{"id":8055,"date":"2024-02-19T10:00:29","date_gmt":"2024-02-19T10:00:29","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=8055"},"modified":"2024-03-17T17:04:21","modified_gmt":"2024-03-17T17:04:21","slug":"13-fully-funded-phd-programs-at-swansea-university-united-kingdom","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/13-fully-funded-phd-programs-at-swansea-university-united-kingdom\/","title":{"rendered":"13 Fully Funded PhD Programs at Swansea University, United Kingdom"},"content":{"rendered":"
Are you holding Master\u2019s degree and looking for fully funded PhD positions? Swansea University, United Kingdom invites online application for multiple funded PhD Programs \/ fully funded PhD positions in various research areas.<\/span><\/p>\n 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\u2019s Online Application Portal.\u00a0<\/span><\/p>\n The project concerns exploring the aerodynamic performance and the underpinning flow physics of the electrically powered advanced air mobility vehicles, which are expected to shift the paradigm in civil aviation.\u202fThe knowledge gap in understanding the complex flow interactions between the fuselage, wings, and rotors due to nonconventional layouts introduces challenges AAM vehicle designs which are yet to be addressed. This challenging project\u2019s main objective is to explore the effect of gust and turbulence on the wing-rotor and fuselage-rotor interactions to unravel the ultimate impact on aerodynamic performance and to provide design guidelines for optimising the performance of AAM vehicles for real-world applicability.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The\u202fAll-Wales Intensive Learning Academy for Innovation in Health and Social Care has been developed to deliver a world-class learning, research and teaching base that will equip leaders with the confidence, skills and capability to realise innovation in health & care and wellbeing. Supported by Welsh Government, the Academy has been developed to support innovation, from the incremental to transformative across Health & Social Care.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n This PhD will focus on unravelling microbiome-pathogen interactions in Atlantic salmon, and how this relationship is shaped by diet and environment. The project represents an exciting collaboration between Swansea University and Mowi Feed, where we ultimately aim to better understand how functional feeds can improve fish health and disease resistance. All dietary & pathogen experiments will be conducted by Mowi Feed, in Norway and Scotland. The student, based in Swansea, will be focused on conducting molecular, bioinformatic and community-modelling analyses to determine microbiome-pathogen-environment interactions, including 16S rRNA sequencing, metabolomics and transcriptional profiling, as well as some in vitro microbial interaction assays.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The student will join this world leading research programme, performing numerical studies of new strongly coupled field theories taking advantage of supercomputing resources at facilities based in Swansea, in the United Kingdom, and overseas. The student will perform the first extended, high precision numerical study of such models, computing their spectroscopy and phase structure, and benchmarking phenomenological applications at the crossover between particle physics and astrophysics.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling frontier numerically intensive processes to answer outstanding foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready software. As part of this strategic ambition, we propose to fund a studentship for a joint project between Swansea University and The University of Edinburgh, focused on software development, algorithms, and benchmarking for mathematics and theoretical physics research.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The PhD will reconcile conflicting evidence by gaining a comprehensive understanding of cooling mechanisms associated with irrigation. Research will encompass controlled laboratory experiments in the Bioscience Controlled Temperature and Humidity experimental rooms, environmental modelling to predict heat transfer variation with sand permeability, evaporation and transpiration rates, and field studies with partners in T\u00fcrkiye to test model outputs (Sea Turtle Research, Rescue and Rehabilitation Center (DEKAMER)).\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Building upon cutting-edge work by the group and with the support of EPSRC and the UK Defence, Science and Technology laboratory (DSTL), this PhD project sets out an ambitious research plan which will investigate, with the help of cutting-edge computational modelling and experimental validation, two fundamental aspects: (1) the time-varying response with associated viscoelastic effects in EAP soft robots, in order to predict deformations accurately, and (2) the reliable control in EAP soft robots when accounting for complex internal architecture.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n 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.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The current estimated damage due to coastal flooding in the UK alone is \u00a3540 million\/year. Coastal flooding will rapidly increase in future, as the UK is expected to face at least 1m of sea level rise by 2100. The UK Committee on Climate Change acknowledges the urgent need for implementing flood mitigation measures, while the UK Government\u2019s Resilient Nation prosperity outcome recognises the need to implement climate-adaptive flood defences. Coastal wetlands have been recognised as potential buffers against storm impacts, serving as a Nature-based Solution (NbS) for flood mitigation, which have become favoured options over building hard defences.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n 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\u2019 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.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n 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.\u00a0<\/span><\/p>\n1. Fully Funded PhD Position in Aerospace Engineering<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 26 February 2024<\/span><\/span><\/h3>\n
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2. <\/strong><\/span>Fully Funded PhD Position in Business Management<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 21 February 2024<\/span><\/span><\/h3>\n
3. <\/strong><\/span>Fully Funded PhD Position in Biological Sciences<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 4 March 2024<\/span><\/span><\/h3>\n
4. <\/strong><\/span>Fully Funded PhD Position in Physics<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 26 February 2024<\/span><\/span><\/h3>\n
5. <\/strong><\/span>Fully Funded PhD Position in Physics<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 26 February 2024<\/span><\/span><\/h3>\n
6. <\/strong><\/span>Fully Funded PhD Position in Biological Sciences<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 26 February 2024<\/span><\/span><\/h3>\n
7. <\/strong><\/span>Fully Funded PhD Position in Civil Engineering<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 28 February 2024<\/span><\/span><\/h3>\n
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8. <\/strong><\/span>Fully Funded PhD Position in Mechanical Engineering<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 28 February 2024<\/span><\/span><\/h3>\n
9. <\/strong><\/span>Fully Funded PhD Position in Civil Engineering<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 28 February 2024<\/span><\/span><\/h3>\n
\n10. <\/strong><\/span>Fully Funded PhD Position in Computer vision, artificial intelligence<\/strong><\/span><\/h1>\nSummary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 28 February 2024<\/span><\/span><\/h3>\n
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11. <\/strong><\/span>Fully Funded PhD Position in Computer Science<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 26 February 2024<\/span><\/span><\/h3>\n