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: LAW: SWANSEA UNIVERSITY RESEARCH EXCELLENCE SCHOLARSHIPS (SURES): FULLY FUNDED PHD SCHOLARSHIP: VULNERABILITY IN INTERNATIONAL CRIMINAL LAW (RS560)
Humanitarian situations can create vulnerable people. Wars and human rights abuses can cause people to suffer from genocide, war crimes and crimes against humanity. These situations are frequently dealt with in international criminal law, either at the International Criminal Court or in a domestic court through the use of universal jurisdiction. However, once a situation has been identified for international criminal justice, there is little discussion about vulnerability and whether and who could be vulnerable within the legal process.
This project aims to determine how vulnerability is understood within international criminal law. Victims are perhaps seen as the most obviously vulnerable, as they have suffered deep deprivations and harms as a result of being victims of the humanitarian situation that is under investigation. However, their vulnerabilities often arise before the start of the international criminal law process, rather than as a result of their involvement in international criminal justice. This project aims to go beyond these types of vulnerabilities and examine whether vulnerability is created by or exists in the international criminal law process itself. Specifically, it will determine whether and to what extent situational and ‘imposed’ vulnerabilities could arise on any number of people within the trial process from legal and practical decisions, structural issues, and approaches taken.
Deadline : 11 March 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: BIOMEDICAL ENGINEERING: FULLY FUNDED EPSRC AND PROCOLL PHD SCHOLARSHIP: ANIMAL FREE COLLAGEN, CHARACTERISATION AND CONTROL – FROM CELLS TO GELS (RS551)
Collagen is the focus of a lot of biomedical engineering research, harnessing the structural properties of collagen in applications such as tissue engineering. A lot of applications of collagen use it in the form of a hydrogel, with and without chemical cross linkers, where it forms a system of fibrils, trapping an aqueous environment for tissue growth. The project partner ProColl in collaboration with Swansea University have developed novel animal free collagens including Type I, II and III collagen, which are found in different tissues of the body. The research community and medicine are keen to use animal free materials, which reduce disease risk, inconsistency and negate ethical issues (aligning with the principles of the 3Rs). The project will answer this challenge and develop novel animal free hydrogels with mechanical characteristics that can be tuned for different applications by changing the type of collagen and chemical crosslinkers. Further novelty and rigour will be achieved by using a multiscale approach combining rheological methods to characterise the gelling of hydrogels alongside bulk scale measurements of the mechanical properties. This characterisation will inform the formulation and thus control of the hydrogel properties and impact on cell growth, which will be studied using the recently established biomedical engineering cell culture facility.
Deadline : 6 March 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: HEALTH SCIENCE: FULLY FUNDED SWANSEA UNIVERSITY PHD: AN INVESTIGATION OF MODERN TECHNOLOGY IN HEARING AIDS: THE BENEFITS OF BINAURAL BEAMFORMING TO SPATIAL HEARING (RS532)
One of the best strategies used for improving the SNR is a directional microphone (DM), which provides reduced sensitivity for sounds from behind and to the side of the listener. Modern developments have resulted in two HAs being able to communicate with each other and improve this directional sensitivity (referred to as binaural beamforming, BB). In laboratory settings BB reveals significant benefit in speech intelligibility in noise, but this is not reflected in the patient reported outcomes. Why is there a discrepancy between these two measures on BB performance and how may this inform device/software design? Through simulation (headphones) and more realistic means (loudspeakers), measures of spatial hearing performance of HA users, using different DM settings, will be investigated. This gives Improved intelligence on barriers to BB benefits and target improved performance of HAs users in complex listening environments.
Informal scholarship enquiries from applicants to prospective supervisors – prior to the application deadline – are warmly encouraged; please direct these to the relevant member/s of faculty staff.
Deadline : 4 March 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: BIOLOGICAL SCIENCES: FULLY FUNDED SWANSEA UNIVERSITY AND MOWI FEED PHD SCHOLARSHIP: FUNCTIONAL MICROBIOMES: UNRAVELLING DIET, ENVIRONMENT AND HOST-PATHOGEN INTERACTIONS (RS531)
Microbiota can positively influence animal physiology and health in many ways, including by enhancing nutrient uptake, immunity and pathogen resistance. At the same time, microbiomes are readily influenced by both various host and environmental factors, including diet and temperature. However, key questions remain regarding the functional nature of host-microbiome relationships and, especially, interactions with pathogens and the environment.
Aquaculture will likely make an important contribution to future global food security, given the depletion of wild fish stocks and increasing demand for high-quality protein. Functional feeds offer great promise for improving fish health and productivity, including by enhancing nutrient uptake and pathogen resilience. This will be crucial for the sustainability of the industry, especially under climate change scenarios predicted to increase pathogen transmission. We expect that the gut microbiome plays an important role in mediating these dietary benefits, we do not yet know how.
Deadline : 4 March 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: SPORT AND EXERCISE SCIENCES: FULLY FUNDED SWANSEA UNIVERSITY AND SWIM WALES PHD SCHOLARSHIP: THE APPLICATION OF ADVANCED DATA ANALYTICS TO MONITOR PHYSICAL PERFORMANCE METRICS (RS493)
This PhD project presents a unique opportunity for an individual to pave the way for next generation analysis and visualisations within an elite sporting environment. The candidate will work closely with performance practitioners at Swim Wales, scientists at Swansea university and elite athletes to optimise the performance of competitors through a 4-year Olympic and commonwealth game cycle.
The aim of this PhD project is to identify opportunities to improve the overall performance of international swimmers through investigating and enhancing the application of advanced data analytics techniques to physical performance data collected by the Swim Wales Sports Science and Sports Medicine Team. Swim performance is comprised of multiple inter-relating factors; such as the athletes physiological output, strength and power, technique and drag coefficient. Developing and analysing these data streams alongside regular training data will form the basis of the project.
Adequate training loads promote favourable physical and physiological adaptations, reduce the likelihood of illness and injury, and, therefore, increase the possibility of success. Collecting internal and external training load information has become a critical issue in elite sport practice and research. In this regard, monitoring athletes’ global training load is essential for understanding whether an athlete is positively adapting to their training programme. Vast volumes of training, testing and competition data are currently routinely gathered using an array of cameras and on-body sensors to give performance staff an insight into the overall performance process. However, these data streams are typically analysed and reported in isolation, limiting the impact and insight that they can yield. This project will therefore review the current data streams and develop specific data analytics processes to better synthesise and enhance the value that they yield. These will be evaluated by retrospectively establishing their efficacy in performance prediction, with a view to then using them to prospectively inform training design.
Deadline : 28 February 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: MECHANICAL ENGINEERING: FULLY FUNDED EPSRC AND SWANSEA PHD: COLLABORATIVE ROBOTICS TECHNOLOGY FOR ASSEMBLY & DISASSEMBLY OF FIDDLY SHAPED OBJECTS IN MANUFACTURING ENVIRONMENT (RS510)
Assembly and disassembly of uncertain shapes, sizes, conditions, and fiddly shaped objects forms a great challenge in manufacturing when considered for automated and robotic processes. This is because it needs a lot of correct identification, dexterity, flexibility, and manoeuvring capabilities of the manipulators. In most cases, it ends-up for manual and tedious processes with limited or no robotics support to human operators. However, this results in increased cost of product repair, end of life decommissioning, and disassembly for replacing parts. This project will focus on understanding the technologies and methods required for flexible and adaptable autonomous assembly and disassembly processes using robotic manipulators associated with humanoid hands and vision system for human-like performance for uncertain shapes, sizes, conditions, and fiddly shaped objects.
Deadline : 28 February 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: MATERIALS ENGINEERING: FULLY FUNDED EPSRC ICASE & TATA STEEL PHD SCHOLARSHIP: NEXT GENERATION INSULATION MATERIALS FOR USE WITHIN THE BUILDING ENVELOPE (RS527)
Building insulation is key to addressing climate change and delivering decarbonisation. The former because, in cold climates, we need to keep heat inside buildings to minimise energy usage and, in warmer climates, we need to keep heat out to minimise air conditioning requirements. At the same time, fire tragedies show the essential need for safe, fire resistant cladding materials.
In collaboration with Tata Steel Building Systems UK, this iCASE PhD seeks to develop new lightweight, highly insulating, limited combustibility materials for use in sandwich panels for building façade systems in the construction sector. The aim is to develop limited combustibility insulating panels that have the potential to drive a market shift away from traditional insulation types. Furthermore, the plan is to use waste industrial by-products as raw materials and to deliver products which are fully recyclable at the end of panel life. As such, the new insulation materials will reduce embedded carbon compared to fossil-fuel based organic insulation materials, enhance steel panel system sustainability and ensure that there is no requirement for panel landfilling following building deconstruction.
Deadline : 28 February 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED EPSRC AND SWANSEA UNIVERSITY PHD SCHOLARSHIP: EXPLORING HIGH-RESOLUTION TEMPORAL CORRESPONDENCE IN VIDEO INSTANCE SEGMENTATION (RS514)
Video instance segmentation aims at simultaneous detection, segmentation and tracking of object instances in videos. Given a test video, the task requires not only the masks of all instances of a predefined category set to be labelled but also the instance identities across frames to be associated. Existing methods follow a detection and association paradigm, which essentially performs spatial priors’ estimation and a temporal stitching afterwards. This may hinder VIS in the occlusion and long-term videos. High-resolution (HR) features appear to be helpful to identify small and or occluded objects in static images. Thus, it is interesting to explore this valuable information that may benefit VIS. At the same time, HR feature fusion at temporal level to facilitate the long-term VIS remains open challenge. This project is motivated to design a latent space where HR features of instances can be properly fused at their temporal evolution. The research results will be also applied to related video-based tasks such as optical flow estimation, 3D reconstruction and 3D object detection.
Deadline : 28 February 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: CIVIL ENGINEERING: FULLY FUNDED LEVERHULME TRUST UK PHD SCHOLARSHIP: ARTIFICIAL INTELLIGENCE-ASSISTED SALTMARSH FLOOD MITIGATION ASSESSMENT (RS542)
The current estimated damage due to coastal flooding in the UK alone is £540 million/year. Coastal flooding will rapidly increase in future, as the UK is expected to face at least 1m of sea level rise by 2100. The UK Committee on Climate Change acknowledges the urgent need for implementing flood mitigation measures, while the UK Government’s Resilient Nation prosperity outcome recognises the need to implement climate-adaptive flood defences. Coastal wetlands have been recognised as potential buffers against storm impacts, serving as a Nature-based Solution (NbS) for flood mitigation, which have become favoured options over building hard defences. Managed realignment of saltmarshes has already been implemented as flood and coastal erosion control measures in the UK. However, recent research suggests that managing saltmarshes as a flood defence is hindered by unresolved context-dependency where the estuarine environment, marsh morphology and flood drivers) define different contexts. The high computational costs of running computational coastal simulators multiple times over with a diverse and distinct set of parameters and highly specialised multiple skill requirements prohibits a thorough exploration of the parameters that control the efficacy of saltmarshes. As a result, beyond a general recognition that NbS for flood mitigation are inherently context-dependent, it has been difficult to advance i) fundamental understanding of the key drivers of nature-based flood mitigation, and ii) derive explicit recommendations on how best to manage and configure saltmarshes to meet policy demands.
Deadline : 28 February 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: CIVIL ENGINEERING: FULLY FUNDED EPSRC ICASE AND UK DSTL PHD SCHOLARSHIP: TIME VARYING CONTROL OF MULTI-MATERIAL ELECTRO-ACTIVE POLYMER SOFT ROBOTS (RS533)
Due to their multifunctional nature, EAPs can act actuators (or artificial muscles) by responding to stimuli faster than natural muscle or conventional motors, and their light weight makes them suitable for space platforms, prostheses, exoskeletons, haptic feedback devices, deformable lenses and other system concepts, such as Stacked EAPs (via a sandwiched composite arrangement of EAPs and electrodes), shown to exhibit output forces capable of locomotion/propulsion to lift/manipulate objects. EAPs can also be exploited as flexible tactile sensors (for machine touch), wearable motion-capture sensors and energy harvesters.
Deadline : 28 February 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: SPORTS SCIENCE: FULLY FUNDED EPSRC AND STENO PHD SCHOLARSHIP: FACTORS INFLUENCING GLYCAEMIA AROUND PHYSICAL EXERCISE IN PEOPLE WITH TYPE 1 DIABETES (RS526)
Though regular exercise is endorsed as a key component in a management plan for people living with diabetes, it continues to represent a major clinical concern due to its ability to disrupt normal blood glucose concentrations. In people without diabetes, blood glucose concentrations are tightly regulated by an array of feedback mechanisms. Unfortunately, such mechanisms are impaired or abolished in people with type 1 diabetes and consequently, rely on medical therapy to manage blood glucose.
A growing number of people with type 1 diabetes uses advanced hybrid closed loop systems or ‘artificial pancreas’ system. These systems consist of an externally worn insulin pump that communicates with an implantable glucose sensor located under skin, and infuses insulin directly into the body. These systems are becoming adopted by NHS and other global healthcare systems and whilst there is strong evidence of improved glucose management in the daily lives of those employing such systems there is limited evidence demonstrating how best to utilise such systems during metabolically challenging situations like physical exercise.
Deadline : 26 February 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PHYSICS: FULLY FUNDED SWANSEA UNIVERSITY AND THE UNIVERSITY OF EDINBURGH PHD SCHOLARSHIP: LATTICE FIELD THEORY GOING BEYOND THE STANDARD MODEL (RS516)
The STFC list of science challenges for the particle physics and astrophysics community highlights the need to find viable extensions of the Standard Model, to explain dark matter, dark energy, matter/antimatter asymmetry, origin of the electroweak scale. Strongly coupled Sp(2N) gauge theories provide a compelling environment to address these challenges.
The Swansea University and The University of The Edinburgh Lattice Field Theory groups are uniquely positioned to perform precision calculations characterising Sp(2N) theories, having led pioneering numerical studies. As part of an established collaboration including researchers in Korea, Taiwan and other partner Institutions, we developed new cutting-edge (open source) software working on GPU- and CPU-based supercomputing architectures, opening unprecedented opportunities for worldwide leadership in this computationally intensive research subfield.
The student will join this world leading research programme, performing numerical studies of new strongly coupled field theories taking advantage of supercomputing resources at facilities based in Swansea, in the United Kingdom, and overseas. The student will perform the first extended, high precision numerical study of such models, computing their spectroscopy and phase structure, and benchmarking phenomenological applications at the crossover between particle physics and astrophysics.
Deadline : 26 February 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: PHYSICS: FULLY FUNDED SWANSEA UNIVERSITY AND THE UNIVERSITY OF EDINBURGH PHD SCHOLARSHIP: LATTICE FIELD THEORY AT THE EXASCALE FRONTIER (RS511)
High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling frontier numerically intensive processes to answer outstanding foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready software. As part of this strategic ambition, we propose to fund a studentship for a joint project between Swansea University and The University of Edinburgh, focused on software development, algorithms, and benchmarking for mathematics and theoretical physics research.
The scientific goals will be the development and application of Exascale Monte Carlo and generative AI methods (such as normalizing flows and the Quantum Field Theoretical Learning machine, pioneered respectively at Edinburgh and Swansea), designed and optimised for next-generation supercomputers, to strongly interacting composite Higgs and dark matter models. This is a cutting- edge field of research led by the groups in Edinburgh and Swansea.
The student will work with scientists and research software engineers, on porting, optimising and benchmarking software that can be migrated to the current most advanced CPU and GPU architectures, preparing for and influencing the development of the UK Exascale Supercomputer.
Deadline : 26 February 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED SWANSEA UNIVERSITY PHD SCHOLARSHIP: ENHANCING CARDIOMYOCYTE DYNAMIC NETWORK ANALYSIS WITH MACHINE LEARNING (ECIDNA-ML) (RS512)
This project represents a new approach to map dynamical interactions in networks of human cardiac cells. Network dyssynchronisation is a fundamental event in the catastrophic breakdown of heart rhythm but we do not know the causative events that lead to the failure of cell-to-cell interactions. Moving beyond vague observational descriptions of network behaviours this project will implement a new system to precisely quantify time-resolved information on cell-to-cell interactions. Our approach involves the development of an innovative methodological framework that employs machine learning (ML) to define the intricate nature of intercellular interactions in such networks. We will utilise large datasets and videos acquired from human cellular networks under a range of experimental conditions designed to stabilise or destabilise functional coupling between cells in the networks. The project will use our expertise in developing tailored algorithms for information extraction, pattern recognition and uncertainty estimation concerning the available clinical data. ML algorithms will enable new predictions and signal extrapolation from image datasets of cellular network behaviour. This new framework will add new knowledge on the spatial and temporal nature of intercellular dyssynchronisation and yield unprecedented insights into cardiomyocyte network dynamics. The outputs of this work will lead to an improved understanding of the early events underpinning the functional decline of heart muscle and will ultimately inform better diagnosis and therapeutic interventions in heart disease.
Deadline : 26 February 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: BIOLOGICAL SCIENCES: FULLY FUNDED SWANSEA UNIVERSITY PHD SCHOLARSHIP: ARTIFICIAL IRRIGATION FRAMEWORK DEVELOPMENT TO ENHANCE CLIMATE CHANGE MITIGATION STRATEGIES (RS525)
The PhD will reconcile conflicting evidence by gaining a comprehensive understanding of cooling mechanisms associated with irrigation. Research will encompass controlled laboratory experiments in the Bioscience Controlled Temperature and Humidity experimental rooms, environmental modelling to predict heat transfer variation with sand permeability, evaporation and transpiration rates, and field studies with partners in Türkiye to test model outputs (Sea Turtle Research, Rescue and Rehabilitation Center (DEKAMER)). Once the mechanisms of cooling are fully understood, a population viability analysis will inform a framework to produce a data-driven, targeted approach to optimize sea turtle reproductive output. The central hypothesis is that, when applied within an appropriate framework, irrigation can serve as a viable conservation strategy to lower nest temperatures and reverse embryonic overheating and feminisation of sea turtle nesting populations.
Deadline : 26 February 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: AEROSPACE ENGINEERING: FULLY FUNDED EMBRAER SA AND SWANSEA UNIVERSITY PHD SCHOLARSHIP: ROTOR-ROTOR INTERACTIONS IN GUST AND TURBULENT FLOW (RS529)
Applications are invited for a PhD studentship in the Department of Aerospace Engineering at Swansea University. The successful candidate will be working towards advancing the aerodynamic performance of novel aircraft designs for advanced air mobility (AAM). This exciting research experience entitles understanding fundamental fluid mechanics and aerodynamics for electric vertical take-off landing vehicles (eVTOLs) in collaboration with Embraer SA, a key player in the civil aviation industry.
The project concerns exploring the aerodynamic performance and the underpinning flow physics of the electrically powered advanced air mobility vehicles, which are expected to shift the paradigm in civil aviation. The knowledge gap in understanding the complex flow interactions of small-scale propellers and rotors due to complex layouts of the challenging designs in AAM vehicles and flow regimes over the small-scale blades under different conditions is yet to be addressed. This challenging project’s main objective is to explore the effect of gust and turbulence on the rotor-rotor interactions to unravel the ultimate impact on aerodynamic performance and to provide design guidelines for optimising the performance of AAM vehicles for real-world applicability.
Deadline : 26 February 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: AEROSPACE ENGINEERING: FULLY FUNDED EMBRAER SA AND SWANSEA UNIVERSITY PHD SCHOLARSHIP: EXPERIMENTAL AERODYNAMIC INVESTIGATIONS FOR WING-ROTOR INTERACTIONS (RS530)
The project concerns exploring the aerodynamic performance and the underpinning flow physics of the electrically powered advanced air mobility vehicles, which are expected to shift the paradigm in civil aviation. The knowledge gap in understanding the complex flow interactions between the fuselage, wings, and rotors due to nonconventional layouts introduces challenges AAM vehicle designs which are yet to be addressed. This challenging project’s main objective is to explore the effect of gust and turbulence on the wing-rotor and fuselage-rotor interactions to unravel the ultimate impact on aerodynamic performance and to provide design guidelines for optimising the performance of AAM vehicles for real-world applicability.
Deadline : 26 February 2024
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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