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We have 10 physics-informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
physics-informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 10 physics-informed PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Physics-informed transfer learning for engineering asset management
Overview. This research aims to develop a physics-informed transfer learning model for engineering asset management, by effectively incorporating domain knowledge of experts/engineers into the machine learning model to improve its explainability. Read more
Physics-Informed Machine Learning for Behavioural Analysis of SiC/SiC Materials in Fusion Nuclear Reactors
In collaboration with the UK Atomic Energy Authority (UKAEA), this project aims to leverage the transformative potential of machine learning to unravel the operational behaviour of Silicon Carbide/Silicon Carbide (SiC/SiC) materials. Read more
Machine Learning models for subgrid scales in turbulent reacting flows
Supervisory Team. Temistocle Grenga, Ed Richardson. Project description. Read more
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(EPSRC DTP) Developing MRI acquisition and modelling to measure water exchange processes in the brain
Magnetic resonance imaging (MRI) is a non-invasive imaging modality that can produce exquisite images of the brain. Read more
Machine learning to accelerate the discovery of energy materials
A PhD studentship using machine learning to accelerate the discovery of energy materials is available in the research group of Dr Alex Ganose based in the Department of Chemistry, Imperial College London (. Read more
Physics Informed Neural Networks to build a superior biofluids solver
This PhD is an exciting opportunity for a highly motivated candidate with academic ambitions. The project aims to develop a new suit of biofluids solver as a significant advance for medical diagnostics and device development. Read more
Embedding physical models into deep neural networks for sonar detection (co-funded by SeeByte Ltd)
Deep Neural Networks (DNNs) achieve the state-of-the-art performance in several tasks in computer vision, natural language processing, image reconstruction, and many other areas. Read more
Digital twining for deformable objects – achieving real-time simulations
A step change in the simulation of the complex interactions between flexible objects and immersing fluid flows is required in the development of digital… Read more
Machine learning for sustainable transportation systems
This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and transportation systems. Read more
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