30 phd-learning scholarships at ; University of Southampton

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

Supervisory Team: Dr. Muhammad Burhan Hafez (Lead Supervisor), Professor Adam Sobey PhD Supervisor: Muhammad Burhan Hafez Project description: The integration of Large Language Models (LLMs

PhD Studentship: In Generative Deep Learning for Robot Hearing

Supervisory Team: Dr Christine Evers Project Description: Are you keen on conducting research at the intersection of artificial intelligence, deep learning and robot perception? We are recruiting a

PhD Studentship: Combining Deep Learning and Computational Thermodynamics Modelling to Design Novel Functionally Graded Multimaterial Components

, this requires a multiple approach combining computational thermodynamics and deep learning. This PhD project will lead to the conception of functionally graded advanced components combining properties

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

PhD Supervisor: Prof Thomas Blumensath Supervisory Team: Prof Thomas Blumensath Project description: The University of Southampton is expanding its PhD research in the area of Quantum Technology

PhD Studentship: Machine Learning from Time Series

traces and diagnosis from medical signals such as EEG/ECG all involve data observed over time. Time series machine learning (TSML) [1,2,3,4,5] offers the potential to contributing to a huge range of

PhD Studentship: Machine Learning Approaches to Cross-modal Information Fusion in Podiatric X-ray Imaging

or non-weightbearing three-dimensional X-ray computed tomography (CT) images, which can be generated with equipment readily available in most clinical settings. This PhD project will explore

PhD Studentship: Novel multi-functional coherently combined fibre laser amplifiers

activities to facilitate cohort building and group learning exercises throughout the PhD programme. The industrial partner, NKT Photonics , will participate in the project via its UK operations, and will