6 machine-learning Fellowship positions at UNIVERSITY OF SOUTHAMPTON

Research Fellow - Efficient Machine Learning Systems

-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a

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, 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

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