18 machine-learning-phd PhD scholarships at ; University of Southampton

PhD Studentship: Space Trajectory Classification using Machine Learning

Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a

PhD Studentship: Machine Learning Models for Subgrid Scales in Turbulent Reacting Flows

Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural

PhD Studentship: Machine learning sustainable electricity markets (ML-SEM)

Supervisory Team: Hector Calvo-Pardo; Vahid Yazdanpanah; Tiago Alves (Solar Americas ); Enrico Gerding PhD Supervisor: Hector Calvo-Pardo Project description: Machine learning (ML) holds immense

PhD Studentship: General Purpose Machine Learning Tool-Kit for Bragg Coherent Diffraction Imaging

developments in machine learning (ML) for phase retrieval. This project is a collaboration with the Ada Lovelace Institute and Diamond Light Source. If you are interested, please contact the supervisor for more

PhD Studentship: Using Machine Learning To Evaluate Atomic Force Microscopy Nanoindentation Data

is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer

PhD Studentship: Efficient End-to-End Quantum Machine Learning Strategies for Imaging

Engineering. In addition to the research project outlined below you will receive substantial training in scientific, technical, and commercial skills. This project looks at efficient quantum machine learning

PhD Studentship: Of mice and women: Defining the role of oestrogen in regulating sex specific bone matrix composition, bone strength and mechanisms of skeletal repair

fracture occurrence reported to be 3-fold higher in women than men during military training. This PhD studentship will combine state-of-the-art imaging techniques, mechanical testing and finite element

PhD Studentship: AI-based multi-modal 3D environment model reconstruction

learning would have to provide strong justification that they would be able to complete a PhD in this field. Essential selection criteria include: Prior knowledge in computer vision and machine learning

PhD Studentship: Understanding Deep Learning

PhD Supervisor: Antonia Marcu Supervisory Team: Antonia Marcu, Jonathon Hare Project description: Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left

PhD Studentship: Skill Acquisition in Lifelong Robot Learning with Large Language Models

University Guide 2022) within the University of Southampton which is ranked in the top 1% of universities worldwide. The successful candidate must have a strong background in machine learning. Prior knowledge