15 machine-learning positions at UNIVERSITY OF SOUTHAMPTON

Research Fellow in Efficient Machine Learning Systems

 computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable.  They will have excellent programming skills (Python, C

Research Fellow in Bayesian Machine Learning for Psychoacoustic Modelling

listeners. We are seeking candidates 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

Research Fellow in Bayesian Machine Learning for Psychoacoustic Modelling

term basis for 36 months due to funding restrictions. As part of your role, you will: Develop novel Bayesian machine learning approaches for psychoacoustic modelling. Publish your findings at top-tier

Research Fellow, Vision, Learning and Control

post for a post doc/research software engineer to work on EPSRC grant EP/W030756/2: “aeon: a toolkit for machine learning with time series”. aeon is an easy-to-use, scikit-learn compatible toolkit for a

Associate Professor / Professor in Digital Health

analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans these backgrounds with a track record and demonstrated curiosity

Data Technician

performance. Most recently, we have used existing data to train machine learning/AI algorithms to mirror the multidisciplinary team (MDT) process that determines the course of treatment for patients, as a first

Research Fellow in Drivers of Global Water and Sediment Dynamics

with a global sediment database and use remotely sensed and other geographical data with machine learning/Bayesian Modelling techniques to establish drivers of global sediment flux. They will use

Research Fellow in Responsible AI

strategic investment by UKRI, and part of the School of Electronics and Computer Science. The role will involve a core focus on AI research (machine learning, multi-agent systems, causal AI, optimisation

Research Fellow in Offshore Renewable Energy

data analysis and machine learning skills. The Research Fellow in Intelligent & Resilient Ocean Engineering – Geoscience will join a large community of scholars at Southampton working across the marine

Research Fellow in Deep Representation 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