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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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Sounds of healthy soil – foundations of acoustic monitoring of soil bioturbation and soil health

Supervisory team. Dr Michal Kalkowski and Dr Siul Ruiz. Soil health underpins numerous processes critical to food security. Current methods for evaluating soil health are local, lab-based, and not scalable. Read more
 Supervisor: Dr M Kalkowski
 30 June 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Unravelling the physico-chemical mechanisms behind collagen formation and the process of collagen mineralisation

  Research Group: Condensed matter and materials physics
Collagen is a key protein in mammals providing the basis for connective tissue, bone, teeth and other important components of the body. Read more
 Supervisors: Dr R Kroger, Dr M Pushkin
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Multi-Fidelity Digital Twins and Machine Learning for the Scale-Up of Flow Processes (Ref: SF-JO-2026/4)

The ‘what’. This PhD will develop multi-fidelity digital twin frameworks, integrating physics-based models and machine learning, to enable reliable scale-up of flow processes (e.g. Read more
 Supervisor: Dr J Oyekan
 31 July 2026  PhD Research Project  Self-Funded PhD Students Only
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Data-Driven Numerical Modelling of Materials for High-Temperature Nuclear and Energy Applications

Next-generation nuclear and fusion energy systems place unprecedented demands on structural and functional materials, which must operate reliably under extreme thermal, mechanical, and environmental conditions. Read more
 Supervisor: Dr G Torelli
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Multi‑Scale Simulations and Generative Design for Net Zero Built Environment

The built environment is responsible for approximately 40% of global carbon emissions [1], making it a critical frontier in the global pursuit of net zero targets. Read more
 Supervisor: Dr M Sajjadian
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Computational Modelling and AI-Based Digital Twins for Hydrogen and Energy Storage in Petroleum and Energy Infrastructure

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
 Supervisor: Dr Amir Siddiq
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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AI-Assisted History Matching and Optimization for Subsurface Reservoirs

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: Dr Y Zhou, Dr Z Lin, Dr J Yang
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Patient-Specific Modelling of Intraoperative Infusion Dynamics Using Time-Resolved MRI

We are offering a fully funded PhD scholarship to develop patient- and tissue-informed models of intraoperative gadolinium (Gd) infusion dynamics using a unique, time-resolved intraoperative MRI dataset from a human clinical trials study. Read more
 Supervisors: Prof W Gray, Dr M Palombo, Dr L Beltrachini, Dr D Gallichan
 19 June 2026  PhD Research Project  Funded PhD Project (European/UK Students Only)
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From Anatomy to Risk: Fast Digital Twins for LAA Thrombosis Risk in Atrial Fibrillation

PhD project description. Atrial fibrillation (AF) significantly increases the risk of stroke, yet current risk scores such as CHA₂DS₂ VASc rely solely on comorbidities and demographics, and ignore patient specific LAA anatomy and haemodynamics. Read more
 Supervisor: Dr G.M.B Bosi
 29 June 2026  PhD Research Project  Funded PhD Project (UK Students Only)
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Advancing the frontier of robotic metal additive manufacturing through mechanistic AI

Robotic metal additive manufacturing offers transformative potential for flexible, large-scale, and high-value metal production. However, its broader industrial adoption is limited by complex process dynamics, limited process understanding, and the lack of reliable control strategies. Read more
 Supervisor: Dr Y Huang
 10 July 2026  PhD Research Project  Funded PhD Project (UK Students Only)
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Hierarchical Failure Analysis and Digital Twin Modelling of Next-Gen Hydrogel Coatings

This project is part of cohort 3 of the EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. Read more
 Supervisors: Dr S F Yang, Dr M Bai, Dr J Wu
 30 June 2026  PhD Research Project  Funded PhD Project (UK Students Only)
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Mitigation of radiation and hydrogen damage with laser peening through multiscale modelling PhD

Cranfield University is seeking highly motivated and accomplished prospective PhD students to conduct cutting-edge research in the degradation of materials at extreme environments. Read more
 Supervisor: Dr G Castelluccio
 29 July 2026  PhD Research Project  Competition Funded PhD Project (Students Worldwide)
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Mathematical and Computational Modelling of Wave-Driven Propulsion

A fully funded PhD studentship is available as part of the ERC Starting Grant SurFSUP (Surfing on Free Surfaces by Undulating Propulsion), led by Dr Graham Benham in the Department of Mechanical Engineering at UCL. Read more
 Supervisor: Dr G Benham
 Year round applications  PhD Research Project  Funded PhD Project (UK Students Only)
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Learning-Augmented FEM–BEM Solvers for Biomolecular Simulations

Electrostatic interactions play a central role in biomolecular processes, including protein–ligand binding, RNA folding, and vaccine design. Read more
 Supervisor: Dr M Bosy
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Active Sensing through Learning: Generalising Perception Across Tasks, Sensors, and Robots

Modern robotic systems are increasingly used in applications in uncertain environments. To perform tasks in such scenarios, robots need more than just motion planning and control—they must also make informed decisions about how and where to sense their environment to support effective operation. Read more
 Supervisor: Dr O Napolitano
 Year round applications  PhD Research Project  Self-Funded PhD Students Only

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