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University of Southampton

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PhD in Hybrid Quantum–Classical Stochastic Optimisation for Future Energy Systems University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The project is marked as competition funded. The advert does not specify the stipend amount, tuition-fee coverage, or other financial terms. UK applications close on 31 July 2027 and international applications close on 31 March 2027.

Deadline

Mar 31, 2027

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Electrical Engineering
Energy Storage
Mathematics
Quantum Computing
Quantum Algorithms
Physics
Renewable Energy Systems
construction planning

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About this position

This PhD project investigates whether quantum computing can improve decision-making for future energy systems under uncertainty. Based at the University of Southampton, the research will connect hybrid quantum–classical computing with large-scale stochastic optimisation for the net-zero energy transition.

Energy-system planning requires long-term decisions about generation, storage, and infrastructure before future demand, weather, and renewable generation are known. The project will develop algorithms that use limited quantum hardware selectively within classical optimisation frameworks, rather than attempting to place an entire energy-system model on a quantum computer.

Research directions include embedding quantum optimisation and sampling methods into classical decomposition approaches; solving scenario subproblems; addressing combinatorial planning decisions; generating or selecting scenarios; and coordinating long-term investment with short-term operations. Variational quantum algorithms, quantum annealing, and emerging quantum optimisation methods will be studied alongside state-of-the-art classical techniques.

The algorithms will be evaluated through real-world applications involving uncertain renewable generation, long-duration energy storage, infrastructure investment, and system resilience. A key aim is to determine when quantum resources provide computational value, how current hardware constrains performance, and how methods should develop as quantum hardware improves.

The successful researcher will join Southampton’s interdisciplinary quantum technology environment and receive specialist training through the EPSRC Centre for Doctoral Training in Quantum Technology Engineering. The programme includes an industry placement and opportunities for extended research visits.

Funding details

The project is marked as competition funded. The advert does not specify the stipend amount, tuition-fee coverage, or other financial terms. UK applications close on 31 July 2027 and international applications close on 31 March 2027.

What's required

Applicants require a 2:1 UK honours degree. The project is suited to applicants with relevant preparation in quantum computing, optimisation, stochastic modelling, energy systems, computer science, mathematics, engineering, or related disciplines; the advert does not provide more specific mandatory requirements.

How to apply

Apply through the University of Southampton postgraduate research project page. Select the project and submit the required postgraduate research application materials before the applicable deadline: 31 March 2027 for international applicants or 31 July 2027 for UK applicants.

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