3 machine-learning-phd scholarships at University of Sheffield

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

Fully Funded 3.5 year PhD Studentship - Modelling and Control of Turbulent Flows

. The problem will be tackled using advanced mathematical tools combined with state-of-the-art numerical simulations and modern data-driven/machine-learning techniques. Different relaminarisation (i.e

Closed-loop Optimisation of Home and Personal Care Formulations (iCASE Studentship with Unilever)

generated will be interrogated through machine learning techniques and closed-loop feedback (in collaboration with ML-focussed PhD students) to optimise multi-component systems against a range of metrics