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University of Oxford PhD Projects, Programmes & Scholarships
We have 44 University of Oxford PhD Projects, Programmes & Scholarships
We have 44 University of Oxford PhD Projects, Programmes & Scholarships
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Research Studentship in Crystal Plasticity Modelling
Research Studentship in Crystal Plasticity Modelling. 3.5-year D.Phil. studentship. Project. Materials Modelling for Fusion Energy. Read more
Understanding the effect of cold work on stress corrosion cracking of nuclear reactor components Prof S. Lozano-Perez and Prof M. Moody
A potentially industrially-funded DPhil studentship; the studentship being dependent on signature by the sponsor of a contract that is currently under discussion. Read more
Understanding microstructural evolution of nuclear reactor components during rapid thermal excursions
A potentially industrially-funded DPhil studentship; the studentship being dependent on signature by the sponsor of a contract that is currently under discussion. Read more
Motion detection and correction in neuro MRI using RF sensors and learning from k-space data
Supervisors. Dr Aaron Hess (Nuffield Department of Clinical Neurosciences). Prof Jared Tanner (Mathematics). Dr Boris Maihe (Siemens). Read more
Fluoride-ion batteries. A potentially industrially-funded DPhil studentship; the studentship being dependent on signature by the sponsor of a contract that is currently under discussion.
Rechargeable batteries with higher energy densities are fundamental to meeting the ever-increasing requirements of consumer electronics, electric vehicles, and a burgeoning renewable energy economy. Read more
Advancing synthesis prediction with machine learning – A data driven/mechanistic approach
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Developing geospatial foundation models for climate model evaluation and the detection of extreme climate events
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Using Carbon Dioxide to Make Plastics and Materials – Circular Carbon Economies
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Accelerated Modelling of Reaction Pathways using Machine Learning for Carbon Capture Materials
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Modelling proton delocalization in hydrogen-bond networks with quantum simulators
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Foundations of Stochastic Gradient Descent (and Generalization)
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Optimising therapy for brain disorders through AI-refined deep brain stimulation
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Defining computation and connectivity in neuronal population activity underlying motor learning
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
Taking the structure of proteins into account: predicting if infections are resistant to β-lactam antibiotics using graph-based convolutional neural networks
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more
ML-driven fragment-based drug development using data from high-throughput X-ray crystallography and biophysical measurements
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery. Read more