Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Computer Science

Summary of PhD Program:

The project aims to study the feasibility of developing an AI model-based digital twin model, trained by the simulated data from physics-based model for predictive NDE. This will be achieved by systematically integrating modelling, data and AI into digital twin practices, and be delivered through the following inter-linked and measurable objectives:

• Develop appropriate AI model and digital twin framework to work with data acquired for different NDT disciplines (e.g. acoustic emission, ultrasound and computed tomography).
  
• Study, develop and validate AI models as model-based digital twin for the test specimen to predict the health conditions, which can be calibrated and improved using online test data
  
• Develop novel methods to enhance current NDT capability by exploiting AI as predictive model (using data acquired over time).

Application Deadline: 23 August 2023

Apply now

2. Fully Funded PhD Position in Data Science

Summary of PhD Program:

The aim of this PhD project is to investigate the application of advanced data analytics to training load data to help improve the overall performance in international swimmers. 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 loads has become a critical issue in elite sport practice and research. In this regard, monitoring athletes global training load is essential for undertaking whether athlete is positively adaptation to their training program.

Application Deadline: 23 August 2023

Apply now

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3. Fully Funded PhD Position in Functional Coatings

Summary of PhD Program:

This programme would look at optimising the powder production route for a range of hard surface coating and HIP powders by investigating manufacturing parameters and subsequently optimizing the manufacturing process to improve performance. This approach would require evaluation of extensive process data and iterative plant trials to provide improve product yields and powder performance. As a result of improvements, collaboration with in-house R&D technicians and downstream access to international customers would then assess the performance of coating and HIP powders during application, initially on lab-scale components before up-scaling to full-size components using customer facilities. Detailed examination of the results of these full scale commercial trials would then provide feedback data to stimulate further powder improvement.

Application Deadline: 7 August 2023

Apply now

4. Fully Funded PhD Position in Molecular biology, aquaculture, parasitology

Summary of PhD Program:

The proposed doctoral project will investigate the transmission of parasites and other pathogens between the lump fish (Cyclopterus lumpus,), a cleaner fish used by the salmon aquaculture industry as an alternative to chemicals to treat sea-lice, and the salmon (Salmo salar). Parasites thrive under aquaculture high-density conditions, causing high mortality and economic losses. Using fish (e.g. lumpfish and wrasse) to remove parasites from salmon in aquaculture settings is considered a sustainable alternative to using chemicals. However, there is virtually no research into the effects of forced coexistence of non-coexisting species together, especially at high densities.

Application Deadline: 28 August 2023

Apply now

5. Fully Funded PhD Position in Particle Physics

Summary of PhD Program:

The Particle Physics and Cosmology Theory group in Swansea offers a fully funded PhD position open to all its research areas: Quantum Field Theory, Lattice Field Theory, String/M theory, Particle Physics Phenomenology, Scattering Amplitudes, Cosmology, Machine Learning in Fundamental Physics. Applicants are advised to contact a potential supervisor to discuss possible projects. The candidate will join a diverse, International, and interdisciplinary, world-leading research environment, benefiting from daily interaction within a group of staff and students counting approximately forty researchers, and from the extensive programme of research seminars, journal clubs and training opportunities of the Particle Physics and Cosmology Theory group at Swansea.

Application Deadline: 7 August 2023

Apply now

6. Fully Funded PhD Position in Physics (applied and theoretical) 

Summary of PhD Program:

Swansea Physics Department is inviting applications for doctoral studentship from UK candidates from under-represented groups, funded jointly by Swansea University and the “Bell Burnell Graduate Studentship”. Applicants (e.g. women, BAME, disabled) will be awarded the studentship on the basis of excellence. The research topic must be within the following core research areas and remits of the Swansea Physics Department:

• Applied physics and materials
  
• Atomic, Molecular and Quantum physics
  
• Particle physics and Cosmology 

Application Deadline: 18 September 2023

Apply now

7. Fully Funded PhD Position in Engineering

Summary of PhD Program:

Swansea University and the UKAEA are collaboratively developing ‘virtual engineering’ capabilities for digital twinning of fusion reactor components. This is in view of enabling better understanding and prediction of fusion reactor systems. For the creation of reliable digital twins, which are typically represented as parameterised mathematical models, three key problems are important:

• data integration, i.e., how can measured data be efficiently and reliably integrated into a physics-based model,
  the problem of optimal design, i.e., determination of the necessary minimum number of measurements along
• with their spatial/temporal distributions such that the model reliable,
  the problem of data-assimilation, i.e., as more measurements are longitudinally acquired, how can system
• parameters be dynamically and continuously updated so that the discrepancy between the model output and measurements remains low. 

Application Deadline: 28 August 2023

Apply now

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8. Fully Funded PhD Position in Computer Science

Summary of PhD Program:

The automotive sector is driving uptake of semiconductor devices – the rapidly expanding automotive semiconductor market (worth $35 billion in 2020) is powered by growth of Electric, Hybrid and Autonomous Vehicles sectors. Defect-free semiconductor device product yields of >90% will be required to enable this revolution. 98% of semiconductor manufacturing firms expect to increase efficacy with digital technologies, with AI (Machine Learning) set to transform the global semiconductor industry over the next decade, through automated inspection, defect recognition and step changes in quality control and yield. Semiconductor device manufacturing comprises processes including wafer production, photolithography, insulator growth, deposition, etching and metal deposition). Each process step has variables, which can lead to defects.

Application Deadline: 28 August 2023

Apply now

9. Fully Funded PhD Position in Materials Science

Summary of PhD Program:

A Wave Energy Converter (WEC) harvests clean and green energy from ocean waves. Traditionally, they use multiple rigid bodies, but there is significant cost potential from use of flexible membranes (mWEC) as the main interaction with the waves. Survivability and reliability of these highly deformable membrane structures is a key concern. An mWEC operating underwater experiences multiple modes of deformations (tension, compression, bending/twisting; in- and out-of-plane deformations) during its service life. Hence, ensuring reliability of membrane structures through constant health monitoring in damage-prone areas using stretchable sensors is an ideal choice.

Application Deadline: 16 August 2023

Apply now

10. Fully Funded PhD Position in Engineering

Summary of PhD Program:

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.

Application Deadline: 14 August 2023

Apply now

11. Fully Funded PhD Position in 

Summary of PhD Program:

Swansea University and the UKAEA are collaboratively developing ‘virtual engineering’ capabilities for digital twinning of fusion reactor components. This is in view of enabling better understanding and prediction of fusion reactor systems. For the creation of reliable digital twins, which are typically represented as parameterised mathematical models, three key problems are important:

• data integration, i.e., how can measured data be efficiently and reliably integrated into a physics-based model,
  the problem of optimal design, i.e., determination of the necessary minimum number of measurements along
• with their spatial/temporal distributions such that the model reliable,
  the problem of data-assimilation, i.e., as more measurements are longitudinally acquired, how can system
• parameters be dynamically and continuously updated so that the discrepancy between the model output and measurements remains low.

Application Deadline: 28 August 2023

Apply now

12. Fully Funded PhD Position in Computer Science 

Summary of PhD Program:

This project will combine expertise in human-centred AI to develop and deploy state-of-the-art machine learning models that can be applied to the next generation of semiconductor material and devices. This multidisciplinary project will span lab-based inspection of defects in new semiconductor wafer materials and creating data-driven machine learning models to predict defects and their impact on utility and reliability of the semiconductor devices.

Application Deadline: 28 August 2023

Apply now

13. Fully Funded PhD Position in Robotics

Summary of PhD Program:

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.

Application Deadline: 14 August 2023

Apply now

The post 13 Fully Funded PhD Programs at Swansea University, Wales, United Kingdom appeared first on FellowshipBard.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Computer science, material engineering, aerospace engineering, civil engineering 

Summary of PhD Program:

The project aims to study the feasibility of developing an AI model-based digital twin model, trained by the simulated data from physics-based model for predictive NDE. This will be achieved by systematically integrating modelling, data and AI into digital twin practices, and be delivered through the following inter-linked and measurable objectives:

• Develop appropriate AI model and digital twin framework to work with data acquired for different NDT disciplines (e.g. acoustic emission, ultrasound and computed tomography).
  
• Study, develop and validate AI models as model-based digital twin for the test specimen to predict the health conditions, which can be calibrated and improved using online test data
  
• Develop novel methods to enhance current NDT capability by exploiting AI as predictive model (using data acquired over time).

Application Deadline: 23 August 2023

Apply now

2. Fully Funded PhD Position in Engineering 

Summary of PhD Program:

For High-speed railway, one of the most widely used track forms is the ballastless railway tracks, where the concrete slabs are normally serving as the supports under the rails. During the regular service life of ballastless railway, there may exist severe distresses, like cracks, in the concrete slab due to the train loading and severe environmental conditions, which may further affect the public safety of rail passengers. Recently, the deep learning-based methods have emerged as a powerful tool to detect the cracks in the concrete slabs of the railway automatically and intelligently. However, it may face problems like low computation accuracy and high cost. To solve this problem, this project aims to propose a novel deep learning model for automatic crack identification in concrete slab of ballastless railway with high computation efficiency and low computation cost.

Application Deadline: 2 August 2023

Apply now

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3. Fully Funded PhD Position in Animal Welfare

Summary of PhD Program:

In this collaborative PhD project the student will develop and test behaviour-based operational welfare indicators (OWIs) that can improve the welfare of selected farmed species. Using state-of-the art facilitires at the Centre for Sustainable Aquatic Research (CSAR) we will assess the behavioural changes that occurr under artificial rearing in order to improve welfare and inform artificial selection progammes. A combination of behavioural assays, machine vision and deep-learning will be used.

Application Deadline: 31 July 2023

Apply now

4. Fully Funded PhD Position in Law

Summary of PhD Program:

The overriding aim of this project is to provide a better understanding of the nature and relative significance of the roles of different stakeholders in the governance of water. This includes Dŵr Cymru (the water authority responsible for water supply and sewerage), Natural Resources Wales (the regulator for water pollution and also responsible for drainage and flood prevention) and the many different environmental NGOs and other community groups that seek to protect water to their own ends. With a better understanding of the way conflicts between these stakeholders are played out in practice it will be possible to provide recommendations for changes to law, policy and governance structures to help reconcile these differences and assist these organisations work together to achieve better water quality.

Application Deadline: 14 July 2023

Apply now

5. Fully Funded PhD Position in Materials Science

Summary of PhD Program:

Dielectrics are important elements of all electronic and optoelectronic components irrespective of the constituent semiconductor platform be it silicon, compound, oxide or solution processable. In this exciting project, we will investigate the use of a novel new deposition technique called Molecular Vapour Deposition (MVD) to create advanced, high performance dielectric and other functional coatings for challenging applications such as vertical transistors, wide gap electronics and large area organic and perovskite optoelectronics. MVD is capable of producing very high quality, highly conformal and dense layers with a range of dielectric constants – and crucially does so at low temperature < 200C.

Application Deadline: 12 July 2023

Apply now

6. Fully Funded PhD Position in Psychology

Summary of PhD Program:

The aim of this PhD is to use mixed methods (qualitative and quantitative) to understand consumer perceptions of plant-based ultra-processed foods (UPF) and to assess predictors of eating behaviour. This PhD will include lab-based studies including the use of physiological measures such as galvanic skin response. 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.

Application Deadline: 5 July 2023

Apply now

7. Fully Funded PhD Position in Population Data Science

Summary of PhD Program:

This PhD is funded by HDR UK’s Inflammation and Immunity Driver Programme, aiming to advance the UK’s understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. This Driver Programme will explore inflammation and immunity as general underpinning mechanisms, starting with highly prevalent respiratory and allergic diseases, which can be exacerbated by acute inflammatory episodes due to infections, pollution, tobacco, pollen, weather, drugs, foods and stinging insects. The Driver Programme’s long-term plan is to extend the data science capabilities and capacity created, to other inflammatory-mediated diseases.

Application Deadline: 28 June 2023

Apply now

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8. Fully Funded PhD Position in Cancer

Summary of PhD Program:

Our research group has a long standing interest and an international reputation in the study of DNA mutation. We have developed a novel blood-based biomarker whereby we detect DNA mutations induced by the developing tumour in normal circulating blood cells. Using this unique approach, we have shown that cancer patient’s blood cells carry more mutations than age matched controls or healthy volunteers. We urgently need to identify the mechanism involved leading to these mutations. We propose in this studentship to carry out mechanistic studies to help us explain what is causing the mutations in these blood cells.

Application Deadline: 28 June 2023

Apply now

9. Fully Funded PhD Position in Computer vision, artificial intelligence

Summary of PhD Program:

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.

Application Deadline: 28 June 2023

Apply now

10. Fully Funded PhD Position in Data Science

Summary of PhD Program:

The aim of this PhD project is to investigate the application of advanced data analytics to training load data to help improve the overall performance in international swimmers. 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 loads has become a critical issue in elite sport practice and research. In this regard, monitoring athletes global training load is essential for undertaking whether athlete is positively adaptation to their training program.

Application Deadline: 26 June 2023

Apply now

11. Fully Funded PhD Position in Chemistry, biomedical engineering

Summary of PhD Program:

This PhD project seeks to develop new molecular tools (engineered amphiphilic peptides, cationic and ionizable lipids, and iron nanostructured materials), bioorthogonal catalysis and bioconjugation protocols to create innovative iron-loaded lipid nanoparticles with new chemically programmed features for development of personalised cancer vaccines, overcome immune-suppression in the tumour microenvironment (TME) and trigger iron-catalysed cancer cell death. The goal is creating a nanomedicine platform that significantly improves current immunotherapy and chemoimmunotherapy, and with potential for rapid translation into clinical practice.

Application Deadline: 26 June 2023

Apply now

12. Fully Funded PhD Position in Data Science, Mathematics, Sport and Exercise Science

Summary of PhD Program:

The aim of this PhD project is to investigate whether team performance indicators (PIs) are effective at predicting match outcomes in professional football played within the EFL Championship. The candidate will review current team performance indicators and apply these to legacy data from our project partner, Swansea City FC, to retrospectively establish their efficacy in match prediction.

The candidate will further investigate whether the current or newly identified PI’s can be reduced in order to be actionable to practitioners at the individual player level and provide a scientific basis on which to adjustment future team structure, playing formation, and strategy. Additionally, this studentship will help football practitioners understand the physical consequences of playing patterns and the ‘effort-level’ imposed on individual players, an exciting new avenue that will help redefine post-game recovery for players as a function of style of play, previously not considered.

Application Deadline: 26 June 2023

Apply now

13. Fully Funded PhD Position in Engineering

Summary of PhD Program:

The CDT, led by Professor James Sullivan and Professor David Penney, has been co-created with a range of industry partners to produce 50 doctoral graduates who will develop the next generation of functional coated products. These include next generation energy producing coatings, smart release anti-corrosion systems and antimicrobial systems for healthcare. The centre will accelerate the translation of academic research from the laboratory to the factory whilst developing the industry leaders of the future.

Application Deadline: Open until filled

Apply now

14. Fully Funded PhD Position in Engineering

Summary of PhD Program:

The Faculty of Science & Engineering is nationally and globally recognised as a centre of excellence providing an innovative, inclusive learning environment that produces lifelong learners who are prepared for the global economy. With world-class research centres and sustained investment in our outstanding resources and facilities, we provide a superb environment in which to study or conduct research.

Application Deadline: Open until filled

Apply now

The post 14 Fully Funded PhD Programs at Swansea University, United Kingdom appeared first on FellowshipBard.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Computer Science

Summary of PhD Program:

The project aims to study the feasibility of developing an AI model-based digital twin model, trained by the simulated data from physics-based model for predictive NDE. This will be achieved by systematically integrating modelling, data and AI into digital twin practices, and be delivered through the following inter-linked and measurable objectives:

• Develop appropriate AI model and digital twin framework to work with data acquired for different NDT disciplines (e.g. acoustic emission, ultrasound and computed tomography).
  
• Study, develop and validate AI models as model-based digital twin for the test specimen to predict the health conditions, which can be calibrated and improved using online test data
  
• Develop novel methods to enhance current NDT capability by exploiting AI as predictive model (using data acquired over time).

Application Deadline: 23 August 2023

Apply now

2. Fully Funded PhD Position in Biological Sciences

Summary of PhD Program:

In this collaborative PhD project the student will develop and test behaviour-based operational welfare indicators (OWIs) that can improve the welfare of selected farmed species. Using state-of-the art facilitires at the Centre for Sustainable Aquatic Research (CSAR) we will assess the behavioural changes that occurr under artificial rearing in order to improve welfare and inform artificial selection progammes. A combination of behavioural assays, machine vision and deep-learning will be used.

Application Deadline: 31 July 2023

Apply now

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3. Fully Funded PhD Position in Law

Summary of PhD Program:

The overriding aim of this project is to provide a better understanding of the nature and relative significance of the roles of different stakeholders in the governance of water. This includes Dŵr Cymru (the water authority responsible for water supply and sewerage), Natural Resources Wales (the regulator for water pollution and also responsible for drainage and flood prevention) and the many different environmental NGOs and other community groups that seek to protect water to their own ends. With a better understanding of the way conflicts between these stakeholders are played out in practice it will be possible to provide recommendations for changes to law, policy and governance structures to help reconcile these differences and assist these organisations work together to achieve better water quality.

Application Deadline: 14 July 2023

Apply now

4. Fully Funded PhD Position in Computer Science

Summary of PhD Program:

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.

Application Deadline: 28 June 2023

Apply now

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5. Fully Funded PhD Position in Medical and Health Care Studies

Summary of PhD Program:

The Swansea University School of Medicine hosts a world-leading research programme in drug discovery and anticancer research. Medicinal chemistry plays a pivotal role in a wide range of aspects of drug discovery and development, offering many opportunities for interdisciplinary research. This research project, funded by Cancer Research Wales, runs in collaboration with the School of Pharmacy and Pharmaceutical Sciences and the European Cancer Stem Cell Research Institute, both at Cardiff University, and aims to identify and develop novel inhibitors of GATA2, as an innovative approach to target leukaemia blasts and stem cells in therapy-resistant acute myeloid leukaemia (AML).

Application Deadline: 19 June 2023

Apply now

6. Fully Funded PhD Position in Sport and Exercise Science

Summary of PhD Program:

The aim of this PhD project is to investigate the application of advanced data analytics to training load data to help improve the overall performance in international swimmers. 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 loads has become a critical issue in elite sport practice and research. In this regard, monitoring athletes global training load is essential for undertaking whether athlete is positively adaptation to their training program.

Currently, training and competition data is gathered routinely 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 analysed and reported in isolation limiting the overall value and insight. The candidate will review current data streams, and apply specific data analytics to this, to retrospectively establish their efficacy in performance prediction.

Application Deadline: 26 June 2023

Apply now

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7. Fully Funded PhD Position in Biomedical Engineering

Summary of PhD Program:

The aim of this PhD project is to investigate whether team performance indicators (PIs) are effective at predicting match outcomes in professional football played within the EFL Championship. The candidate will review current team performance indicators and apply these to legacy data from our project partner, Swansea City FC, to retrospectively establish their efficacy in match prediction.

Application Deadline: 26 June 2023

Apply now

8. Fully Funded PhD Position in Aerospace Engineering

Summary of PhD Program:

The last decade has witnessed an ever-increasing demand for the application of micro-electromechanical systems (MEMS). Their low costs and high sensitivity have made them a very attractive option for detecting a variety of physical and chemical quantities, including very small mass, gas concentration and temperature variations. The proposed project aims to design and model a novel ultra-sensitive MEMS mass sensor. The sensitivity, selectivity and detection limit of the biosensor will be determined. We intend to uncover the underlying nonlinear dynamics and reduce the knowledge gap by gathering and consulting a very experienced group of researchers in the field.

Application Deadline: 5 June 2023

Apply now

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9. Fully Funded PhD Position in Sport and Exercise Science

Summary of PhD Program:

This PhD will examine biomechanical, neuromuscular, and muscle-tendon changes before and after surgery. The project will apply 3D motion capture data collection methods, existing musculoskeletal models, and imaging techniques (using ultrasound) to develop new data exploring internal knee forces and periarticular muscle-tendon properties before and after meniscal repair surgery. It is envisaged that this will improve the understanding of meniscal injuries, short and long-term consequences of surgery, which could lead to new interventions and healthcare technologies.

Application Deadline: 2 June 2023

Apply now

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10. Fully Funded PhD Position in Electronic and Electrical Engineering

Summary of PhD Program:

Cubic boron arsenide (c-BAs) is emerging as a revolutionary semiconductor exhibiting a remarkably close electron mobility of 1400 cm2/Vs (1400 cm2/Vs for silicon) and hole mobility of about 2100 cm2/Vs (450 cm2/Vs for silicon), at room temperature. While the electron mobility is comparable to silicon, the hole mobility is substantially larger. Additionally, the c-BAs measured thermal conductivity is 1000 to 1300 W/mK, well above silicon (140 W/mK). These outstanding transport properties of c-BA call for great improvements in digital, radio-frequency (mobile computing), and photovoltaic (solar cells) applications.

Application Deadline: 31 May 2023

Apply now

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11. Fully Funded PhD Position in Civil Engineering

Summary of PhD Program:

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

Application Deadline: 31 May 2023

Apply now

12. Fully Funded PhD Position in Civil Engineering

Summary of PhD Program:

Due to their multifunctional nature, EAPs can act as 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

Application Deadline: 31 May 2023

Apply now

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13. Fully Funded PhD Position in Business Administration

Summary of PhD Program:

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. On this programme, learners engage in applied research, bringing established and cutting-edge theory to bear on their practical organisational issues. You will develop and enrich practice in your field, as well as contributing to our understanding of the underpinning theoretical base for the work.

Application Deadline: 31 May 2023

Apply now

14. Fully Funded PhD Position in Civil Engineering

Summary of PhD Program:

Traditionally, flood risk is mapped using deterministic and simple hydraulic models based on unrealistic assumptions like steady state flow conditions. However, such methods are simplistic and bear large uncertainties as flood events are dynamic, complex, three-dimensional phenomena, and thus rarely comply with these assumptions. Therefore, promoting the ability to credibly map flood risk and improving our understanding of the real risk posed to the public by these events are significant.

This project aims to develop a machine learning-based stochastic hydrodynamic modelling for flood risk mapping along with uncertainty assessment. In addition to the conventional flood risk assessment, it can quantify the level of uncertainty associated with flood modelling and assess the impacts of these uncertainties on flood risk. This is vital for reliable design of flood mitigation measures and for resilience of communities at risk of flood incidents.

Application Deadline: 29 May 2023

Apply now

15. Fully Funded PhD Position in Chemical Engineering

Summary of PhD Program:

The performance and reliability of a battery pack is driven by its thermo-electro-chemistry; therefore the understanding, prediction and control of this highly coupled process is key for any novel battery design. Specifically, the capturing of the Joules Heating effect generated within a battery pack during a duty cycle is key for the prediction of localised stress concentrations or, overall failure, in the worst case scenario. This can potentially require extensive and expensive laboratory experimentation, which can delay the introduction of rapid developments in the field. With that in mind, computational simulation has been recently introduced as a complementary tool, seeking to replace lengthy experimental campaigns with high-fidelity computer models capable of predicting the behaviour of the battery at different levels (i.e. cell, pack, multi-packs).

Application Deadline: 31 May 2023

Apply now

16. Fully Funded PhD Position in Chemistry

Summary of PhD Program:

The UK agri-food industry which is worth around £108 billion to the national economy and provides over 3.7 million jobs. The agri-food sector as a whole generates around £18 billion of gross export earnings for the UK each year. The sector is keen to respond to policy issues relating to environment, energy consumption, health, food safety, wastage, and wellness as well as to consumer choice. Smart or precision agriculture is defined as a new way of sustainable agriculture which allows farmers to maximise crop yields using minimal resources (water, fertilizers, seeds etc) and reduce waste.

Application Deadline: 29 May 2023

Apply now

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17. Fully Funded PhD Position in Biological Sciences

Summary of PhD Program:

Within an EU-funded consortium seeking to advance state-of-the-art understanding and prediction of how multiple stressors and cumulative human impacts influence marine biodiversity, we are looking for a PhD candidate to work on how ‘stressors’, such as wind farms, and ‘attractors’, such as fishery discards, affect the foraging ecology of seabirds. The successful candidate would work within the Swansea Lab for Animal Movement (SLAM), deploying smart tags (such as ‘Daily Diaries’) on breeding seabirds in the North Atlantic as well as examining movement data from birds derived from ship transect data.

Application Deadline: 26 May 2023

Apply now

18. Fully Funded PhD Position in Physics

Summary of PhD Program:

Positronium (Ps), being an atomic-like purely leptonic system, attracts a great deal of theoretical studies. The same level of studies have not been achieved experimentally due to the difficulties in forming and probing the Ps. Swansea has one of only a handful of positron beamlines in the world capable of producing Ps in a manner suitable for spectroscopic investigations to compare against the predictions of these theoretical studies. This project will aim to perform experimental spectroscopic investigations of positronium.

Application Deadline: 24 May 2023

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19. Fully Funded PhD Position in Mathematics

Summary of PhD Program:

Agent-based models are used to study complex phenomena in many fields of science. While simulating agent-based models is often straightforward, predicting their behaviour mathematically has remained a key challenge. Recently developed (by the supervisor with co-authors) mathematical methods allow the prediction of the emerging both spatial and spatiotemporal patterns for a general class of agent-based models. The technique is based on the multiscale approach where the behaviour of the system at the micro-level is approximated by its behaviour at the meso- and macro-levels by using the appropriate correction mechanisms.

Application Deadline: 24 May 2023

Apply now

20. Fully Funded PhD Position in Computer Science

Summary of PhD Program:

This project studies the relationship between technology and sports, from its earliest days to the current state of the art and projections into the near future. The studentship supports study of co-production and utilisation of computing technology on and off the field of play. Areas for exploration include game tactics and coaching, athlete training and performance monitoring, and the technologically-mediated fan experience pitchside and at home.

Application Deadline: 24 May 2023

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21. Fully Funded PhD Position in Materials Engineering

Summary of PhD Program:

Galvanizing is a widely used, economical and durable method to protect steel from corrosion and continues to offer a sustainable option for significantly extending the life of steel products. Galvanized steel has broad range of applications that affect our daily lives including both automotive and construction sectors. The galvanic protection principle is based on the electrochemical relationship between steel and the zinc layer. The zinc coating acts as a sacrificial (anode) to protect the of steel (cathode) by oxidation from corrosion. For economic reasons, manufacturers reduce the weight and develop new types of sacrificial zinc (alloy) metal coatings.

Application Deadline: 22 May 2023

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22. Fully Funded PhD Position in Civil Engineering

Summary of PhD Program:

For High-speed railway, one of the most widely used track forms is the ballastless railway tracks, where the concrete slabs are normally serving as the supports under the rails. During the regular service life of ballastless railway, there may exist severe distresses, like cracks, in the concrete slab due to the train loading and severe environmental conditions, which may further affect the public safety of rail passengers. Recently, the deep learning-based methods have emerged as a powerful tool to detect the cracks in the concrete slabs of the railway automatically and intelligently. However, it may face problems like low computation accuracy and high cost. To solve this problem, this project aims to propose a novel deep learning model for automatic crack identification in concrete slab of ballastless railway with high computation efficiency and low computation cost.

Application Deadline: 22 May 2023

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