17 Fully Funded PhD Programs at University of Sheffield, Sheffield, England

Explore Fully Funded PhD opportunities at the University of Sheffield, Sheffield, England across a range of departments. Apply now to be considered for these prestigious positions.

1. Fully Funded PhD Programs in Enhanced Remediation of Radionuclide Plumes through Chaotic Advection and Dynamic Pump-and-Treat Control

Summary of PhD Project 

This interdisciplinary PhD project aims to develop a novel remediation strategy that enhances PAT performance through chaotic advection, a mechanism that induces complex, yet controlled, subsurface flow fields to improve mixing. By cycling injection and extraction wells out of phase, the project will test whether mixing and reaction zones can be intensified, thereby accelerating contaminant breakdown or immobilisation. The potential for this approach to improve the performance of permeable reactive barriers (PRBs) will also be considered.

Application Deadline: Open Until Filled

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2. Fully Funded PhD Programs in General Interest Application – CDT in Green Industrial Futures, University of Sheffield

Summary of PhD Project 

The CDT-GIF has now filled a number of projects for Cohort 2 (starting in October 2025). However, we are continuing to take applications for the remaining projects. We are now accepting applications listed by university (rather than by project). The University of Sheffield is hosting project options across a range of areas, including but not limited to AI-based analysis of environmental datasets, future-proofing sustainable aviation fuel supply chains, and modelling integrative systems for hydrogen and carbon removal technologies. Supervisors work closely with industry partners, and we welcome applicants interested in energy, sustainability, and data-driven solutions

Application Deadline: 28 July 2025

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3. Fully Funded PhD Programs in AI-Enhanced Healthcare – Leveraging Multimodal Data Integration for Impactful Innovation

Summary of PhD Project 

Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers are at the forefront of this revolution, designing and implementing AI systems that can diagnose diseases, personalise treatments, monitor patients, and empower individuals. This research aims to advance data engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources.

Application Deadline: Open Until Filled

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4. Fully Funded PhD Programs in A Machine Learning Enabled Physical Layer for 6G Radio Systems

Summary of PhD Project 

In wireless networks, the “Physical Layer” is the hardware and software that supports over the air communication between a device (e.g., a smartphone, tablet, or any gadget) and the network (e.g., a base station or access point). The Physical Layer enables a device or base station to send and receive data wirelessly in defined radio frequency bands. Building a better Physical Layer provides a more reliable connection across different operating environments using sustainable technology. This is important as the project proposes using sub-THz frequency bands.

Application Deadline: Open Until Filled

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5. Fully Funded PhD Programs in Revitalizing Groundwater Risk Models: Integrating NSZD into CoronaScreen for Sustainable Solutions

Summary of PhD Project 

The project will refine and extend CoronaScreen to better incorporate natural attenuation processes, particularly Natural Source Zone Depletion (NSZD), into groundwater risk assessment methodologies. While NSZD has been studied for certain contaminants, including petroleum hydrocarbons, its broader application across various contaminant types—such as dissolved phase organics, metals, and emerging pollutants—remains an area of ongoing research.

Application Deadline: 31 July 2025

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6. Fully Funded PhD Programs in Developing a Developmentally Appropriate AI Chatbot to Support Young People with Inflammatory Bowel Disease Transitioning to Adult Healthcare

Summary of PhD Project 

Inflammatory bowel disease (IBD) is a chronic condition affecting the gastrointestinal tract, with peak incidence in adolescents and young adults. The transition from paediatric to adult healthcare services is a critical period for young people (YP) with IBD, often accompanied by increased risk of non-adherence, disease exacerbation, and psychosocial challenges. Evidence suggests that the lack of structured transitional care negatively impacts clinical outcomes and quality of life (Sipanoun et al., 2024). 

Application Deadline: 06 August 2025

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7. Fully Funded PhD Programs in Early-stage failure prediction in fusion materials using machine learning

Summary of PhD Project 

In fusion reactors, materials experience extreme temperatures, stresses, and radiation damage. Safe operation requires identification of deformation patterns that are early warning signs of materials failure. These characteristic patterns result from the interaction of deformation mechanisms across multiple scales making detection via traditional analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage fingerprints for damage hidden in the data.

Application Deadline: Open Until Filled

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8. Fully Funded PhD Programs in Interplay between Algorithms and Combinatorics

Summary of PhD Project 

The synergies between computer science and combinatorics have led to many ground-breaking results in the past decades. The goal of this project is to explore new and old connections between computational and combinatorics problems, in order to make progress on long-standing problems. 

Application Deadline: 31 July 2025

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9. Fully Funded PhD Programs in Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models

Summary of PhD Project 

This project aims to investigate methods for robust explanation-based reasoning in natural language, driven by the integration of Large Language Models (LLMs) and Symbolic AI techniques. Recent advances in NLP have demonstrated that explanation-based methods, such as Chain-of-Thought (CoT) prompting, can enhance the reasoning capabilities of LLMs by decomposing complex problems into intermediate inferential steps. Despite their plausibility, however, LLM-generated explanations often lack robustness, being sensitive to input variations and unable to generalise across different problems and domains.

Application Deadline: 31 July 2025

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10. Fully Funded PhD Programs in Application of Closed-loop control for EBeam Powder Bed Fusion manufacture of Tungsten – employing Dynamic Process Themes and Microstructural Control in Fusion Engineering component manufacture

Summary of PhD Project 

This EngD research aims to revolutionize Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within the manufacturing process, the study seeks to implement dynamic process themes that adapt to real-time thermal variations – and in so doing control precisely the microstructures that can be developed Metals and alloys in the Electron Beam Process. By integrating closed-loop control mechanisms, this project aims to enable the production of novel component architectures in W and Smart-W for Fusion, exerting precise microstructural control to enable their use in future fusion reactor programmes.

Application Deadline: 31 July 2025

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11. Fully Funded PhD Programs in Unlock the Future of Turbo Gas Seal Technology with John Crane Ltd!

Summary of PhD Project 

Join a cutting-edge, fully-funded PhD project sponsored by John Crane Ltd, a global leader in engineered technologies and part of the prestigious Smiths Group. Work as part of the Thermofluids Group in the Department of Mechanical Engineering at the University of Sheffield, and embark on this transformative PhD project!

Application Deadline: 30 September 2025

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12. Fully Funded PhD Programs in Drive Innovation in Hydrogen Technology. Project: High-Pressure Hydrogen Generation, Storage, and Use – Shape the Future of Clean Energy with Us!

Summary of PhD Project 

Are you passionate about renewable energy and cutting-edge engineering? Do you want to tackle the challenges of sustainable hydrogen technologies? The University of Sheffield’s Leonardo Centre, a global leader in tribology research, invites a motivated and curious student to embark on an exciting PhD journey. This opportunity is generously funded by John Crane Ltd, a world-renowned engineering technology leader.

Application Deadline: 30 September 2025

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13. Fully Funded PhD Programs in Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage!

Summary of PhD Project 

Are you ready to push the boundaries of engineering innovation and accelerate the world’s transition to carbon-neutral energy systems? Join the Thermofluids Group in the Department of Mechanical Engineering at the University of Sheffield, and embark on a transformative PhD project funded by John Crane Ltd, a global leader in engineering technology.

Application Deadline: 30 September 2025

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14. Fully Funded PhD Programs in Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements

Summary of PhD Project 

This PhD uses advanced spectroscopic approaches to understand nanostructural development and phase evolution in modern cements formulated with SCMs, and identify which are the key physical and chemical characteristics of SCMs that influence nanostructural development in these cements. It will use advanced spectroscopic approaches such as solid-state nuclear magnetic resonance spectroscopy, X-ray absorption spectroscopy, and infrared spectroscopy, including experiments to study reaction and nanostructural development in situ. This will be complemented by other experimental approaches to study cement reaction mechanisms and kinetics.

Application Deadline: Open Until Filled

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15. Fully Funded PhD Programs in Collective morphodynamics in the central nervous system

Summary of PhD Project 

This project aims to understand how cells in the central nervous system efficiently fill space during development -a process critical for optimizing functions like sensory information processing and fluid transport. However, we still don’t fully understand how seemingly independent components, like neurons, glial cells, and vascular structures, work together to achieve optimal tissue coverage. By unraveling these mechanisms, we hope to uncover the physical rules of this optimal arrangement, much like solving the puzzle of the perfect tetris game!

Application Deadline: Open Until Filled

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16. Fully Funded PhD Programs in Next-generation low-carbon cement wasteforms for safe disposal of radioactive waste

Summary of PhD Project 

This PhD examines fluid-particle and particle-particle interactions in LC3 encapsulants produced from a suite of high and low-grade precursor powders, benchmarked against common PC-based encapsulants. It adopts a new in-situ characterisation approach (including surface-specific techniques, spectroscopic and microstructural characterisation) to investigate mechanisms and kinetics of fluid-particle and particle-particle interactions, and effects on performance. 

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17. Fully Funded PhD Programs in Reconfigurable metamaterials for mmwave applications

Summary of PhD Project 

The demand for lightning-fast data rates in the era of 5G, 6G, and beyond is skyrocketing. To meet this challenge head-on, we are looking for talented engineers/physicists to carry out research in Reconfigurable Intelligent Surfaces (RIS) and metasurfaces for mmwave applications. This PhD project focuses on developing cutting-edge technology that not only enhances signal coverage but also revolutionizes the way we control antennas, reducing system complexity, and paving the way for high-speed, efficient mobile communications.

Application Deadline: Open Until Filled

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