10 machine-learning Fellowship positions at The University of Southampton

Research Fellow in Bayesian Machine Learning

with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and

Research Software Engineer / Research Fellow in AI/ML

funded project aimed at enhancing medical diagnostics through the application of machine learning and artificial intelligence. In this capacity, you will lead the development of algorithms to improve

Research Fellow in AI For Good

research (machine learning, multi-agent systems, causal AI, optimisation), along with participation in a range of multidisciplinary research projects that will not only include developing AI systems for good

Research Fellow in Offshore Renewable Energy (Computational Geosciences): Intelligent & Resilient Ocean Engineering

with geotechnical engineering experience, geophysical data analysis and machine learning skills. The Research Fellow in Intelligent & Resilient Ocean Engineering – Geoscience will join a large community

Research Fellow in Deep Representation Learning

Machine Learning, Statistics, or a related field, who have in-depth knowledge in and demonstrable experience with: Recent deep learning techniques, including, e.g., diffusion models and attentional models

Research Fellow / Senior Fellow: Nanophotonics and Picophotonics

, alongside a collaborative approach. Prior experience in computational modelling, the application of machine learning, and development of precise optical experiments and instrumentation will be advantageous

Research Fellow – Age Verification/Biometrics (KTP Associate)

image processing, biometrics, security, machine learning or a related discipline, and the ability to write for publications, present research proposals and results to non-scientific audiences

Research Fellow in High-Performance Computing

new and existing machine learning methods to build intelligent and proactive risk models. The diverse set of modelling, learning, and data management components will run on a heterogenous cloud, using

Research Fellow in Hardware Security

we teach to our students - and what they are teaching us. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD

Research Fellow in Population Level Biomechanical Risk Assessment of Injury Associated to Vibration Exposure

will be comfortable working with statistical methods to quantify essential characteristics of complex data sets and ideally have practical experience in using machine learning approaches. In