EPRSC Manufacturing Hub PhD Studentships at Sheffield (Department of Automatic Control and Systems Engineering)

Deadline: 5pm GMT, 24 January 2018

Two studentships are available in Modelling and Optimisation / Data Analytics and Machine Learning for Advanced Manufacturing to start in September 2018. These are linked to two EPSRC supported grants in Manufacturing using Powder Processes and Advanced Metrology.

The Engineering and Physical Science Research Council (EPSRC) funded eight flagship Future Manufacturing Hubs, two of which are focused on Powder Manufacturing and Manufacturing Metrology. The Department of Automatic Control and Systems Engineering are part of both of these hubs and will support research through smart digital manufacturing methodologies in collaboration with the Sheffield Advanced Manufacturing Research Centre (AMRC) who host the Factory of the Future. The technologies and methods will become part of the critical infrastructure for a new generation of digital, high value manufacturing, the so called 4th industrial revolution, or Industry 4.0.

The aim of the PhDs is to develop fundamental methods that integrate measurement and data with design and production processes to improve control, quality and productivity for future manufacturing. The first research theme (Project A) is on modelling of manufacturing products and processes using large volume metrology data. Models will need to be developed and integrated with metrology data to characterise products and processes at spatial and temporal scales. The second theme (Project B) will be on the development of machine learning methods for modelling and optimisation of additive manufacturing and 3-D printing processes. Data driven modeling and machine learning methods will be developed for additive and other powder manufacturing processes to achieve required product characteristics.

Candidate Information

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 the following topics are particularly encouraged to apply: System identification, signal processing, machine learning, control and optimisation, manufacturing.

Funding Notes

The Studentships are fully funded for 3 years, which includes Home/EU fees as well as a tax-free stipend at the EPSRC rate (£14,553 stipend for 2017/8 (2018/9 details awaited).

Full funding is only available to UK and EU nationals; non-UK/EU nationals can apply but would only receive a partial contribution towards the tuition fees.

How to Apply

To apply please submit a PhD application using our online application system via the Apply link at the following: http://www.sheffield.ac.uk/postgraduate/research/apply/applying

If you wish to apply for Project A please state the project title as ‘Spatiotemporal Modelling’ and within the application, please state Professor Visakan Kadirkamanathan as your preferred supervisor. If you wish to apply for Project B, please state the project title as ‘Data Analytics and Machine Learning’ and within the application, please state Dr George Panoutsos as your preferred supervisor.

Please note that deferral to a later start date for these Studentships is not permitted.

Deadline for Applications: 24 January 2018

Informal Contact: Professor Visakan Kadirkamanathan (visakan@sheffield.ac.uk) / Dr George Panoutsos (g.panoutsos@sheffield.ac.uk)

More information for Manufacture using Advanced Powder Processes.