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: SPORTS SCIENCE: FULLY FUNDED SCOOTFIT AND SWANSEA PHD SCHOLARSHIP: SCOOTING FOR THE STARS: UTILISING SCOOTING AS A NOVEL TOOL FOR BALANCE ENHANCEMENT IN CHILDREN (RS591)
Joint hypermobility effects 34% of youth and presents unique challenges to acquiring fundamental movement skills, a failure master which is associated with poor self-confidence, -esteem and lifelong engagement in physical activity. Currently, scooters are one of the most popular forms of physical activity for children but, for a large proportion of our youth, their hypermobility poses potential issues to engagement but this remains inadequately explored. This project aims to comprehensively assess the influence of hypermobility on balance and performance in children and to co-develop a scooter-based intervention to promote balance and physical activity engagement in youth. Specifically, by collaborating with schools and communities, we’ll develop a multi-component educational, safety and physical activity program specifically tailored to address the needs of children with hypermobility. This research has the potential to significantly improve the health and well-being of children with hypermobility, ensuring they can fully and safely engage in scooting and other physical activities, while simultaneously contributing valuable insights into the use of scooters as a balance-enhancing intervention that could be translated to other movement disorders such as Developmental Coordination Disorder.
Deadline : 26 June 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: ELECTRONIC AND ELECTRICAL ENGINEERING: FULLY FUNDED EPSRC DTP PHD SCHOLARSHIP: DIAMOND NV QUANTUM SENSOR (RS599)
Sensors play a critical role in many electronic systems, providing important data to power our decision-making. Apart from general physical and chemical sensors, quantum sensors reply on quantum particles to conduct measurement and are able to have many orders of magnitude more sensitivity than traditional sensors. Many quantum sensors are based on special materials, such as nitrogen vacancy centres in diamond (Diamond NV), which is a photoluminescent point defect in diamond. The Diamond NV have been extensively utilised to achieve quantum computing and processing in information technology, biosensing, microwave and magnetic field detecting, and various other applications in diverse fields, due to their superior performances in long-lived coherence time, single-photon generation, and many other properties. In this PhD project, built upon research group’s previous research on this topic, the student will be undertaking ground-breaking research in Diamond NV quantum sensors, from fundamental simulations of material properties using density functional theory to characterisation and integration of the material into functional sensing devices.
Deadline : 20 May 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: SPORTS SCIENCE: FULLY FUNDED SWANSEA UNIVERSITY AND SCARLETS RUGBY PHD SCHOLARSHIP: IN-GAME STATISTICS ASSOCIATED WITH MATCH OUTCOME IN PROFESSIONAL RUGBY UNION (RS598)
The aim of this PhD project is to investigate whether match key performance indicators (KPIs) are effective at predicting match outcome at the elite rugby union level in the URC.
The candidate will review current key performance indicators and analyse their influence on match outcome. The candidate will build and refine machine learning techniques to find latent patterns or parameters in the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete, team, strategy, and wellness information from 5 prior seasons. The models will be verified/refined on the legacy data test efficacy and then applied to the current URC season 24-25.
The candidate will be embedded in a professional rugby environment and will be expected to adhere to strict non-interference rules. They will be responsible for collecting multi-channel data from a range of micro-technology devices that assess performance and monitor training load and ultimately will oversee data quality, provenance and curation within a standardised database.
Deadline : 15 May 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: SCIENCE AND ENGINEERING: FULLY FUNDED EPSRC PHD SCHOLARSHIP: ADVANCED SEMICONDUCTORS PHOTODETECTORS (RS604)
Next generation semiconductors such as organics, perovskites and advanced compound are gaining substantial interest as materials for UV, visible and NIR photodetection. They have certain attractive features such as highly tunable bandgaps (which defines the spectral responsivity) and can be processed over large areas, with low embodied energy and in flexible form factors. Potential applications for both narrowband and broadband devices include true colour imaging systems, sensitive NIR cameras, low cost IOT sensors and optically enabled bioelectronics. The aim of this project is to study the fundamental electro-optics of molecular and other advanced semiconductor photodetector materials and devices, and to develop protocols for accurate measurement of key photodetector parameters. Activities will include: electro-optical modelling and simulation of device structures; advanced characterisation of key parameters such as noise, responsivity, specific detectivity, linearity and frequency response; and fabrication of novel device structures including strategies such as the use of narrow gap n-type materials, charge collection narrowing, trap-state manipulation, and cavity enhancement. The project would suit a student from Physics or Electrical Engineering with a strong background and interest in electronic and optoelectronic devices and / or experience in molecular semiconductors. The project will have access to world-class semiconductor device fabrication, characterisation and testing facilities at the new £55M Centre for Integrative Semiconductor Materials at Swansea University, and be hosted within the ground breaking Sêr SAM Group internationally recognized for their pioneering efforts in next generation semiconductors for photodetection and photovoltaics.
Deadline : 15 May 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: MATERIALS ENGINEERING: FULLY FUNDED SWANSEA UNIVERSITY AND THE COATED 3 INDUSTRY FUND PHD SCHOLARSHIP: ZINC COATING INNOVATIONS FOR SUPERIOR CORROSION PERFORMANCE (RS564)
Corrosion costs the UK around 3% of its GDP, this is around half the entire budget of the NHS. This project will design, make and test novel zinc based alloys that can be used in applications such as off shore wind to protect turbines from the harsh marine environment, in coatings for cars and trucks helping to extend life but also reduce weight and in buildings to prevent corrosion the likes of which were seen in schools because of the use of Reinforced Autoclaved Aerated Concrete. Swansea University is well known for coatings and corrosion research and has unique equipment that can directly support this project.
This PhD will use rapid alloy prototyping techniques combined with electrochemical corrosion assessment to design, prototype, screen, upscale, assess and demo the next generation of corrosion resistant zinc-based coatings.
The goal is to produce new alloys and coatings that can be applied at scale and provide enhanced corrosion protection for steel assets in the renewable, construction, marine and automotive sectors. Coatings and alloys could be designed for minimal environmental impact across the life-cycle of the product. This includes choosing low impact elements, screening for resistance to different electrolytes and the use of elements that are not detrimental during recycling.
Deadline : 15 May 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: BIOLOGICAL SCIENCES: FULLY FUNDED SWANSEA UNIVERSITY PHD SCHOLARSHIP: BABOON SOCIALITY & HEALTH (RS562)
Many animals form stable social relationships between specific individuals. These relationships are extremely beneficial but also come with costs. For example, trade-offs exist with respect to stress (social buffering versus social stress) and transmission of health (beneficial gut microbiota) and disease (parasites, viruses) but are little understood because of the challenges of collecting appropriate data in the wild. To understand these trade-offs, this interdisciplinary PhD will use and extend a worldwide unique data set on wild baboon social behaviour and health. Sociality is studied in unprecedented detail, with simultaneous data for 16 individuals. GPS and acceleration data from bespoke tracking collars provide information on behaviour and social interactions/proximity every second over several months. Health information comes from >350 urine and >600 faecal samples collected in the field. These samples are matched to individuals and time periods, affording non-invasive investigation of reproductive state, stress physiology, immune function, energy and metabolic status, parasite load, and microbiome composition. Combining these data on baboon sociality and health therefore provides rare opportunity to investigate how and why social relationships evolve, and their consequences for individuals’ health.
Deadline : 15 May 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: HISTORY: FULLY FUNDED AHRC COLLABORATIVE DOCTORAL PARTNERSHIP PHD SCHOLARSHIP: FROM WALES TO THE WORLD: A HISTORY OF THE CHILDREN’S PEACE AND GOODWILL MESSAGE (RS596)
Swansea University, and the National Library of Wales are pleased to announce the availability of a fully funded Collaborative doctoral studentship from October 2024 under the AHRC’s Collaborative Doctoral Partnership Scheme.
Every year without fail since 1922, a message of Peace and Goodwill has been broadcast to the world in the name of the children of Wales. Emerging in response to the violence of the First World War and in support of international peace, the message elicited responses from young people around the globe. The Goodwill Message linked Wales and the world and was a key means through which peace activists sought to mobilize children in the cause of peace against the backdrop of international upheaval. Despite having no parallel in modern history, little has been written of the history of the Goodwill Message or the international responses to it.
This innovative project stands at the intersection of Welsh and international history. Based at Swansea University and the National Library of Wales and working in conjunction with the Welsh Centre for International Affairs, it will utilise the NLW’s rich collections to research the history of the first fifty years of the Goodwill Message, analysing how visions of peace were articulated in the face of international turmoil and questioning how young people appear in the historical record. There will be opportunities to take part in the programme of CDP Cohort Development events and other activities organized for CDP students by the AHRC, as well as training and development provided by Swansea University and the CDP Welsh Culture and Heritage Consortium.
Deadline : 13 May 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: HISTORY: FULLY FUNDED AHRC COLLABORATIVE DOCTORAL PARTNERSHIP PHD SCHOLARSHIP: ARTS, ACTIVISM, AND ACCESSIBILITY: DISABILITY ARTS IN WALES, 1980-PRESENT (RS595)
Since the 1980s, arts and culture have played a significant role in expressing deaf and disabled people’s identities in Britain and have sustained disability activism. Yet histories of disability arts are lacking, particularly for Wales. This PhD topic explores how the cultural lives of deaf and disabled people in Wales have changed over the past forty years. It will analyse the changing role of disability arts (including visual arts, theatre, dance, and film) in contributing to the social organisation of deaf and disabled people in this period and ask what the creative works of deaf and disabled people tell us about what it means to be disabled in Wales. Arts for Disabled People in Wales (now Disability Arts Cymru) was founded in 1982, and as one of the longest running multiform disability arts organisations in the UK its history is integral to our wider understanding of the evolution of disability arts and activism. The PhD offers a unique opportunity to work with the National Library of Wales to assist Disability Arts Cymru to conserve and widen access to its archive, and to collaborate with artists and activists to bring the story of disability arts in Wales to life for new audiences.
Deadline : 13 May 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: POPULATION AND HEALTH DATA SCIENCE: FULLY FUNDED HEALTH DATA RESEARCH UK PHD SCHOLARSHIP: USE OF REAL-WORLD EVIDENCE IN HEALTH TECHNOLOGY ASSESSMENT FOR MULTIPLE LONG-TERM CONDITIONS (RS600)
Healthcare decision-making has previously focussed on developing recommendations for single conditions. However, standardised care for each chronic condition in isolation can be inappropriate for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a modelling framework to estimate the natural history of disease in individuals living with multiple long-term conditions using population-scale, linked, electronic health records from the Secure Anonymised Information Linkage (SAIL) Databank Wales Multimorbidity e-Cohort (Lyons et al, 2021). This approach will allow estimation of the potential adverse effects (such as hospitalisations) of drug-on-drug interactions for the treatment of multiple conditions and associated genetic, environmental, or demographic risk factors. Further this PhD project will compare the efficacy of different combinations of treatments used in people with multiple long-term conditions, and assess potential health inequalities.
Deadline : 12 May 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: ELECTRONIC AND ELECTRICAL ENGINEERING: FULLY FUNDED SWANSEA UNIVERSITY PHD SCHOLARSHIP: GATE-OXIDE RELIABILITY OF WIDE BANDGAP POWER MOSFETS (RS563)
The wide bandgap (WBG) power MOSFET is more prone to early failure than its Si counterparts despite its recent success. One of the most significant contributing factors to the overall reliability of these devices is degradation or even complete failure of the gate oxide. Specifically, gate threshold voltages shift from their original value with prolonged application, mainly due to gate oxide thickness reduction and high electric fields.
Reliability refers to a product’s performance remaining within specifications for a specific period of time. According to the semiconductor industry, after 10 years of operation under nominal conditions, at most 100 devices per million can fail from oxide breakdown.
The goal of this project is to a) study and examine the failure mechanisms of WBG (particularly gallium nitride) devices, b) compare different methodologies for predicting or modelling the gate-oxide reliability of WBG power MOSFETs and identify the gap for both offline reliability and lifetime estimation and possible online condition monitoring from transistor signals, c) design, simulate and practically implement the required circuit configuration and the final multi-channel test rig for concurrent reliability testing and examining the failure mechanisms, d) develop conventional statistical approaches and artificial intelligence (AI) models from data provided by testing a large number of samples under controlled conditions to validate and generalise the research findings and e) recommend future work to implement the realised improvements.
This PhD project aims to create a meaningful impact through the collaboration between EPRG (Engineering and Power Research Group) at Swansea University and Vishay Intertechnology.
Deadline : 1 May 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED SWANSEA UNIVERSITY AND QINETIQ PHD: EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR AUTOMATED KNOWLEDGE DISCOVERY AND SCIENTIFIC TREND PREDICTION (RS565)
The number of scientific papers published is increasing rapidly every year. The overwhelming volume of the literature makes it challenging to keep up with the latest research and developments. Working closely with the project partner QinetiQ, this project will combine state-of-the-art machine learning methods, natural language models and image recognition to develop a human-in-the-loop system for systematic reviews and predictive analytics. We envisage that the system will be able to collate and analyse a significant amount of research publications. Furthermore, we expect the system to quantify and extrapolate research trends that may have significant impacts on technology development. Our key objectives are:
- Optimise an automated systematic review system that integrates texts, figures and tables from scientific publications and other credible sources;
- Develop and validate deep neural network models that predict scientific trends and their impacts;
- Deliver an integrated interface that renders model outputs with explainability, transparency and efficiency.
The project partner, QinetiQ, is a multinational FTSE 250 company with a global workforce exceeding 6000 employees. It offers world-class expertise in advice, services, and innovative technology-based products in the manufacturing, security, defence, finance, energy, and telecom sectors. This collaborative research initiative signifies QinetiQ’s commitment to informed investment in AI and advanced computing. The overarching goal is to pioneer leading-edge solutions, particularly in the domains of application-specific analytics and data science. Through this joint effort, QinetiQ aims to push the boundaries of innovation, ensuring they remain at the forefront of technological advancements in these emerging and critical areas.
Deadline : 1 May 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED PHD SCHOLARSHIP: ELEVATING COMPARATIVE JUDGEMENT USING A LARGE-SCALE HUMAN-IN-THE-LOOP BAYESIAN ACTIVE LEARNING APPROACH (ECSTATIC) (RS590)
The Comparative Judgment (CJ) method, which has gained traction in UK schools over the past decade, involves assessors choosing the superior submission from a pair, rather than assigning a score to each one. This approach is less taxing for assessors and maintains accuracy for a small number of submissions. Recently, we developed a Bayesian active learning approach for CJ (BCJ; https://arxiv.org/abs/2308.13292), to solve a crucial problem of interaction-efficient pair selection while producing reliable estimations of ranks and predictive uncertainty.
In this related project, for the first time, we will aim to scale BCJ to handle thousands of items (as opposed to tens of them), enabling ranking and scoring across schools and assignments. We will propose new methods to dynamically incorporate new items for ranking in BCJ in an interaction-efficient manner, and devise avenues for providing individual learners insight into their progress over time compared to their peers. We will evaluate these methods to establish their efficacy in helping assessors make informed decisions under uncertainty arising from the practical paucity of data and interactions, as well as better informing learners. These methods will be designed in collaboration with assessors and learners to ensure that they remain relevant and useful beyond the project completion.
Deadline : 1 May 2024
(13) 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) (RS585)
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 : 1 May 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: AEROSPACE ENGINEERING: FULLY FUNDED EPSRC AND SWANSEA UNIVERSITY PHD SCHOLARSHIP: EXPERIMENTAL AND NUMERICAL ANALYSIS OF NONLINEAR THERMAL MECHANICAL JOINTS (RS603)
One of the major knowledge gaps in the study of complex aerospace systems is the frictional interface of jointed components. In the current state-of-the-art, only the nonlinear friction is considered. For the underlying physics, frictional energy dissipates energy via deformations (using current methods), heat (not considered and is the focus of this project), and sound (considered ignorable for most sliding situations). This project will focus on the understanding of the heat-based energy dissipation and the environmental effects on these frictional joints.
Swansea University is a member of the International Committee on Joint Mechanics. This is a multi-disciplinary committee focused on understanding and predicting jointed interfaces in assembled structures. The ICJM is a collection of academics, industrial researchers, and governmental bodies from across the world. This allows for knowledge transfer between industrial needs, current state-of-the-art, and relevant regulations. The successful applicant will have the opportunity to attend joint community meetings, where they can discuss and present their work, as well as attending and presenting at international conferences.
This project will investigate the recently identified need (discovered by the ICJM) for multi-physics understanding and modelling. Specifically, this project will investigate the thermal-mechanical relationship in assembled structures. The student will utilise a newly acquired environmental chamber to understand these previously not investigated aspects of these nonlinear joints. In addition to the testing, the student will also work towards developing a novel temperature-dependent nonlinear joint model.
Deadline : 1 May 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: MECHANICAL ENGINEERING: FULLY FUNDED EPSRC AND SCHMIDT-CLEMENS SPAIN PHD SCHOLARSHIP: MODELLING OF COMPLEX LOAD CYCLES AT ELEVATED TEMPERATURE (RS589)
Engineering components such as those found in high temperature plant applications are often subjected to cycles during which both stress and temperature change. These cycles can occur during normal service or during start-up/shut-down cycles and can significantly limit service lives of the components. Due to thermal gradients associated with heating and cooling, these load/thermal cycles are complex in nature and the cycle frequency is typically lower than that of a normal thermo-mechanical fatigue (TMF) cycle resulting in deformation dominated by creep mechanisms. The aim of this project is to develop a model for the deformation and damage that occurs during these complex cycles. A constitutive model which accounts for the effects of stress and temperature changes on material hardening and damage will be implemented within finite element (FE) software allowing predictions of component behaviour to be made.
Deadline : 29 April 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED EPSRC AND RCNDE PHD SCHOLARSHIP: REAL TIME TRACKING OF COGNITIVE LOAD TO ASSESS HUMAN FACTORS DURING INSPECTIONS (RS584)
Many industries are relocating workers from hazardous environments to supervisory rooms, where they need to engage with automated systems to perform their work. A critical challenge in human-automated systems interaction lies in effectively managing human factors such as cognitive load (CL) and emotions such as stress to ensure optimal task execution. However, currently, measuring CL involves bulky, expensive techniques such as functional magnetic resonance imaging and magnetoencephalography, limiting their practicality. Recent progress in wearable design helps non-invasively measure CL and stress by synchronously analysing physiological indicators such as Pupillometry, heart-rate variability, and skin conductivity. Regardless, previous work involved wearing eye trackers and heart monitors, which may not be suitable for real-time inspection setups. Besides, the tasks utilised to collect data for estimating CL were superficial and consequently, CL measures were task dependent.
Thus, there is a clear need to develop less invasive and robust task-independent measures for CL. This need is particularly relevant in non-destructive evaluation (NDE), where automation is increasing, and human factors significantly contribute to uncertainties in inspection results. This project will explore corrective methods to enhance inspection reliability by developing robust measure of CL and correlating it with operator performance. With automated systems generating vast volumes of inspection data and data analysis tasks becoming more complex, addressing human factors becomes increasingly vital for ensuring the overall dependability of inspections.
Deadline : 29 April 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED EPSRC DTP PHD SCHOLARSHIP: VERTICAL MULTI-PURPOSE FARMING ROBOTIC SYSTEM (RS582)
Swansea University, an internationally recognised academic institution with strong commitments to research and technological innovation, seeks applications for a PhD scholarship funded position to join our rapidly developing Intelligent Robotics Group at the Computer Science Department, Faculty of Science and Engineering. The development of Intelligent Robotics for real-world applications, cutting across the domains of assisted living and modern agriculture, is one of our research group’s goals. An exciting opportunity awaits in our ambitious project “HARVEST”, where we seek to transform global food production systems in the face of impending challenges. At its heart, the project is about developing Vertical Multi-Purpose Farming Systems. From providing cost-effective, year-round agriculture to creating disease-resistant crops and yield prediction using computer vision, the technologies you develop have the potential to shape the future of farming. It becomes the path to devising new vertical agricultural techniques, paving the way for sustainable methodologies in the agriculture sector. Join us and participate in this exciting project. At Swansea University you will do more than just research; at Swansea University you will be positively impacting people’s lives and the environment.
Deadline : 29 April 2024
(18) PhD Degree – Fully Funded
PhD position summary/title: CHEMISTRY: FULLY FUNDED EPSRC AND SWANSEA PHD SCHOLARSHIP: PATCHY SWEET BULLETS AGAINST BACTERIA (RS586)
A significant phenotypic heterogeneity exists within the clonal bacterial population for adhesion to different surfaces. Bacteria even lacking adhesive lectins can bind to cells and cause infections. The objective of this studentship is focused on engineering heterogeneous glycosystems with patchy attributes to simultaneously target varied bacterial populations with high selectivity index.
The candidate will employ an exciting interdisciplinary approach, commencing with polymer and glycochemistry to engineer patchy glycosystems. These systems will be thoroughly characterized in our modern University laboratory using SEM, AFM, and TEM. The efficacy of these materials will be assessed against different bacterial strains in the Institute of Life Sciences at Swansea University. A comprehensive training programme will be provided by an interdisciplinary supervisory team’s expertise in chemistry (Dr Bhatia), natural products (Dr Loveridge), and microbiology (Professor Wilkinson).
Deadline : 29 April 2024
(19) PhD Degree – Fully Funded
PhD position summary/title: BIOMEDICAL ENGINEERING: FULLY FUNDED SWANSEA AND BOSTON SCIENTIFIC LTD PHD SCHOLARSHIP: BIOPROSTHETIC DESIGN EVALUATION THROUGH EXPERIMENTAL-COMPUTATIONAL TECHNIQUES (RS592)
Heart valve (HV) disease is a major cause of cardiac malfunction with high mortality if left untreated. Over 200,000 patients/year receive bioprosthetic HV replacements, which exhibit superior haemodynamic behaviour and enable transcatheter replacements. However, the material and geometric design of these highly flexible structures is extremely challenging. A detailed understanding of HV loading and the corresponding mechanical strains and stresses is essential to ensure device longevity (37million cardiac cycles per year!), whilst ensuring optimal cardiovascular function for the patient. This project proposes to integrate state-of-the-art image-based measurement techniques with computational models for a holistic characterisation of HV fluid-structure interaction behaviour. The HVs will be tested in a pulsatile flow mock loop that simulates cardiovascular flow and pressure waveforms. The PhD student will exploit a combination of digital image correlation (DIC) and particle image velocimetry (PIV) methods to robustly characterise the biomechanical behaviour of the HVs. DIC is a non-contact optical measurement technique that can capture full-field displacement and strain on HVs. DIC is highly adaptable and is widely applied in mechanical testing when complex, non-uniform strain fields are expected and where point-based measurements or hard-wired gauges are impractical and insufficient. A multi-camera setup will be used to accurately capture detailed strain fields where the HV rotates and deforms from closed to open state and back. The 4D PIV system will also allow dynamic coherent flow structures to be captured, enabling a more complete view on valve performance. A computational workflow may be integrated alongside these experiments to create a powerful framework to aid future design development.
Deadline : 29 April 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: NANOTECHNOLOGY: FULLY FUNDED EPSRC AND GROVE MATERIALS LTD PHD SCHOLARSHIP: DESIGNER NANOPARTICLES FOR BIOMEDICINE AND ENERGY: PHYSICS MEETS BIOLOGY AND CHEMISTRY (RS583)
Nanostructured materials already play a vital role in society. For example, the red lines on a Covid test are nanoscale gold particles. The conventional approach to their production employs solvents and chemicals which present health hazards and environmental challenges. In this project we will exploit breakthroughs in one of two connected areas, according to the expertise of the student:
- Development of nanoscale physics-based experimental methods, where Swansea is world leader, to achieve solvent-free synthesis and scale-up of soluble, ligand-capped metal nanoparticles of size 1-100 nm.
- Conjugation of the nanoparticles at source with detector molecules chosen to recognise an infectious agent or a biomarker. This will be a completely new method to tether proteins to metal clusters for diagnostics.
Examples of the metal nanoparticles are gold for medical diagnostics and cancer treatment; iridium and platinum for clean energy (hydrogen); and silicon for photonics and solar. They will be characterised by state of the art methods including XPS, SEM, TEM, dynamic light scattering, optical methods and mass spec. The production methods will combine atomistic and molecular (including protein molecule) deposition in vacuum with wafer and roll-to-roll technology and post-processing to harvest nanoparticles on a scale beginning with grams, heading for kilograms and with the potential for tonnes – representing a revolutionary paradigm-shift in (bio) materials manufacturing at the interface between science frontiers and technological and medical applications.
Deadline : 24 April 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: MATHEMATICS: FULLY FUNDED UKRI AND SWANSEA PHD SCHOLARSHIP: OPTIMAL PROBLEMS UNDER CONTAGIOUS MARKETS WITH REGIME SWITCHING AND RISK UNCERTAINTY (RS588)
In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty.
In the first chapter, an optimal portfolio choice and life consumption problem will be studied under a fragile financial market with regime switching and risk uncertainty, where the transition matrix is no longer constant but depends on historical paths of financial assets in that market.
In the second chapter, an optimal reinsurance problem will be investigated under a contagious insurance market with regime switching. A stochastic differential game will be constructed to find the optimal reinsurance policy by considering the interaction between the insurer and the reinsurer.
Deadline : 24 April 2024
(22) PhD Degree – Fully Funded
PhD position summary/title: ELECTRONIC AND ELECTRICAL ENGINEERING: FULLY FUNDED EPSRC AND SWANSEA UNIVERSITY PHD SCHOLARSHIP: WIRELESS POWER TRANSFER SYSTEM FOR MEDICAL IMPLANT DEVICES (RS581)
Implantable medical devices (IMDs) are gaining popularity in the health and medical sectors because of their vast applications, such as cardiac pacemakers, artificial hearts, defibrillators, coronary stents, intraocular lenses, hip implants, orthopaedic implants, and implantable glucose sensors. Traditionally, these IMDs are battery-dependent with limited life span hence surgery is required to replace the battery, which is the biggest source of distress in patients. A wireless power transfer (WPT) system can prove to be an excellent alternative that acts as a wireless charger to the medical implants.
However, there are many considerations when designing a WPT system. For example, the distance between power transmitter and position of the IMD inside the human body, the operating frequency and its effect on the body’s tissue, and size of the WPT system are some of the major considerations. Therefore, the research into WPT system consists of optimizing the size and geometry of the coils of transmitter and receiver, appropriate material selection for the coil, finding the optimal operating frequency, improving the quality factor of the inductors and selection of best performing compensation capacitor to enhance the efficiency of the system.
Deadline : 24 April 2024
(23) PhD Degree – Fully Funded
PhD position summary/title: COMPUTER SCIENCE: FULLY FUNDED EPSRC DTP PHD SCHOLARSHIP: ROBOTIC THIRD ARM FOR HARVESTING ASSISTANCE (RS580)
Swansea University, an internationally recognised academic institution with strong commitments to research and technological innovation, seeks applications for a PhD scholarship funded position to join our rapidly developing Intelligent Robotics Group at the Computer Science Department, Faculty of Science and Engineering. The development of Intelligent Robotics for real-world applications, cutting across the domains of assisted living and modern agriculture, is one of our research group’s goals. Tentacle project is a fascinating initiative that aims to develop a sophisticated robotic arm capable of assisting harvesting tasks. Through computer vision, the Tentacle arm will be able to recognize if a product (such as a fruit or a vegetable) is ready for picking and assist the picking task. The Tentacle arm and the human-picker are supposed to cooperate, with the arm assisting the picking process while the human-picker carries the arm throughout the plantation. By leveraging the unique capabilities of both robots and humans, this collaborative approach aims to optimize the harvesting process, minimize losses resulting from premature harvesting, and expedite the overall picking process. Join us and participate in this exciting project. At Swansea University you will do more than just research; at Swansea University you will positively be impacting people’s lives and the environment.
Deadline : 24 April 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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