Are you holding Master’s degree and looking for fully funded PhD positions? Swansea University, Wales, United Kingdom invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
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
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
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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
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
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
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
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
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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
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
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
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
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
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.
