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🎓 Energy Technologies PhDs

The Self-Driving Microscope: Predicting Stochastic Failure in Solid-State Batteries using Physics-Informed AI (Ref: M34Impact-MSE2)
University of Greenwich London, United Kingdom Dr James Le Houx, Dr Andrew Kao, Dr Mikhail Poluektov 🎓 Computational Mathematics 🎓 Computational Physics Deadline: 17 Apr 2026

Funded PhD at the University of Greenwich developing physics-informed AI to predict failure in solid-state batteries using X-ray imaging, simulations, and generative models.

✓ Funded (Competition) ⏰ Closing Soon
Added 3 weeks, 3 days ago View & Apply
Advancing Structured m-MOFs for Enhanced Carbon Capture and Removal in Industrial Applications - PhD
Cranfield University Dr A Nabavi 🎓 Bioengineering 🎓 Chemical Engineering Deadline: 06 May 2026

Fully funded PhD at Cranfield University on MOF-based carbon capture combining experimental work and CFD modelling to develop scalable industrial decarbonisation solutions.

✓ Funded (Competition) ⏰ Closing Soon
Added 3 weeks, 3 days ago View & Apply
Parameterising wakes for oceanographic models
Loughborough University Dr Charlie Lloyd, Prof Robert Dorrell, Dr Majid Bastankhah, Dr Michela De Dominicis 🎓 Applied Mathematics 🎓 Energy Technologies Deadline: 31 Mar 2026

PhD project focused on developing advanced parameterisations of offshore wind turbine wakes for oceanographic models, combining CFD simulations and marine modelling to understand environmental impacts of large-scale win…

✓ Fully Funded ⏰ Closing Soon
Added 3 weeks, 6 days ago View & Apply
Steel recycling in a circular economy: modelling future scrap flows, quality, and technologies for improving electric arc furnace steelmaking (UK/US/EU)
University College London Dr Lukas Gast 🎓 Built Environment 🎓 Energy Technologies Deadline: 19 Jun 2026

A fully funded 3.5-year PhD at UCL investigating steel recycling, scrap quality, and recycling technologies to improve electric arc furnace steelmaking in UK, US, and EU contexts.

✓ Fully Funded
Added 4 weeks, 1 day ago View & Apply