5 Statistics Fellowship positions at The University of Southampton

Research Fellow – Age Verification/Biometrics (KTP Associate)

programming skills in Python or C++ knowledge of biometric technologies, computer imaging and statistical analysis methodologies proven time management skills and the ability to work independently and

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 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 in Human Response to Vibration

skills in MATLAB or Python for noise and vibration analysis and be comfortable working with statistical methods to quantify characteristics of data sets. In addition to undertaking original, state

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