{"id":11670,"date":"2024-05-22T09:00:02","date_gmt":"2024-05-22T09:00:02","guid":{"rendered":"https:\/\/notesbard.com\/?p=11670"},"modified":"2024-05-18T18:02:24","modified_gmt":"2024-05-18T18:02:24","slug":"17-fully-funded-phd-programs-at-swansea-university-wales","status":"publish","type":"post","link":"https:\/\/notesbard.com\/17-fully-funded-phd-programs-at-swansea-university-wales\/","title":{"rendered":"17 Fully Funded PhD Programs at Swansea University, Wales"},"content":{"rendered":"
If you’re a Masters degree holder and seeking Fully Funded PhD Programs, Swansea University, Wales has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.<\/span><\/p>\n 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\u2019s 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.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 31 July 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n Non-destructive testing (NDT) is a testing and analysis technique used by industry to evaluate the properties of a material, component, structure or system for characteristic differences or welding defects and discontinuities without causing damage to the original part. Among various NDT approaches, Ultrasound Testing (UT) and X-ray Computed Tomography (XCT) are the main focus of this project. Both UT and XCT techniques can produce large 3D datasets that can be challenging to interrogate for human experts to fully analyse. Small defects or anomalies may be missed when manually examining through the acquired volumetric data. Artificial intelligence (AI) has emerged as a promising solution to automate and enhance defect detection in these complex structural data. The aim of this study is to improve diagnostic accuracy through development an AI system that can perform rapid processing of large 3D data volumes, and identify defects that are difficult to discern with the naked eye and provide a second opinion with a level of certainty to assist human experts.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 31 July 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 26 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This postgraduate research studentship is an exciting opportunity to contribute to the development of a novel quantum simulation device technique. This project is a collaborative effort with Silvaco Group, Inc., a leading global company specializing in EDA and TCAD software. The primary objective of this scholarship is to devise a quantum simulation technique capable of solving Schr\u00f6dinger and Poisson equations in open systems, such as semiconductor devices, in a self-consistent manner. This will be achieved through the application of the Quantum Transmitting Boundary Method (QTBM). The silicon nanowire transistor will serve as the test device for this project. The ultimate goal is to develop a 3D QTBM code with dissipative scattering, which will be instrumental in predicting the performance of multi-gate nanoscale transistors.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 19 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n 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\u2019s expertise in chemistry (Dr Bhatia), natural products (Dr Loveridge), and microbiology (Professor Wilkinson).\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 19 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n <\/p>\n UKOPA (the United Kingdom Onshore Pipeline Operators\u2019 Association) members operate a network of more than 27,000 km onshore pipeline. UKOPA is the authoritative industry body behind this essential part of energy infrastructure. Pipelines provide the safest and most energy efficient means of transporting a range of hazardous fluids, and pipeline operators are constantly working to improve safety and protect the environment. Since UKOPA was established in 1996, it has brought operators together and helped them engage more effectively with each other, as well as with regulators and other key stakeholders. As the UK prepares for the energy transition a number of these legacy pipelines may be converted to Hydrogen service or to CO2 pipelines. As such, it is vitally important that they remain available for use.<\/span><\/p>\n Application Deadline:<\/strong> 17 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This PhD studentship is an opportunity to contribute to a pioneering research project on cubic silicon carbide (3C-SiC) power electronic transistors. This project is a culmination of extensive research efforts by our dedicated team at Grenoble and Swansea, who have made significant strides in the field of wide-bandgap power electronics. The research aims to explore the potential of 3C-SiC, a novel polytype of silicon carbide (SiC), in overcoming the limitations of its hexagonal counterpart (4H-SiC). Unlike other materials, 3C-SiC offers a unique advantage – it can be doped, n- or p-type, over a wide range of resistivity, making it a promising candidate for power electronic applications. The 4H-SiC power electronic transistors suffer from low channel mobility, contact resistance, and poor reliability. The cubic polytype of SiC, 3C-SiC, can overcome these obstacles.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 14 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n This PhD project will investigate and build spoken language understanding (SLU) models from data for a social care robot simulation, to react quickly and effectively to instructions in a home environment. The models built will respond to instructions like \u201cplease put the remote control on the table\u201d and follow-up repairs like \u201cno, the left-hand table\u201d when the speaker realizes the robot has made a mistake, in real time and without delay. To build these SLU algorithms, the project will involve collecting data with pairs of human participants in a Virtual Reality environment. The models built will aim to give the most accurate user intention word-by-word, but also a continuous measure of confidence corresponding to human reaction times. The models will be tested both in the simulation environment and real-world equivalent robots.<\/span><\/p>\n Application Deadline:<\/strong> 12 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Modern Railway Systems operate from accurate geographical maps called scheme plans. They contain the topology of the tracks, positions of signalling equipment, and conceptual constructs such as train routes, and may have thousands of elements. Due to the large quantity of possible data permutations, manual testing of the scheme plan data preparation system is a laborious process. To avoid that we aim at an alternative approach, via the automated generation of test data. These will be constructed following the European Train Control System(ETCS) standards involving significant domain knowledge to interpret the requirements. Coverage metrics will be added to understand how well a set of test data exercises the requirements.<\/span><\/p>\n Application Deadline:<\/strong> 6 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Established in 2012\/13, the Swansea and Grenoble (UGA) Institutional Strategic Partnership was one of the first major strategic partnerships between a UK and French university. It is a unique, institutional-wide multi-disciplinary collaboration, which includes joint research and publication, student and staff exchange, joint PhDs and joint master\u2019s programmes. Over 30 Joint Doctoral Degrees have been developed through the strategic partnership to date, across diverse subject areas, including medicine, engineering and law. Candidates spend 50% of their time in both Swansea and Grenoble and are jointly supervised by academic staff from both universities. Successful candidates receive a double degree from the Universit\u00e9 Grenoble Alpes and Swansea University.\u00a0<\/span><\/p>\n Application Deadline:<\/strong> 5 June 2024<\/span><\/p>\n View Details<\/span><\/strong><\/span><\/a><\/p>\n <\/p>\n Sand bars are a prominent feature of nearshore zone in coastal seas. They can cause coastal flooding and erosion when the trough is close to the coastline, can induce navigation and bathing hazards and contribute to hazardous rip current generation. Nearshore bars are dynamic features that strongly linked to wave breaking and associated sediment transport phenomenon. They evolve and migrate at a range of timescales, which makes them a key contributor medium to long term morphodynamic evolution of coastlines. Understanding the evolution of nearshore bars and the ability to accurately simulate bar dynamics is a key requirement of nearshore morphodynamic predictions.\u00a0<\/span><\/p>\n1. Fully Funded PhD Position in Computer Science<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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2. Fully Funded PhD Position in Civil Engineering<\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
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3. <\/span>Fully Funded PhD Position in Sports Science<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
4. <\/span>Fully Funded PhD Position in Electronic and Electrical Engineering<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
5. <\/span>Fully Funded PhD Position in Chemistry<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
Find More PhD Programs<\/span><\/a><\/span><\/h3>\n
6. <\/span>Fully Funded PhD Position in Materials Engineering<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
7. <\/span>Fully Funded PhD Position in Electronic & Electrical Engineering<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
8. <\/span>Fully Funded PhD Position in Computer Science<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
9. <\/span>Fully Funded PhD Position in Computer Science<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
10. <\/span>Fully Funded PhD Position in Mathematics<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n
Find More PhD Programs<\/span><\/a><\/span><\/h3>\n
11. <\/span>Fully Funded PhD Position in Civil Engineering<\/span><\/span><\/h1>\n
Summary of PhD Program:<\/span><\/strong><\/span><\/h2>\n