Data Analytics and Machine Learning for Advanced Manufacturing - EPRSC Manufacturing Hub MAPP, PhD Studentship at Sheffield

A studentship is available in Data Analytics and Machine Learning for Advanced Manufacturing to start in September 2018. This is linked to an EPSRC supported grant in Manufacturing using Powder Processes, MAPP.

MAPP EPSRC Hub website: https://mapp.ac.uk

The Engineering and Physical Science Research Council (EPSRC) funded eight flagship Future Manufacturing Hubs, one of which is focused on Powder Manufacturing. The Department of Automatic Control and Systems Engineering is part of this hub and will support research through smart digital manufacturing methodologies. The technologies and methods will become part of the critical infrastructure for a new generation of digital, high value powder manufacturing, the so called 4th industrial revolution, or Industry 4.0.

The aim of this PhD is to develop machine learning methods for modelling and optimisation of additive manufacturing and 3-D printing processes. Data driven modelling and machine learning methods will be developed for additive and other powder manufacturing processes to achieve required product characteristics, focusing on autonomous data analytics, model-based process monitoring and multi-objective optimisation, as well as interpretable Artificial Intelligence methodologies for knowledge extraction from large data sets.

Prospective candidates should have a good honours degree (Class 1 or 2:1) in Control Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Mathematics, Physics or other related disciplines. Candidates with a background in one or more of the following topics are particularly encouraged to apply: Computational Intelligence, Soft Computing, Signal Processing, Machine Learning, data-driven modelling & optimisation, and manufacturing.