Are you holding Master’s degree and looking for fully funded PhD positions? University of Oxford, Oxford, England 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 Reactive Burn Modelling
Summary of PhD Program:
The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap within the energetics field. Whilst many reactive burn models have been developed to simulate this behaviour, they are generally designed for ideal explosives and are mostly engineering models fitted to test data, which are therefore only useable within a narrow range of scenarios. These limitations result in the requirement of large number of high-cost experiments being conducted to populate the models.
Application Deadline: 11 April 2025
2. Fully Funded PhD Position in Mechanics at Extremes: Dynamic Tensile Failure
Summary of PhD Program:
In this DPhil, you will study the tensile deformation of body centred cubic (BCC) materials under combined conditions of high plastic strain (>1) and high strain-rate (>103 s-1). You will lead the development of new techniques for producing and diagnosing dynamic tension in materials in real-time, building on the extensive capabilities within the Impact and Shock Mechanics Laboratory. These results, and accompanying microstructural analysis will be used to inform and advance our crystal-plasticity/finite-element models to improve understanding of materials in this unique loading regime.
Application Deadline: 11 April 2025
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3. Fully Funded PhD Position in Shock Response of Hexagonal Crystals
Summary of PhD Program:
The design and selection of materials for space and similar extreme physical environments relies upon deep understanding of how materials deform, transform and even fail under the sudden application of pressure. In this project you will study how the orientation of a crystal affects its response to dynamic high pressure such as that produced through impact and shock compression. Building upon earlier research into BCT structures, this project will specifically focus on hexagonal close packed crystals (titanium, magnesium, zirconium, etc.), due to their attractive properties and widespread use in the aerospace and nuclear industries.
Application Deadline: 11 April 2025
4. Fully Funded PhD Position in Isogeometric modelling for high-strain rate analyses of aero-space components
Summary of PhD Program:
In this DPhil project, you will develop and implement novel, NURBS based, element formulations and validate the application of IGA to mechanical problems with complex features and close to material failure at high rate (e.g. extreme deformation, contacts, failure). Furthermore, you will have the opportunity to assess the scalability of IGA in Massively Parallel Processing simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group.
Application Deadline: 11 April 2025
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5. Fully Funded PhD Position in Mechanistic modelling of hydrogen-material interactions
Summary of PhD Program:
Hydrogen will play a major role in decarbonising energy-intensive industries worldwide and we need to develop materials-based solutions to enable safe and reliable hydrogen adoption. This PhD project will develop new, physically-based models to better understand and predict the behaviour of metallic alloys exposed to cyclic loading and hydrogen-containing environments. Commercial or open-source finite element codes will be used to conduct coupled deformation-diffusion-fracture simulations that resolve the material physics of the rich problem which is hydrogen-assisted fatigue.
Application Deadline: 4 March 2025
6. Fully Funded PhD Position in Advanced Memory Architectures for AI systems
Summary of PhD Program:
The project aims to solve the existing bottlenecks in AI training, and introduce a new interconnect for it. The project rethinks system design at multiple levels, from the low-level physical design to the highest-level application. It combines innovation in photonics, networking, computer architecture, memory systems, hardware/software co-design, distributed systems and more. It will address real-world challenges such as resilience and recovery, manufacturability, and operational constraints.
Application Deadline: 4 March 2025
7. Fully Funded PhD Position in High Performance AI Systems
Summary of PhD Program:
The project aims to solve the existing bottlenecks in AI training, and introduce a new interconnect for it. The project rethinks system design at multiple levels, from the low-level physical design to the highest-level application. It combines innovation in photonics, networking, computer architecture, memory systems, hardware/software co-design, distributed systems and more. It will address real-world challenges such as resilience and recovery, manufacturability, and operational constraints.
Application Deadline: 4 March 2025
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8. Fully Funded PhD Position in High Performance Interconnect for AI Systems
Summary of PhD Program:
The project aims to solve the existing bottlenecks in AI training, and introduce a new interconnect for it. The project rethinks system design at multiple levels, from the low-level physical design to the highest-level application. It combines innovation in photonics, networking, computer architecture, memory systems, hardware/software co-design, distributed systems and more. It will address real-world challenges such as resilience and recovery, manufacturability, and operational constraints.
Application Deadline: 4 March 2025
9. Fully Funded PhD Position in Quantum Networks
Summary of PhD Program:
This project will focus on the development of quantum memories using light-matter interactions in atomic systems. In particular we will develop a quantum memory that can store high-bandwidth photons at telecommunication wavelengths, and focus on optimizing the efficiency and storage time of the system as well as exploring its multi-mode capability. We will also explore how this same system can be used as a fast, low-loss switch for quantum data centres. The development of a multi-mode quantum memory at telecommunication wavelengths would be a key component for distributing entanglement across quantum networks.
Application Deadline: 4 March 2025
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10. Fully Funded PhD Position in Generative AI for Renewable Development
Summary of PhD Program:
The aim of this studentship will be to investigate the opportunity for specialised generative AI co-pilots to help renewable developers take projects from conception to implementation. As part of the UK’s net-zero transition, £10bn+ is being invested per year in renewable generation. Project planning is critical for success, but it is also highly complex and requires significant time from expert analysts. To address this, we will leverage the new opportunity created by interactive AI co-pilots that can assist human experts with analysis and decision-making.
Application Deadline: 4 March 2025
11. Fully Funded PhD Position in Experimental and Numerical Hypersonic Aerodynamics and Heating
Summary of PhD Program:
Shock heated gas in front of a hypersonic vehicle can reach enormous temperatures. Rapid expansion of this gas can lead to non-equilibrium processes due to the rapid drop in pressure at short time scales. This can lead to back shell radiative heating, communications blackouts and observability. This project will undertake fundamental experimental and numerical investigations of high-speed expanding flows.
Application Deadline: 4 March 2025
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12. Fully Funded PhD Position in Deformation and fracture of TRISO fuel particles
Summary of PhD Program:
In this project, you will have the opportunity to be trained and become a proficient user of a range of advanced experimental techniques. For instance, you will learn how to use synchrotron X-ray Computed Tomography (XCT), a non-destructive imaging technique, to perform crushing experiments of TRISO particles over a range of temperatures, thereby achieving a better understanding of the deformation behaviour of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional to validate the experimental findings.
