Studentships

Biosciences

PhD Studentship: Nutrient Dynamics in Cover Crops and Their Implications for Sugar Beet Nutrition, Soil Health, and Climate Resilience
Closing Date: 07 September 2026

PhD Studentship: Hidden Pest-Pathogen Alliances: Unravelling the Mechanisms of Aphid-Fungal Cooperation on Wheat
Closing Date: 17 August 2026

Engineering

Studentship: UKRI Net2Zero CDT PhD Studentship - Dynamic performance and AI driven optimisation of hybrid energy systems for net zero
Closing Date: 30 September 2026

PhD Studentship: UKRI Net2Zero CDT (Industry-Sponsored by AEL CCS) - Development and demonstration of a laboratory-scale next generation multifunctional reactor for biochar production and bioenergy with carbon capture and storage (BECCS) technology
Closing Date: 15 September 2026

PhD Studentship: UKRI Net2Zero CDT (Industry-Sponsored by Nanodot Ltd.) - Energy Efficient Oxyfuel Combustion of Biomass Enabled by Oxygen Separation Membranes
Closing Date: 15 September 2026

PhD Studentship: Solid State Substation Techniques for Future Electrical Energy Networks
Closing Date: 20 August 2026

PhD Studentship: ABA laser cladding
Closing Date: 19 August 2026

PhD Studentship: Addressing Macular Diseases using Ultrathin Digital Optics
Closing Date: 19 August 2026

PhD Studentship: Improving the lifecycle of complex domestic waste
Closing Date: 19 August 2026

PhD Studentship: Lasers and the circular economy
Closing Date: 19 August 2026

PhD Studentship: Exploring applied smouldering as a new energy-efficient and circular approach for managing the UK’s nuclear graphite waste
Closing Date: 31 July 2026

PhD Studentship: Sustainable Aviation Fuel Thermochemical Modelling
Closing Date: 31 July 2026

Studentship: EPSRC Fully Funded Studentship - EngD on Double Diaphragm Forming for Sustainable Composites Manufacturing sponsored by Syensqo
Closing Date: 30 July 2026

EPSRC PhD Studentship: Novel Optics and AI Aproaches to Image the Centre of a Live Root for the First Time.

EPSRC PhD Studentship: Retrofitting UK Schools for Health, Performance and Climate Resilience

Physics & Astronomy

PhD Studentship: Machine Learning for Probabilistic Modelling of Non-equilibrium Time Series Beyond the Markovian Paradigm