Fully Funded Research Scholarships for PhD Students at Swansea University (UK)

Fully funded research scholarships are open for PhD students in various fields at Swansea University in the United Kingdom. Candidates of any nationality are eligible for these scholarships. These scholarships cover full tuition fees, research expenses, and annual stipends.

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Swansea University

Swansea University is a Welsh public research university in Swansea, Wales, United Kingdom. The University community thrives on exploration and discovery and provides an ideal blend of excellent teaching and research, as well as an enviable quality of life. Its waterfront campuses make it a desirable location for students and staff from all over the world, and its multicultural community provides a global perspective, allowing those who join it to develop skills and knowledge that will set them up for successful and rewarding careers.

Swansea University, UK Offers Fully Funded Research Scholarships
Swansea University, UK Offers Fully Funded Research Scholarships

Swansea University Fully Funded Research Scholarships for PhD Students

A number of scholarships are offered to domestic and international students to provide them with opportunities to showcase their talents and skills. Below is a brief introduction to fully funded research scholarships for PhD Students. These scholarships are available in various fields of research. Most of these doctoral scholarships are offered for 4 years.

Fully Funded UKRI CDT AIMLAC PhD Scholarships

AIMLAC (Artificial Intelligence, Machine Learning, and Advance Computing) aims to train the next generation of AI innovators in a variety of STEMM disciplines. The Centre for Doctoral Training (CDT) offers advanced multidisciplinary training in an inclusive, caring, and open environment that encourages each student to reach their full potential. Applications from candidates of any nationality with diverse backgrounds who can positively contribute to society’s future are encouraged.

Benefits:

These are competitive scholarships and cover all tuition fees as well as an annual stipend of £17,668. Additional funds will be made available for research.

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Deep-Learning Accelerated Computational Fluid Dynamic Model For Pollutant Dispersion In Urban Environment (RS446)

Computational methods for predicting complex unsteady flows are computationally difficult, whereas full-field experimental methods are prohibitively expensive. This project is at the cutting edge of the rapidly developing fields of machine learning and data-driven computational modeling. The project aims to create novel new models that predict fluid mechanic properties by integrating advances in high-order CFD techniques for accurate and robust simulations of urban flows.

  • Funding Providers: UKRI and Swansea University
  • Host Institute: Swansea University
  • Subject areas: Computational Engineering/ Machine Learning
  • Aligned program of study: PhD in Civil Engineering
  • Project Start Date: 1 January 2024
  • Application Closing Date: 13 November 2023

Australia Awards Scholarships for International Students

Candidates must normally have a 2.1 degree (or non-UK equivalent as defined by Swansea University) in Engineering or a related science discipline.

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Visualization of Temporal Networks Through Interactions with The Space-Time Cube (Rs179)

The student will look into perceptually effective ways to divide and visualize the space-time cube. To begin, the project will visualize the contents of this space-time cube using an embedded network drawn with an event-based dynamic graph drawing algorithm. In this case, the visualization methods will concentrate on visualizing the already existing structure within the drawing, which takes into account both spatial position and time at the same time. Then, we’ll look into methods for drawing dynamic graphs on demand in a user-controlled space-time cube.

  • Funding Provider: Engineering and Physical Sciences Research Council (EPSRC) DTP
  • Host Institute: Swansea University
  • Subject areas: Computer Science
  • Aligned program of study: PhD in Computer Science
  • Project Start Date: 1 July 2023
  • Application Closing Date: 5 May 2023

Candidates must normally have a 2.1 undergraduate degree in Computer Science, Mathematics, or a closely related discipline, or a master’s degree with a minimum overall grade of ‘Merit’ (or Non-UK equivalent as defined by Swansea University).

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Civil Engineering: Intelligent Assessment Of Functional Construction Materials (RS311)

A suitable candidate will have a strong background in Engineering (materials and mechanics) and Mathematics (analysis and numerical modeling), as well as a strong interest in learning and developing new testing and modeling technologies in the context of real-world problems.

  • Funding Provider: EPSRC and British Board of Agrément
  • Host Institute: Swansea University
  • Subject areas: Materials; Modelling, Data and AI
  • Aligned program of study: PhD in Civil Engineering
  • Project Start Date: 1 July 2023
  • Application Closing Date: 10 May 2023

Robert S. McNamara Fellowships Program by World Bank

Candidates must normally have a 2.1 degree (or non-UK equivalent as defined by Swansea University) in Engineering or a related science discipline.

Ai-Based Crop Detection Using Spectral Remote Sensing Images (Rs291)

The availability of free medium/high spatial resolution satellite images has enabled possible solutions to the challenging dynamic land use and land cover mapping problems. The goal of this project is to create new AI techniques for crop detection and mapping.

Crop detection is the first step in AI-based time series analyses, which aim to provide fundamental data for a wide range of socioeconomic applications. Crop control and yield estimation are examples, as change monitoring, supply chain and food security policies, and climate change policies such as crop rotation, insurance, and fertilization services.

  • Funding Provider: Engineering and Physical Sciences Research Council (EPSRC) DTP and Swansea University’s Faculty of Science and Engineering
  • Host Institute: Swansea University
  • Subject areas: Materials; Artificial Intelligence, Image Analysis
  • Aligned program of study: PhD in Computer Science
  • Project Start Date: 1 July 2023
  • Application Closing Date: 10 May 2023

Candidates must normally have a 2.1 undergraduate degree and a recognized master’s degree with Merit (or Non-UK equivalent as defined by Swansea University) in Data Science, Computer Science, Mathematics, Industrial Engineering, or a closely related discipline.

Computational Law of Autonomous Vehicles (RS289)

The challenges of computational law are to integrate logical formalizations of the law, rules and actions in a programming language, and natural language representations. The overall goal is to incorporate soft legal constraints into operating systems rather than hard constraints, and external adjudication. There has been academic progress in the last three years to integrate the law (the Law Commission’s consultation) with Artificial Intelligence.

The PhD will advance cutting-edge approaches and tools to conduct fundamental research on computational law for AVs on issues such as vagueness/open-textured terms, conflicting information, exceptions, events/causation, and natural language translations of logic or system reports. The work is relevant to the government as well as the insurance and legal service industries. Data science connections and integration will also be investigated.

  • Funding Provider: EPSRC DTP Studentship
  • Host Institute: Swansea University
  • Subject areas: Computer Science
  • Aligned program of study: PhD in Computer Science
  • Project Start Date: 1 July 2023
  • Application Closing Date: 12 May 2023

List of Scholarships in Canada for Canadian and International Students

Candidates must normally have a 2.1 undergraduate degree in Computer Science, Mathematics, or a closely related discipline, or a master’s degree with a minimum overall grade of ‘Merit’ (or Non-UK equivalent as defined by Swansea University).

Data-Informed In-Silico Modelling Of Multi-Material Electro Active Polymer Based Soft Robots (RS293)

The development of EAP soft robots is still in its early stages due to the numerous design parameters that must be considered, acting as a bottleneck for progress in the field. Novel computational modeling, 3D/4D printing, and prototyping of two/three multiphase EAPs will be used in this project to “inform” the in-silico design of novel EAP soft robots.

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  • Funding Provider: UK Defence, Science and Technology Laboratory (DSTL) and Swansea University’s Faculty of Science and Engineering
  • Host Institute: Swansea University
  • Subject Areas: Computational mechanics; Engineering simulation
  • Aligned Program of Study: PhD in Civil Engineering
  • Project Start Date: 1 October 2023
  • Application Closing Date: 31 May 2023

Candidates must normally have a 2.1 degree (or non-UK equivalent as defined by Swansea University) in Engineering or a related science discipline.

Civil Engineering: Time-Varying Control Of Multi-Material Electro-Active Polymer Soft Robots (RS294)

Building on the group’s cutting-edge work and with the support of the EPSRC and the UK Defense, Science and Technology Laboratory (DSTL), this PhD project lays out an ambitious research plan that will investigate, using cutting-edge computational modeling and experimental validation, two fundamental aspects: (1) the time-varying response with associated viscoelastic effects in EAP soft robots, in order to accurately predict deformations, and (2) the reliable prediction of deformations.

  • Funding Provider: EPSRC iCASE scholarship with the industrial support of UK Defence, Science and Technology Laboratory (DSTL)
  • Host Institute: Swansea University
  • Subject Areas: Computational mechanics; Engineering simulation
  • Aligned Program of Study: PhD in Civil Engineering
  • Project Start Date: 1 October 2023
  • Application Closing Date: 31 May 2023

GREAT Scholarships in Multiple Fields in the Uk

Candidates must normally have a 2.1 degree (or non-UK equivalent as defined by Swansea University) in Engineering or a related science discipline.

Biological Sciences: Understanding Seabird Responses to Stressors (RS308)

We are looking for a PhD candidate to work on how stressors like wind farms and ‘attractors’ like fishery discards affect the foraging ecology of seabirds as part of an EU-funded consortium aiming to advance state-of-the-art understanding and prediction of how multiple stressors and cumulative human impacts influence marine biodiversity.

  • Funding Provider: EU
  • Host Institute: Swansea University
  • Subject Areas: Animal movement, seabird behavioral ecology
  • Aligned Program of Study: PhD in Biological Sciences
  • Project Start Date: 1 October 2023
  • Application Closing Date: 26 May 2023

Stipendium Hungaricum Scholarship’s Students at Risk Subprogramme

Normally, candidates must have a 2.1 undergraduate degree in Biosciences or a related subject, or a master’s degree with a minimum overall grade of ‘Merit’ (or Non-UK equivalent as defined by Swansea University).

Sport And Exercise Sciences: Examining Biomechanical, Neuromuscular, And Muscle-Tendon Changes Following Meniscal Surgery (RS288)

Traumatic knee injuries, such as meniscus tears, are common in sports and contribute significantly to the global disease burden of Knee Osteoarthritis (KOA). Surgical interventions account for 63.8% of meniscus injury cases, putting a significant strain on national healthcare systems. Despite surgery, most people continue to have pain, swelling, and poor knee function in their affected knee and are three times more likely to develop KOA in their affected knee than in their contralateral knee.

  • Funding Provider: Swansea University
  • Host Institute: Swansea University
  • Subject Areas: Sport Sciences/ Biomechanics
  • Aligned Program of Study: PhD in Sport and Exercise Science
  • Project Start Date: 1 October 2023
  • Application Closing Date: 2 June 2023

Fully Funded SBW Berlin Scholarship in Germany – No Application Fee

Candidates must normally have a 2.1 degree (or non-UK equivalent as defined by Swansea University) in Sports Science or a related science discipline.

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