PhD Studentship: Symbiotic Electrified Vehicle Systems Sustainable Transport

PhD Studentship:
Symbiotic Intelligent Electrified Vehicle Systems for Sustainable Transport University of Birmingham – Department of Mechanical Engineering

Qualification Type:
PhD

Location:

Birmingham

Funding for: UK Students, EU Students, International Students

Funding amount: UKRI stipend

Hours:

Full Time

Placed On: 19th November 2025

Closes: 31st December 2025

This EPSRC-funded PhD project will investigate how next‑generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently adapting their energy use, control strategies, and collective behaviours to enhance sustainability. The research aims to design AI‑driven control and energy management frameworks that enable self‑organising, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets.

Using multi‑agent systems, reinforcement learning, and digital‑twin technologies, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real‑world constraints. Scaled experiments and high‑fidelity simulations will validate system performance and demonstrate measurable reductions in energy consumption and emissions.

The successful candidate will join the Birmingham CASE Automotive Research Group—one of the UK’s leading centres in vehicle dynamics, control, and electrification—benefiting from industrial collaborations, advanced testing facilities, and a strong interdisciplinary environment.

Applicants should hold a First‑class (or equivalent) degree in Mechanical, Automotive, Powertrain, or Control Engineering, or a closely related discipline. Strong academic performance and research potential are essential.

The selection will follow EPSRC criteria, with academic qualifications and potential (70%) and research proposal quality (30%) as the main weighting factors, while considering Equality, Diversity and Inclusion (ED&I) and alternative routes into research.

Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should demonstrate good communication, teamwork, and motivation for high‑impact, interdisciplinary research aligned with the EPSRC remit.

The project is supported by the EPSRC Doctoral Training Programme (DTP), offering one home and one overseas 3.5‑year studentship covering full tuition fees and a standard UKRI stipend.