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We have 69 physics informed PhD Projects, Programmes & Scholarships

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physics informed PhD Projects, Programmes & Scholarships

We have 69 physics informed PhD Projects, Programmes & Scholarships

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Physics-Informed Digital Twin for Coupled Mechanical–Moisture–Carbonation Behaviour in Biochar-Enhanced Low-Carbon Concrete

Project summary. Ready to engineer a greener future? Working closely with a major industry partner , you'll build a state-of-the-art Digital Twin to unlock the carbon-capturing power of biochar-enhanced concrete. Read more
 Supervisor: Dr M IMRAN
 30 July 2026  PhD Research Project  Funded PhD Project (UK Students Only)
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Physics-Informed Digital Twin for Guided Wave-Based Structural Health Monitoring (SHM) of Offshore Wind Turbine Foundations

  Research Group: Dynamics Research Group
This PhD scholarship is offered by the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience; a partnership between the Universities of Durham, Hull, Loughborough and Sheffield. Read more
 Supervisors: Dr T Rogers, Dr P Xu, Dr H Laalej
 Year round applications  PhD Research Project  Funded PhD Project (UK Students Only)
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The formation and evolution of star-forming filaments

CONTEXT. Filaments play a critical role in star formation. Read more
 Supervisors: Prof A Whitworth, Dr ADC Duarte Cabral
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Star Formation Triggered by Colliding Interstellar Clouds

CONTEXT. Much of the interstellar gas in a galaxy like the Milky Way is in dense molecular clouds. When these clouds enter a spiral arm, they merge to form larger clouds, and are compressed to higher densities. Read more
 Supervisors: Prof A Whitworth, Dr P Clark
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Autonomous technologies in structural health monitoring for sustainable lightweight structures

Description of Project. Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training (CDT) in Net Zero Aviation. Read more
 Supervisors: Dr A Kundu, Dr C A Featherston
 19 June 2026  PhD Research Project  Funded PhD Project (Students Worldwide)
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Data-Driven Physics-Informed Reliability Prediction of Power Electronics for Net Zero Applications

Start date. 30 September 2026. Power electronics are essential for converting power in many net-zero applications, including electrified transportation and renewable energy systems. Read more
 Supervisors: Dr SW Wang, Dr W Song, Prof DF Flynn
 15 June 2026  PhD Research Project  Funded PhD Project (Students Worldwide)
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Physics-informed AI for virtual magnetic resonance elastography (vMRE)

We will build the AI engine that converts routine diffusion MRI (DTI) into quantitative maps of brain viscoelasticity—shear modulus (G) and damping ratio (ζ)—without the hardware and extra scan time required for conventional MRE. Read more
 Supervisor: Dr VS Shim
 Year round applications  PhD Research Project  Funded PhD Project (Students Worldwide)
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Physics-Informed Machine Learning for Corrosion Prediction

The global infrastructure landscape is dominated by ageing assets, many of which were not designed with today’s loading and environmental challenges in mind. Read more
 Supervisor: Dr S Rengaraju
 Year round applications  PhD Research Project  Funded PhD Project (UK Students Only)
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Marie Skłodowska-Curie Doctoral Network Researcher / Physics based anomaly detection, and diagnostics and AI safety in energy storage systems

About the role.  Within the framework of the project “Grid-scale Energy Storage. Imperatives for Accelerating the Green Transition (RESTORATIVE)”, funded by the European Union’s Horizon Europe’s Research and innovation Programme under the Marie Skłodowska-Curie Grant Agreement No. Read more
 Supervisor: Dr E Lupu
 24 June 2026  PhD Research Project  Funded PhD Project (European/UK Students Only)
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AI informed surrogate laser-material thermal models based on high-fidelity multi-physics modelling and test data

  Research Group: Applied Mathematics, Computational Metallurgy
The modelling of laser-material interactions is a complex multi-physics problem, very computationally intensive and often relies on detailed and expensive characterisation of the material's thermo-physical properties. Read more
 Supervisors: Dr T Flint, Prof J Robson
 Year round applications  PhD Research Project  Funded PhD Project (UK Students Only)
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Physics-Embedded Perception and Predictive Modelling for Resilient Human-Robot Collaboration

Human-robot collaboration (HRC) is becoming central to manufacturing, healthcare and service robotics, where robots must share dynamic spaces with human partners. Read more
 Supervisor: Dr K Qian
 Year round applications  PhD Research Project  Competition Funded PhD Project (UK Students Only)
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AI-based modelling of perforated surfaces in complex flows for noise control

Supervisory Team. Dr Long Wu. This project uses physics-informed machine learning to model how perforated surfaces contribute to noise reduction in complex flows. Read more
 Supervisor: Dr L Wu
 31 July 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Design and Optimization of Concentrated Photovoltaic-Thermal Systems for Solar Hydrogen Production

Green hydrogen production through solar-powered water electrolysis represents a critical pathway toward achieving global decarbonisation targets. Read more
 Supervisor: Prof C Chong
 Year round applications  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Learning to Leverage Complex Morphologies: Data-Driven Modeling and Intelligent Control for Unconventional Robots

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more
 Supervisors: Prof S Aphale, Dr A San-Millan
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Artificial intelligence for environmental fluid dynamics modelling

Supervisory team. Dr Gustavo de Almeida and Dr Sergio Maldonado. This exciting PhD project explores the use of Physics-Informed Neural Networks (PINNs) to model complex environmental flows. Read more
 Supervisor: Dr G A M de Almeida
 31 July 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)

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