Swansea University, Wales, United Kingdom 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 Swansea University, Wales, United Kingdom.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Business and Marketing: Fully funded ESRC WGSS PhD in Management and Business (RS816)
Energy poverty (EP) is a pressing socio-economic challenge in the UK, disproportionately affecting households with limited financial resources and poor-quality, energy-inefficient housing. Recent figures indicate that approximately 6.7 million households were classified as fuel poor in 2023, underscoring the urgency of the issue. The consequences of EP extend far beyond financial hardship, contributing to serious health risks, reduced well-being, and increased strain on public services.
This project directly addresses the need for more effective, data-driven EP interventions by developing advanced, explainable machine learning (ML) models that continuously learn from a rich array of historical and socio-economic data. These include household income, energy expenditures, dwelling characteristics, and property conditions. The primary objective is to accurately predict households at risk of energy poverty, enabling timely and targeted responses from policymakers, energy suppliers, and social services. Early identification can help mitigate long-term social, economic, and health impacts—ultimately improving quality of life and reducing inequality.
Deadline : 09 May 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: DBA (Value-Based): Fully funded Welsh Government Doctor of Business Administration, DBA (Value-Based Health and Care Academy Scholarship) (RS782)
As a result of a change in funding allocation, we are able to offer a limited number of full-fee scholarships available specifically for those researching projects in the field of Value-Based Health and Care.
The Swansea School of Management DBA is a part-time professional doctorate designed for senior managers and leaders in all sectors; private, public and not-for-profit.
In this programme, learners engage in applied research, bringing established and cutting-edge theories to bear on their practical organisational issues. You will develop and enrich practice in your field, as well as contribute to our understanding of the underpinning theoretical base for the work.
The structured approach offered by the Swansea DBA is based on six modules over three years, blending lectures, guest talks, workshop discussions and student presentations. The doctoral thesis is developed in parallel under guidance from a doctoral supervisory team allocated at the start of the programme.
The Swansea School of Management DBA is designed to develop critical thinkers and practitioners who will reflect on their impact on their organisations and society more generally.
Deadline : 19th May 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: Microbiology and Immunology: Fully Funded PhD Studentship: Tumour Growth (RS813)
Ovarian cancer is the deadliest of all gynaecological cancers (>2000 deaths/year, UK). It is described as a silent killer as most diagnoses occur after it has spread to the peritoneal cavity (metastasis). It is known that peritoneal cells contribute to the growth of metastatic tumours. Previously, it was demonstrated that an immune cell-produced metabolite promotes peritoneal tumour growth (https://doi.org/10.1172/jci99169). However, a host of interconnected metabolic and immune pathways likely regulate tumour progression.
Identification of these novel mechanisms will provide new targeted therapeutic strategies for ovarian cancer.
The current MRC New Investigator Grant focuses on peritoneal dialysis for kidney disease and aims to add metabolites/drugs to improve this treatment, but this also opens the exciting possibility for using peritoneal dialysis as a tissue-targeted drug delivery tool for metastatic ovarian cancer. This includes utilising existing chemotherapies (e.g. Carboplatin) and targeting new peritoneal-specific mechanisms that promote tumour growth.
Deadline : 14 May 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: Zoology, Evolution, Behaviour: Fully Funded PhD Studentship on Intergroup conflict and the evolution of animal societies: the role of scent communication and the microbiome (RS810)
A major goal of evolutionary biology is to understand how cooperation and teamwork can evolve in the face of selection for self-interest. Classic research on this question has shown that factors that operate within the group, such as kinship and reciprocity, can select for altruism. Yet there is now substantial evidence from humans and other social animals that interactions between groups (such as intergroup conflict) can also exert a profound influence on social behaviour.
Interactions between individuals and social groups require communication, however we have relatively poor understanding of the mechanisms underlying communication and how they relate to the evolution of cooperation and conflict. Here, you will investigate such mechanisms in banded mongooses, an African mammal displaying substantial cooperation within social groups, and serious (often lethal) conflict between groups.
Banded mongooses (as with many other mammals) rely heavily on scent communication. A key source of scent comes from specialised anal glands which produce a diverse range of chemicals that are likely involved in communicating information essential for social behaviour, such as sex, reproductive status, age, dominance, genetic diversity, and (crucially for interactions within and between groups) the identity of the individual and social group they belong to. Furthermore, scents are stored in glands prior to being deposited in the environment, and these glands have a rich microbial flora. There is some evidence from other mammals that microbes influence scent, but we do not have a good understanding of the microbial composition of scent glands or how these microbes influence scent communication within and between social groups.
Deadline : 5 May 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: Surface Science: Fully Funded PhD Studentship in the effect of rotational polarisation on gas-surface reactivity (RS805)
Hydrogen is the most abundant molecule in the universe, and it’s interaction with surfaces plays a key role in a huge range of processes, from star formation to the safe storage of rocket fuel, to industrial catalysis and green energy production. The aim of this PhD project is to study hydrogen colliding with surfaces at a fundamental, molecular level to gain unprecedented insight into the role that rotations play in gas-surface collisions.
The group the student will join uses and further develops a unique Magnetic Molecular Interferometer (MMI) apparatus which allows us to control and manipulate the rotational orientation projection states of hydrogen molecules in gas-surface collisions, which can classically be considered to correspond to whether the molecules are preferentially rotating like a helicopter or a cartwheel before they collide with the surface. The PhD project, which forms part of a Future Leaders Fellowship project (MR/X03609X/1), will explore whether changing the rotational orientation projection state of H2 molecules affects the probability that energy is transferred between the molecule and a surface as well as the reactivity of H2 with a surface.
This project will involve using and further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge of, for example, molecular and atomic beams, ultra-high vacuum systems, cryogenic technologies and a range of measurement and surface science techniques. They will also analyse the experimental data, developing techniques to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine how best to perform the measurements to maximise the information that can be obtained.
Deadline : 05 May 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: Sports and Exercise Science: Fully Funded PhD Studentship in SMART Rugby (Statistical Machine Analysis for Rugby Team Success) (RS811)
This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate will work with a comprehensive dataset spanning multiple seasons of elite competition, featuring team KPIs, individual player and ball GPS tracking data, and player wellness information.
The project centres on developing predictive frameworks that accurately forecast match outcomes and league positioning through sophisticated data analysis. The candidate will implement machine learning techniques to identify latent patterns in the data, construct hierarchical models integrating individual and team metrics, and employ time-series analysis across seasons. These models will be enhanced with individual player metrics, we will investigate the use of scale-free frameworks such as, topological data analysis, to connect multi-level data streams to improve current models.
This project offers significant opportunities to contribute to both theoretical understanding of sports analytics and practical applications for elite teams. The successful candidate will develop expertise in applying cutting-edge computational methods to complex, real-world problems while producing publications for high-impact journals. Ideal candidates will possess strong quantitative skills, programming experience, and an interest in applied machine learning in sports performance contexts.
Deadline : 05 May 2025
(07) PhD Degree – Fully Funded
PhD position summary/title: Nonlinear Structural Dynamics: Fully Funded PhD Studentship in Design and Fabrication of a MEMS sensor (RS815)
This project will be conducted at Swansea University, utilising the world-class facilities of the MEMS Excellence Centre, which is renowned for its cutting-edge research in microelectromechanical systems. The study focuses on the fundamental design, analysis, optimisation, and investigation of nonlinear dynamics in MEMS sensors, with a particular emphasis on enhancing sensitivity through nonlinearity.
The objective of the project is to thoroughly examine the influence of factors such as geometry, noise sources, and nonlinearities on critical performance parameters, including bandwidth, resolution, sensitivity, and operational range.
The primary application of the research is in biomedical engineering, specifically in the development of MEMS-based sensors for robotic surgery. Robotic surgery imposes stringent requirements on sensor design, demanding high precision, robustness, and resilience to challenging conditions, such as mechanical vibrations and dynamic forces. The project aims to design, simulate, and fabricate MEMS sensors that meet these exacting standards, advancing the capabilities of existing sensor technologies.
The final phase involves comprehensive testing of the fabricated MEMS sensors to ensure compliance with performance, reliability, and durability standards for use in surgical robotics. These tests will confirm the sensors’ ability to operate accurately and consistently under demanding conditions.
Deadline : 05 May 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: Mechanical Engineering: Fully Funded MSc Studentship in New finite element workflows for innovative pipe connector design (RS807)
Effective and economical pipe connection systems are fundamental for industrial flow technologies. Applications range from renewable energy and chemical processing to hydraulic systems and oil and gas technologies. They are indispensable for many technologies needed to address today’s environmental and economic challenges. Pipe connectors must remain functional and prevent leakage under various static and dynamic mechanical loads and environmental conditions.
In order to facilitate the innovation of design and material selection for the pipe connectors required in new applications, the computer simulation of the pipe connectors under various boundary conditions is fundamental. New designs have to pass a series of different tests, many of which are defined by industrial standards.
The objective of this project is the development of new software based automated workflows which will be centred around finite element simulation and allow for accelerated technical innovation. Scenarios to be investigated include exposure to fire and critical static and dynamic loads. The methodology will be based on finite element and scripting software such as ABAQUS and Python. The project will be supervised jointly by Professor Wulf G. Dettmer (Swansea University) and Dr David Winfield (Freudenberg Flow Technologies).
Deadline : 05 May 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: Energy Storage: Fully Funded SURES PhD Scholarship in the development of polymer electrolytes for fluoride ion batteries (RS799)
Swansea University is pleased to offer fully-funded Swansea University Research Excellence Scholarships (SURES) for full-time doctoral students to its seventh cohort, commencing in October 2025.
Each SURES scholarship includes tuition fees and a stipend – reviewed annually at the UKRI standard rate and a £1,000 annual training allowance to support immersive training experiences, conference attendance, engagement with industry and international collaborative opportunities.
Each scholarship is offered for a maximum period of three years; SURES students are expected to submit their theses within this timescale.
Lithium-ion batteries (LIBs) power portable electronics, electric vehicles (EVs), and grid storage. The large adoption and production of LIBs pose severe constraints on their resources (mainly Li, Co, and Ni) and, as a result, raise their cost. High-energy, sustainable, and safe alternative energy storage systems are required to phase out petrol and diesel vehicles and support intermittent energy sources. Alternative battery technologies like sodium-ion batteries (SIBs) would replace LIBs in grid storage applications, but their energy density is not significant enough to be considered for EVs. Furthermore, the safety of SIBs is a big concern, similar to LIBs. Battery development with new chemistries is urgently needed, and these could be viable alternatives to LIBs in terms of energy and power density.
Deadline : 05 May 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: Electronic and Electrical Engineering: Fully Funded EPSRC iCASE and Siemens PhD Scholarship: Gallium Nitride High Voltage Power Management (RS792)
The project will work alongside a leading industrial partner (Siemens), which brings together a number of world leaders in power electronics and energy conversion to develop solutions for Industrial motor drives as a primary application as well renewable energy as a secondary application. . The purpose is to improve the UKs energy infrastructure in applications such as manufacturing, warehousing, utilities supply, food & beverage processing and many others as we move into a low carbon economy. A paradigm shift in technology will be required in order to cope effectively with an ever-increasing amount of renewable energy being brought online. It is envisaged that other forms of renewable energy e.g. tidal, solar could also play a role alongside traditional coal fired power stations and nuclear energy generation. Revolutionary changes to power conversion is indispensable if these carbon emissions targets are to be met. The objective is to enable a step change in power density, energy efficiency, sustainability in transmission and distribution through novel power electronics solutions and products based on new materials. At the heart of such systems are power semiconductor devices.
Deadline : 5 May 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: Electronic Engineering: Fully Funded PhD Studentship in next-generation Wide-bandgap Materials and Devices (RS809)
Silicon has traditionally dominated as the semiconductor for power electronics, but its inherent limitations such as narrow bandgap (and thus operating voltage) have led to an increasing focus on next-generation wider bandgap compound semiconductors with superior characteristics. Understanding and developing these wider bandgap semiconductors will be the focus of this PhD project with a particular focus on more efficient power electronics to facilitate societal progress toward Net Zero. Activities will include: i) the application of advanced characterisation to understand the structure-property relationships in newly-developed SiC and GaN devices and materials; and ii) the growth and characterisation of emergent semiconductors with ultra-wide gaps based upon gallium oxide (Ga2O3) and its alloys utilising Swansea University’s state-of-the-art new industrial-grade AIXTRON Metal Organic Chemical Vapour Deposition (MOCVD) epitaxy reactor.
This exciting PhD project will be undertaken in close collaboration with (and is sponsored by) one of the world’s leading compound semiconductor epitaxy companies (IQE). It will be hosted by and use the full facilities of the new Centre for Integrative Semiconductor Materials (CISM) – Swansea University’s flagship £55M facility for advanced semiconductor research and development. This is an outstanding opportunity for materials science, electrical / electronic engineering, chemistry or physics graduate to be part of the semiconductor for net-zero revolution.
Deadline : 5 May 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: Computational Mechanics: Fully Funded PhD Studentship on the computational framework for high-speed multi-material impact (RS803)
Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the Defence Sector (source: the UK Atomic Weapons Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational framework exploiting the use of physical and geometrical conservation laws in a variety of spatial discretisation schemes (i.e. Finite Element, Finite Volume, Meshless). The resulting conservation-type formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context of Computational Solid Dynamics.
Deadline : 5 May 2025
(13) PhD Degree – Fully Funded
PhD position summary/title: Chemical Engineering: Fully Funded PhD Studentship in the Novel Heterogeneous Catalytic Process for Net-Zero Water Industry (RS804)
In the UK, industries such as pharmaceuticals, food processing, and agriculture generate significant amounts of organic wastewater. Annually, the UK produces 2.4 billion cubic meters of wastewater, with about 50-70% being organic. Environmental regulations, including the Water Resources Act 1991, the Environmental Protection Act 1990, and the Water Industry Act 1991, mandate that wastewater must be treated before being discharged into the environment. Thus, these industries require effective wastewater treatment solutions to mitigate environmental impacts and comply with regulations. However, conventional treatment technologies face limitations related to high energy consumption and inefficiencies in removing toxic non-biodegradable organics. Advanced oxidation processes (AOPs) are also energy-intensive. To reduce emissions while maintaining the benefits of AOPs, this project explores catalytic means of organic wastewater treatment. Heterogeneous catalysis, an emerging technology, offers the potential to enhance treatment efficiency, reduce energy consumption, and minimize sludge production. This technology uses solid catalysts such as titanium dioxide, activated carbon, and zeolite-supported materials.
Deadline : 05 May 2025
(14) PhD Degree – Fully Funded
PhD position summary/title: Chemical Engineering: Fully Funded PhD Studentship in the Design, Manufacturing and testing of “living” cellular microfluidic sensors (RS806)
Cells are living systems highly sensible to changes to the local environment, meaning that a change of temperature, pH or other properties can result in the cell changing its morphology and overall behaviour. In this project, the successful candidate will employ such cell behaviour to design, fabricate and test microfluidic fibres containing cells; such structures will act as “living sensor”, providing a physical response to a variety of external stimuli such as drug administration, electric signal, mechanical stimuli, and temperature gradients. The impact of this project stems in anticipated applications in diagnostic healthcare and drug development.
The candidate will design fibres having controlled cells spacing, by using the principle of viscoelasticity-induced ordering in straight microchannels (https://pubs.acs.org/doi/full/10.1021/acsaenm.2c00060). The advantage over traditional methodologies is that cells will be aligned along a single line in the fibre, meaning that the external stimuli will be uniformly felt along the cell population line, resulting in the first-of-its-kind living tuneable sensor with cell-specific response. Unit sensors will be robustly characterised. Data will train a machine learning model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate a versatile tool with great potential across several fields. Experimental activities will mainly be carried out at the Rheological Microfluidic lab led by Dr. Francesco Del Giudice.
Deadline : 05 May 2025
(15) PhD Degree – Fully Funded
PhD position summary/title: Midwifery and Public Health: Fully Funded PhD in Developing digital innovations for autism-informed maternity care (RS808)
Autistic people face challenges in accessing healthcare, especially during pregnancy, due to sensorily aggressive clinical environments, and systemic barriers in healthcare, which can make continuity of care and tailored support difficult to provide. Also, maternity professionals often lack training in neurodiversity-affirming and autism-informed approaches, leading to unmet needs and poorer outcomes for staff and service users.
This project aims to investigate how digital training tools can be used to improve the confidence and competence of maternity health professionals in providing autism-informed maternity care. The focus will be on co-producing the training approach with autistic researchers, service users and maternity staff. This includes creating and evaluating accessible digital resources and exploring the potential of VR scenarios to improve knowledge, confidence, empathy, and skills, with a particular emphasis on fostering inclusive practices. The outcomes will provide critical insights and methodologies for embedding autism-informed practices into maternity services, enhancing care quality and support for staff.
Deadline : 21 April 2025
(16) PhD Degree – Fully Funded
PhD position summary/title: Mechanics / Structural Vibration : Fully Funded PhD Studentship in A Framework for Reduced Order Modelling in Structural Dynamics (RS802)
Identifying and validating models for complex structures featuring nonlinearity remains a problem at the cutting edge of structural dynamics, with applications ranging from civil structures to microelectronics and space hardware. The aim is a machine learning approach that can build a model from experimental and operational data, but with sufficient physical insight to ensure that the model is robust and interpretable. The proposed PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics, addressing the critical challenge of balancing model accuracy with computational efficiency, and the requirements of experimental validation. The aim is to identify the most significant modes that capture the essential dynamic behaviour of complex structures while discarding those that contribute minimally, thus reducing the model’s order without compromising accuracy. The framework will employ advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and optimize the mode selection process. The outcome will be a robust, scalable methodology that enhances the performance of ROMs, making them more applicable to a wide range of engineering problems, including real-time structural health monitoring, vibration analysis, and control design.
Deadline : 21 April 2025
(17) PhD Degree – Fully Funded
PhD position summary/title: Data-Driven Microgrid Control: Fully Funded PhD Studentship in Data-driven Microgrid Control (RS801)
To combat climate change and achieve the UK’s target of Net Zero, it is expected that the integration of renewable energy sources (RESs) at the distribution/consumption level will keep increasing. The volatile and intermittent nature of RESs causes significant difficulties for the network operator to balance generation with demand and maintain power quality, which makes the network prone to instability and blackouts. In addition to their volatile nature, RESs cannot provide the ancillary services (such as voltage and frequency control) that conventional synchronous generators naturally deliver, exacerbating the situation as the penetration of RES increases, especially at the distribution level.
In this context, microgrids (MGs) refer to clusters of consumers, prosumers (consumers + producers), energy storage systems (ESSs), and electric vehicles (EVs) that collectively form a local energy community (EC). ECs are supposed to facilitate direct peer-to-peer (P2P) energy trading mechanisms to optimize objectives such as reduced bills, reduced emissions, or minimization of the exchanged energy with the grid. Such ECs can also potentially provide ancillary services to the grid, such as power balancing, peak shaving/shifting, voltage and frequency support, and virtual inertial response.
Deadline : 21 April 2025
(18) PhD Degree – Fully Funded
PhD position summary/title: Computational Modelling / Materials: Fully Funded PhD Studentship in Physically-based computational multiscale modelling of thermo-mechanical fatigue and fracturing in single crystal alloys (RS800)
With the need for enhanced cooling to improve the robustness of Gas Turbine hot components the complexity of the components increases resulting in higher stresses and corresponding increased risk of fatigue. Rolls-Royce believes that the proposed TMF modelling project offers an opportunity to mitigate this risk through higher fidelity behavioural models and better understanding of the limit of applicability of existing models. Any modelling will have direct applicability to all Rolls-Royce Turbomachinery products.
Deadline : 21 April 2025
(19) PhD Degree – Fully Funded
PhD position summary/title: Computer Science: Fully Funded PhD Studentship in High Performance RISC-V-based Automotive AI Platform (RS812)
System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and AI applications. Part of this research, aspects of cybersecurity for data collection and processing would also be explored. The research methods would range over modelling, design and system-level validation using SOC techniques established by Siemens EDA. Validation criteria would factor in design requirements along with vertical integration features that such platforms would have to interface with in automotive applications.
Deadline : 21 April 2025
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About Swansea University, Wales, United Kingdom –Official Website
Swansea University (Welsh: Prifysgol Abertawe) is a public research university located in Swansea, Wales, United Kingdom. It was chartered as University College of Swansea in 1920, as the fourth college of the University of Wales. In 1996, it changed its name to the University of Wales Swansea following structural changes within the University of Wales. The title of Swansea University was formally adopted on 1 September 2007 when the University of Wales became a non-membership confederal institution and the former members became universities in their own right.
Swansea University has three faculties across its two campuses which are located on the coastline of Swansea Bay. The Singleton Park Campus is set in the grounds of Singleton Park to the west of Swansea city centre. The £450 million Bay Campus, which opened in September 2015, is located next to Jersey Marine Beach to the east of Swansea in the Neath Port Talbot area. The annual income of the institution for 2021–22 was £369.9 million of which £69.2 million was from research grants and contracts, with an expenditure of £446.3 million.
It is the third largest university in Wales in terms of number of students. It offers about 450 undergraduate courses, 280 postgraduate taught and 150 postgraduate research courses to 20,375 undergraduate and postgraduate students.
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