, creating major computational challenges.
This PhD will investigate whether quantum computing can help overcome these barriers. Rather than attempting to place an entire energy system model on a quantum computer, the project will develop hybrid quantum–classical algorithms that use scarce quantum resources selectively for computationally challenging components of large-scale stochastic optimisation.
Research will explore how quantum optimisation and sampling methods can be embedded within classical decomposition frameworks. Potential directions include quantum solution of scenario subproblems, combinatorial planning decisions, scenario generation or selection, and coordination between long-term investment and short-term operational decisions. Variational quantum algorithms, quantum annealing and emerging quantum optimisation approaches will be investigated alongside state-of-the-art classical methods.
The algorithms will be tested on real-world energy applications involving uncertain renewable generation, long-duration storage, infrastructure investment and system resilience. A central objective will be to establish when quantum resources provide computational value, what limitations current hardware imposes, and how algorithms should evolve as quantum hardware improves.
You will join Southampton’s interdisciplinary quantum technology environment and receive specialist quantum training through the EPSRC Centre for Doctoral Training in Quantum Technology Engineering, including an industry placement and opportunities for extended research visits.
The University of Southampton is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
Application deadlines:
- UK applicants: 31 July 2027
- International applicants: 31 March 2027
