Nuclear Energy Futures Centre for Doctoral Training (NEF CDT)

The Nuclear Energy Futures CDT will graduate up to 80 PhDs that will provide innovation and leadership for the future of the UK nuclear industry. It's an evolution of the highly successful ICO CDT programme.

PhD students in a laboratory

Nuclear power is the largest source of low-carbon electricity in the UK and has a positive impact on the security and stability of our nation's energy supply. As the UK curbs fossil fuel consumption and carbon dioxide emissions increases its proportion of renewable energy, nuclear power assumes a vital role in any future energy mix as a source of low-carbon baseload electricity.

To ensure nuclear's role in a greener future is significant, the skills shortage must be addressed, new build and decommissioning costs must come down, geological disposal has to be explored and the UK has to have the skills to contribute meaningfully to cutting-edge technologies such as fusion and Gen IV reactors.

The Nuclear Energy Futures CDT will put your interests at the centre of your study. We listen to your research interests, and we will work hard to connect you with stimulating PhD projects supported by a team of industry and academic experts.

While doing your PhD, you will take specially designed modules to give you the knowledge and skills needed to navigate the nuclear landscape, participate in cohort-building activities across the world, and prepare for a rewarding career.

NEF CDT 4-year PhD

Applications are invited from candidates who have an interest in the PhD projects listed below for entry in the academic year 2022/23.

The list of projects available is not exhaustive, although the projects listed below have preference: they have funding agreed and are available immediately.

Applicants who cannot find a suitable project listed should discuss their preference with the CDT admissions panel. Although we will do our best, there is no guarantee we can find an appropriate supervisor or funding. Similarly, candidates are welcome to apply and be put on a mailing list informing them when new projects become available.

Please note also that project supervisors may require more specific qualifications and backgrounds to suit the skills and experience needed by the PhD research project. These should be listed on the project descriptions - if not, you should enquire with the supervisor directly.

Due to the sensitive nature of the research being carried out, some projects may require you to be a UK national. These should also be listed on the project descriptions - if not please enquire with the supervisor directly.

Specific research topics will be agreed with candidates when an offer is made.

  • A framework for modelling groundwater flow in heterolithic sedimentary sequences

    Ageing of plutonium oxide powders: evolution of physical properties

    Assessment of the prospects for radiogenic lead as a coolant for Lead-cooled FRs

    Automated design optimisation of nuclear reactor cores

    Critical experiments to unravel metal corrosion

    Data assimilation and application in radiation physics and shielding

    Dynamic fracture testing techniques for alloys

    Effect of ground water composition on the design of a waste disposal facility

    Experiments to create a predictive model to unravel corrosion damage in steel

    Extraction of hydrogen isotopes from molten lithium

    Galling-resistant Co-free hard facings for light water reactors

    Radiation damage of advanced shielding for compact fusion reactors

    Salt-cooled high-temperature reactors

    Using artificial intelligence to predict and validate nuclear data

  • Modelling the behaviour of compacted bentonite for nuclear waste disposal

    Steel oxidation and wear

    Developing cancer treatments with Targeted Auger Therapy

    Performance of aged cement grouts for encapsulating radioactive wastes

    Computational modelling supporting experiments at Jules Horowitz Reactor

    A new approach for 3D mapping of residual stress

    Salt-cooled High-temperature Reactors

    Simulating the scatter of a polycrystalline in synchrotron diffraction using crystal plasticity simulation

    High-fidelity modelling of clad ballooning during a loss-of-coolant accident

    Peridynamics and finite element crystal plasticity modelling of oxidation of Zr alloys

    A new generation of models for predicting corrosion damage in stainless steel

    Extracting fracture parameters from non-standard specimens using digital image correlation

    Correction of microstructural aberration in neutron diffraction strain measurements in power plant structures

    Thermal-Hydraulics measurement and sensing techniques for nuclear applications

    Investigation into Hot Isostatic Pressing of a 12% chromium martensitic steel and optimisation of the bond to Nickel Based Alloy 625

    Inducing the resumption of alteration in UK radioactive waste glasses

    Simulation and validation of damage in ferritic/martensitic materials

    Plasticity-induced damage in high-temperature reactors

    Modelling the thermal performance of Accident Tolerant Fuels based on UN

    Irradiation creep induced nano-/microstructure and property changes in graphite

    A Bayesian Neural Network (BNN) Machine Learning (ML) surrogate modelling framework for high-fidelity thermal fatigue modelling of components within load-following Nuclear Power Plants

  • Multi-physics reactor optimisation coupled with uncertainty quantification

    Creep-plasticity interaction in high-temperature reactor materials

    Enhancing system resilience and organisational safety in the nuclear industry through joined-up regulation, policy and procedures

    Modelling advanced technology fuels for Gen IV Very High Temperature Reactors

    Ageing of plutonium oxide powders: evolution of physical properties

    Nuclear fuel cycle technologies and economics

    Mathematical and computational modelling of nuclear criticality safety analysis

    The optimum role of nuclear fusion in carbon-free future energy systems

    Investigating the effect of Zn addition to corrosion of alloy-600 in water-cooled reactors

    Investigating actinide oxide reactivity in waste

    Modelling delayed hydride cracking and crack growth in Zr cladding

    Neutron irradiation damage modelling for high temperature fusion applications

    Hydride-based shielding materials for compact fusion power reactors

    Using artificial intelligence to predict and validate nuclear data

    An investigation of metallic uranium corrosion in a GDF setting

    Improving the performance of advanced technology fuels

    Atom probe tomography and microscale mechanical testing of neutron irradiated Sizewell B reactor pressure vessel steel

    High performance radiation transport methods with ray effect mitigation

  • Durability of Mg-Si-hydrate-based cements from brucite

    Multi-objective optimisation capability for heterogeneous fuel assemblies

    Analysis of creep-fatigue crack growth behaviour in W-Eurofer97 brazed joints

    ZrO2-corrosion-layers and their grain boundary networks

    Advanced shielding materials for next-generation nuclear fusion power reactors

    Influence of microstructure on the diffusivity of hydrogen in advanced steels

    Effects of nuclear fusion plasma excursions on Eurofer-97 components

    Analysis and interpretation of creep-fatigue growth behaviour

    Fast efficient modelling of hydride reorientation

    Advanced composite nuclear fuels for enhanced performance and accident tolerance

    Characterising creep crack growth behaviour in austenitic steel weldments

    Next generation fluid flow solver for nuclear reactors

    Corrosion of advanced nuclear fuel alloys

    An investigation of corrosion and leaching of carbide fuels in a GDF setting

    Welded joints behaviour in high-temperature reactors

    Advanced nuclear fuel research for next generation reactors

    Predictive modelling of nuclear reactor systems

    Advanced alloy development for a new generation of nuclear fuel

Equality, diversity and inclusion

We are an inclusive and diverse CDT: apart from the minimum entry requirement, we are determined that no one that is motivated to join the programme should be stopped from doing so. Our courses are supported by distance learning so you can learn around your schedule, and there are options for part-time and flexible study if you have existing commitments.

Female PhD student in the lab
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Postgraduates - PhD