3 machine learning 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

, machine learning, advanced finite element analysis; Desirable: computer modelling, solid mechanics, experience with Ansys or equivalent software, a final year project on a machine learning/biomechanics

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)

knowledge, accumulated on surfactants and colloids, will be applied for finding new compositions via machine learning (ML) algorithms where experimental results will be used as feedback to guide predictive