PhD Studentship: Towards ultra-high efficiency Free piston engine generator

This PhD project aims to achieve a breakthrough in thermal efficiency (>50%) for dual-piston Free-Piston Engine Generators (FPEGs). The research will pioneer a novel, integrated methodology combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance.

The investigation will focus on optimising core gas exchange and combustion processes, critical for efficiency. A sophisticated numerical framework will be developed, coupling moving-mesh CFD with detailed chemical kinetics to evaluate advanced scavenging designs and low-temperature combustion modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia.

A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables.

This research will deliver a validated roadmap to 60% efficiency, novel engine designs, and an open-source AI optimisation tool. The outcomes will provide significant academic and practical contributions to developing ultra-clean, sustainable power generation technologies.

Supervisors: Dr Guohong Tian and Dr Yinglong He

Entry requirements

Open to candidates who pay UK/home rate fees. See UKCISA for further information. Starting in April 2026. Later dates are possible, please contact Dr Guohong Tian after the deadline passes.

You will need to meet the minimum entry requirements for our PhD programme.

A resilient candidate with strong background in mechanical engineering, prefer to have experience in IC engines, combustion and CFD.

How to apply

Applications should be submitted via the Automotive Engineering PhD programme page.

In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

Funding

Fully and directly funded for this project only. UKRI standard stipend - £20,78 per year for academic year 2025/26.  Funding is for 3 years.

Application deadline: 1 November 2025

Enquiries: Contact Dr Guohong Tian

Ref: PGR-2526-006

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