Loughborough University, Leicestershire, England invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Loughborough University, Leicestershire, England.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: A socio-economic impact evaluation on wellbeing and community dynamics of offshore wind farms in the United Kingdom
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. The project is sponsored by industry partner, the Crown Estate of England, Wales and Northern Ireland. The successful applicant will undertake six-month of training with the rest of the CDT cohort at the University of Hull before continuing their PhD research at Loughborough University, with opportunity for a period spent at the Crown Estate headquarters in London.
Deadline : 31 August 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Advanced on-board state estimation of large format lithium iron phosphate battery packs for off-highway applications
Lithium Iron Phosphate (LFP) batteries are now the dominant chemistry in off highway and stationary energy storage applications due to their safety, durability and cost advantages. However, their flat voltage profile, voltage hysteresis and strong temperature dependence make accurate state of charge (SOC) and state of health (SOH) estimation particularly challenging. Existing methods are often inaccurate, non adaptive, or impractical for real time onboard implementation.
This PhD will develop novel on board state estimation methods for large format prismatic LFP cells, combining electrochemical modelling, experimental testing, system identification and control theory. The project will also deliver improved SOH and degradation mode estimation, including knee point prediction.
Deadline : 30 June 2026
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: Artificial Intelligence for the Built Environment (AI4BE)
Artificial Intelligence (AI) already contributes in many ways to improve the built environment in all its life-cycle stages: design, build, operate, decommission. But AI is used in fragmented, specialist, proprietary ways which is preventing the delivery of joined-up outcomes expected by society from the built environment. The lack of integrated information thinking has led to failures in built environment solutions and holds back the potential to create adaptive solutions that can flex based on changing contexts.
The AI4BE Loughborough Centre for Doctoral Training (CDT) will develop AI-skilled, future global leaders who embrace systems thinking, collaborative sharing, and inter-disciplinary pluralism. These skills are essential for AI-informed solutions to a range of built environment challenges, from climate change, globalisation and localisation, to security and resilience, and value for money.
Deadline : 31 July 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Autonomous Wireless Sensing for Long-Term Air Ducts Monitoring in Decommissioning Environment
This project aims to develop a novel solution for condition monitoring of air ducts in nuclear decommissioning sites, by designing, optimising, and testing an autonomous wireless multi-parameter sensing node.
The design aims to integrate airflow energy harvesting, multiparameter sensing and wireless communication. The airflow energy harvester-sensor will autonomously power the sensor node (including corrosion, temperature sensors and wireless communication modules).
The proposed solution is an innovative way to monitor the condition of air ducts in nuclear decommissioning environment, which will create significant impact on the use of digital technologies in nuclear decommissioning. The project is co-funded by the Nuclear Decommissioning Authority Bursary scheme and Loughborough University.
Deadline : 30 June 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Chemical recycling and life cycle assessment of next-generation thermoplastic composites for wind turbine blade manufacture
A major sustainability challenge in the wind energy sector lies in managing the end-of-life of turbine blades. Traditional thermoset composites are difficult to recycle, often ending up in landfill or undergoing energy-intensive disposal processes. This doctoral studentship – jointly supported by the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience and Metol – will advance circular solutions for the next generation of turbine materials.
Metol have recently developed a new low-viscosity thermoplastic resin system designed for large-scale blade manufacture. This project will explore chemical recycling of these materials through solvolysis, aiming to establish an efficient recovery route and quantify its environmental benefits. The student will characterise recovered polymer and fibre fractions using advanced analytical techniques and re-manufacture them into new composite laminates, benchmarking performance against virgin materials.
Complementing the experimental work, a full life cycle assessment (LCA) will be conducted to compare solvolytic recycling with conventional disposal and mechanical recycling pathways. The outcomes will provide crucial data on energy use, carbon footprint, and circularity metrics, guiding future blade design and material selection.
Deadline : 31 August 2026
Polite Follow-Up Email to Professor : When and How You should Write
Click here to know “How to write a Postdoc Job Application or Email”
(06) PhD Degree – Fully Funded
PhD position summary/title: Climate-resilient cathodes for Refuellable Magnesium-Air batteries (CREMA)
The project is hosted within the Centre for Renewable Energy Systems Technology (CREST), which offers access to advanced research facilities, interdisciplinary expertise, and strong links with international collaborators.
CREMA aims to develop climate-resilient air cathodes for refuellable magnesium-air (Mg-air) batteries, addressing a key challenge to their real-world application: instability in humid and high-temperature environments, such as tropical and sub-tropical weather conditions. Mg-air batteries provide high theoretical energy density as an alternative to conventional lithium-based systems, with the added benefit of a refuellable design, where the magnesium anode can be replaced rather than recharged.
The project will focus on designing and engineering catalytic cathodes with improved resistance to moisture and thermal degradation. A main innovation involves creating hydrophobic catalyst surfaces by controlling the solid-air interface, allowing for efficient oxygen reduction reaction (ORR) activity even under difficult environmental conditions. Experimental work will include material synthesis, electrochemical testing in Mg-air flow-cell systems, and advanced surface and structural characterisation to understand degradation mechanisms.
Deadline : 28 June 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Darktrace funded studentships -01
Artificial Intelligence (AI) systems, particularly Large Language Models (LLMs), have demonstrated significant capabilities across diverse application domains. AI agents, autonomous software programs driven by LLMs that can perceive their environment, make decisions, and take actions to achieve goals, have started to be widely used to solve problems in traffic, medicine, research, and software development. Communication between agents and traditional systems has become a significant challenge. MCP (Model Context Protocol) is an open-source standard for connecting AI agents to external systems, including other AI agents, introduced in late 2024 and quickly became a common standard. With MCP, external systems serve as MCP servers to provide services to these AI agents.
Deadline : 21 July 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Darktrace funded studentships – 02
AI generated deepfakes have dual use, they are capable of doing good in good hands but are equally able to cause harm to businesses, governments, and society in general. We see the rise of mis/disinformation spread on social media, where deepfakes have increasingly started to play a central role in this. Generative AI for deepfake attribution and source tracking has the potential to offer mitigation strategies, where it will have a positive impact on helping law enforcement and platforms identify malicious actors and prevent future attacks.
This PhD aims to design a system that not only detects deepfakes but also traces their origin and generative model fingerprint. As such, it examines answering the following research questions:
1) How can generative models be fingerprinted based on their output artifacts?
2) Can attribution techniques reliably identify the origin of deepfakes in real-world scenarios?
3) How can blockchain or distributed ledgers enhance media authenticity verification?
The expected impact-driven research contributions from this PhD are a novel generative model fingerprinting framework for attribution; a secure provenance system for media authenticity; and guidelines for policy and platform integration to combat disinformation.
Deadline : 21 July 2026
Click here to know “How to Write an Effective Cover Letter”
(09) PhD Degree – Fully Funded
PhD position summary/title: Darktrace funded studentships – 03
The purpose of this project is to detect privacy leaks in multimodal medical data, and prevents unauthorised disclosure of confidential personal health information to an external or untrusted environment. In medical data, this leakage is permanent since one cannot cancel the health history or DNA sequence, meaning the exposure can have lifelong consequences. The project has two phases: one to develop an interpretable framework to protect the privacy of multimodal medical data, and two leveraging a dynamically quantified sensitivity knowledge graph to monitor unknown leaks.
Deadline : 21 July 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Developing reduced-order models for long-term wave loading to enable accurate fatigue estimation in offshore wind turbines
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. The scholarship is co-funded, and co-supervised by, HR Wallingford. HR Wallingford are a global expert in water-related challenges, providing research, consultancy, and physical and computational modelling that supports the offshore wind sector internationally. The studentship funds four years full time study (part time options available), including: six-months of multi-disciplinary training, delivered by the University of Hull; and a research programme, based between Loughborough University and HR Wallingford.
Deadline : 31 August 2026
Connect with Us for Latest Job updates
(11) PhD Degree – Fully Funded
PhD position summary/title: Enhancing Membrane-Free Alkaline Electrolysis for Sustainable Hydrogen Production
Capturing and storing energy from the unpredictable and intermittent resources of wind and solar is necessary to slow the climate crises caused by fossil fuel emissions. Using the renewable energy to produce hydrogen via membrane-free alkaline water electrolysis is among the most promising ways to achieve this without depending on other limited resources. However, there is a need to accelerate improvements in the efficiency and stability of this technology using cost-effective solutions. Thus, this research aims to:
- develop novel electrode materials and geometries to reduce overvoltage
- develop novel cell and stack configurations to minimise the electrical energy consumption per kg of hydrogen.
Your research will synthesise novel electrode materials, characterise their properties and evaluate their electrocatalytic performance in membrane-free alkaline electrolysers. You will study the effects of the geometry and surface chemistry of electrodes, as well as the local flow rate of electrolyte on the bubble dynamics in the electrolysers. Most of these activities will be based at Loughborough University where you will have access to a variety of instrumentation for electrochemical analysis, product gas analysis as well as advanced material characterisation.
Deadline : 31 July 2026
Polite Follow-Up Email to Professor : When and How You should Write
(12) PhD Degree – Fully Funded
PhD position summary/title: Extending an Integrated Urban Simulation Model for Healthy, Sustainable Cities
You will join a team at Loughborough University that has developed one of the most sophisticated integrated urban simulation platforms in the world. The SILO–MITO-MATSim modelling suite links land use, travel behaviour, and transport network assignment to simulate how the built environment shapes individual exposure to health risks and benefits — from air pollutants and noise to physical activity and green space access.
This PhD offers you the opportunity to extend the modelling suite in a direction that excites you, with a focus on generating policy-relevant evidence. Possible directions include — but are not limited to:
- Climate adaptation and behaviour: modelling how extreme weather, indirect price shocks, and climate-driven disruption affect travel and health outcomes
- Decarbonisation and fleet electrification: dynamically representing the transition to electric vehicles and its unequal health and cost impacts across households
- Housing, wealth, and health inequalities: extending the dwelling model to capture how housing affordability and neighbourhood conditions shape health
- Air quality and exposure modelling: improving the dispersion modelling that sits between transport emissions and personal exposure
- Activity-based travel modelling: transitioning from a tour-based to a full activity-based model to better capture how people organise their daily lives
- Transport costs and cost of living: representing the financial pressures on households and their implications for travel choices and health
Deadline : 29 July 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: Human-in-the-loop machine learning for drone-assisted Structural Health Monitoring
Inspections of offshore wind turbines, such as identifying damage or ice on turbine blades, anticipating its effects and making decisions on maintenance and repair, as well as estimating remaining useful life (RUL), is an important part of extending the lifetime of a wind turbine as well as the power that can be generated from it. While both tasks are often driven by experts, public data on environmental, meteorological or physical conditions, in combination with satellite and/or climate data, can help make predictions for new, unseen conditions.
The latter is particularly relevant when data is sparse. While public data exists on general environmental conditions and turbine power yield, data around specific combinations of operational and environmental conditions is not always readily available — this is particularly the case for new generations of floating or far offshore turbines, which are much harder to reach and inspect than previous generations much closer to shore, and for which less historical data is available.
This project aims for two key research advances: first, the development of a new human-in-the-loop active learning framework [2, 3], which uses conversational AI to negotiate key decisions related to turbine inspection and maintenance with a human expert [4, 5]. This can be based on a deep reinforcement learning framework, which interactively optimises key performance indicators in the form of a human-expert informed reward function. Second, we aim for the integration of low-energy machine learning algorithms, so that the resulting AI model can run on a variety of devices, including UAVs (e.g., drones) that may be used in turbine inspection.
Deadline : 31 August 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Hybrid additive/subtractive manufacturing technology: advanced ceramic manufacturing for aero-applications
This project aims to develop the material mix and process parameter to successfully 3D print advanced ceramics on a hybrid multi-material manufacturing technology. This technology consists of an extrusion-based additive manufacturing capable of extruding ceramic pellets and thermoplastic material, and a vertical three-axis high-RPM milling machine, capable of manufacturing highly complex, most accurate, and enclosed products, where internal structures are not accessible to the machine after full 3D printing and need to be machined while printing.
Deadline : 30 June 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: Hybrid additive/subtractive manufacturing technology: design, development and validation for ceramics used in bio-implants
This project aims to develop a hybrid multi-material manufacturing technology, consisting of an extrusion-based additive manufacturing capable of extruding ceramic pellets and thermoplastic material, and a vertical three-axis high-RPM milling machine. This hybrid machine runs two moving build platforms, making the system capable of utilising both AM and Milling units at the same time. These beds swap places to machine every layer of printing before the bed goes back to the AM station for the next layer of printing; hence making the machine capable of manufacturing highly complex, most accurate, and enclosed products, where internal structures are not accessible to the machine after full 3D printing and need to be machined while printing.
Deadline : 30 June 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: Integration of physical activity support into the NHS cancer care pathway
Unequivocal evidence confirms that physical activity during chemotherapy for some cancers is safe and helps patients cope better with cancer treatment and associated side effects. Physical activity can reduce the risk of cancer recurrence and ultimately can improve chances of survival by up to 40%. Physical activity for those living with and beyond cancer is endorsed by the World Health Organisation through the development of guidelines. However, physical activity support is not part of the NHS cancer care pathway in the UK and patients are not routinely informed about the potential harm of inactivity on their chances of survival.
Deadline :30 July 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: Law Home PhD Studentship
Loughborough Law is committed to critical, socio-legal and interdisciplinary research, exploring the relationship between law and social justice, and working collaboratively and creatively to make change in the world. We invite applications for a fully-funded home PhD student to join our research community. We particularly welcome research proposals aligned with the following areas of research strength within the department:
- Contemporary governance and regulation
- Feminisms, queer politics, LGBTIQ+ rights and social movements
- Bodies and embodiment
- Histories, time and futures
- Capital, value, economies and welfare states
- Colonialism, empire, anti-racist and decolonial legal thought
- Creative methods and legal provocations
Deadline : 31 July 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: Nanoparticle-reinforced coatings for leading edge protection of offshore wind turbine blades
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. The successful applicant will undertake six-month of training with the rest of the CDT cohort at the University of Hull before continuing their PhD research at Loughborough University, supported by industry partner, Trelleborg.
Deadline : 31 August 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Parameterising wakes for oceanographic models
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. This project is supported by Centre for Environment, Fisheries and Aquaculture Science (CEFAS) and The National Oceanography Centre (NOC) . The successful applicant will undertake six-months of training with the rest of the CDT cohort at the University of Hull before continuing their PhD research at Loughborough University.
Deadline : 31 August 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: Perceptive Sensors and AI-embodied Wearable Electronics
This PhD project will focus on emerging paradigms of AI-embodied wearables and biologically-inspired computational machines that combine advanced materials science and manufacturing to create natural human-machine interfaces for applications in sport science and technology, assistive healthcare and augmentation of human capabilities.
Inspired from natural sensory processes, our research develops wearable electronic platforms that both mimic and extend human sensing capabilities with improved performance and skin-compliant form factor. Recent advances include low-power wearable electronics, smart textiles, on-body energy harvesters, and low-dimensional materials integration in computationally- and energy-efficient neuromorphic computing devices.
Deadline : 28 June 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: Single-turbine scale quantification of wake turbulence
Individual wind turbines produce turbulent wakes that have implications for maximum power generation from downwind turbines, increased fatigue loads and associated maintenance costs (Porté-Agel et al., 2020) . There are also associated environmental issues such as noise generation, and the introduction of large-scale flow structures to the atmospheric flow field. There have been a number of studies of these phenomena and Howard et al. (2015) and Kadum et al. (2019) have undertaken detailed studies of aspects of these dynamics. At the heart of this project is an attempt to develop deeper understanding of these phenomena in terms of the flow physics and to provide practical modelling methods that correctly represent these physics.
Of particular interest is the nature of the non-local energy transfers identified in the references cited above. Hence, this project will consider the non-equilibrium energy scaling for near-field wakes and how these effects can be captured in subgrid-scale models. Furthermore, we are interested in understanding how these non-local energy transfers relate to the behaviour of the flow’s pressure field, which provides another dimension to model development (Keylock, 2018).
Deadline : 31 August 2026
About Loughborough University, Leicestershire, England –Official Website
Loughborough University (abbreviated as Lough or Lboro for post-nominals) is a public research university in the market town of Loughborough, Leicestershire, England. It has been a university since 1966, but it dates back to 1909, when Loughborough Technical Institute began with a focus on skills directly applicable in the wider world. In March 2013, the university announced it had bought the former broadcast centre at the Queen Elizabeth Olympic Park as a second campus. The annual income of the institution for 2022–23 was £369.1 million, of which £48.3 million was from research grants and contracts, with an expenditure of £339.1 million.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
Related Posts
