EPSRC Centre for Doctoral Training Developing National Capability for Materials 4.0 with the Henry Royce Institute

Started

Not Energy Related
Other Cross-Cutting Technologies or Research(Other Supporting Data)

Training

PHYSICAL SCIENCES AND MATHEMATICS (Metallurgy and Materials)
PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)

Not Cross-cutting

Professor W Parnell
Mathematics
University of Manchester

Standard

EPSRC

01 April 2024

30 September 2032

102 months

£9,504,770

Aerospace; Defence and Marine

North West

EPSRC Training Grants

Professor W Parnell, Mathematics, University of Manchester

Dr RA Bourne, Chemical and Process Engineerin, University of Leeds
Dr K Christofidou, Engineering Materials, University of Sheffield
Dr E Liotti, Materials, University of Oxford
Dr R Oliver, Materials Science & Metallurgy, University of Cambridge
Dr A Pollard, Analytical Science Division, National Physical Laboratory (NPL)
Dr C P Race, Materials, University of Manchester
Dr A Walsh, Chemistry, University of Bath
Dr BP Wynne, Engineering Materials, University of Sheffield

The job of materials science is to develop the materials that we need to make all of the things that we rely on in our daily lives. These range from the materials used to make large scale objects, such as aeroplanes and buildings, right down to the smallest scales like the processors in the electronic devices we use every day. These materials are often complicated and need to be carefully designed with just the right properties needed to do their jobs for many decades and often in incredibly harsh conditions.There are many current challenges that require us to develop new, improved materials. We need to meet our net-zero climate goals and get better at designing products that can be fully recycled, for example. And there are some resources that we currently use in important materials for which we would like to find alternatives. These are difficult challenges and we need to overcome them quickly. But the way that materials scientists have worked to develop a new material in the past is too slow: it can take up to 20 years to develop a new material and we cannot wait that long.Fortunately, recent developments in the computer simulation of materials, in robotics and sensor technology, in our ability to exploit large volumes of data through machine learning and in techniques for quickly making and testing large numbers of different materials can help to speed things up. This idea, bringing digital technologies together to help us make better materials more quickly, is called "Materials 4.0".If we are going to take advantage of Materials 4.0 then we need to make sure that materials scientists have the necessary digital skills. These skills, things like data informatics, machine learning and advanced computer simulation, are not usually covered in depth in undergraduate university courses in science and engineering. So, the Henry Royce Institute, the UK's national institute for advanced materials, in partnership with the National Physical Laboratory, is proposing to set up a Centre for Doctoral Training (CDT) that will take at least 70 science and engineering graduates and train them in the techniques of Materials 4.0. These students will work towards PhDs and become leaders in the field of Materials 4.0. They will undertake research projects in universities across the UK (Cambridge, Oxford, Imperial College, Manchester, Sheffield, Leeds and Strathclyde), tackling a broad range of materials science challenges and developing new approaches in Materials 4.0.The need for these new approaches is widespread, throughout academia and in industry. In recognition of this, the training programme that we develop for the CDT will be made available more widely, in different forms, so that we can disseminate skills in Materials 4.0 to existing researchers in universities and industrial companies as quickly as possible. The training approach of the CDT will be to take our students from "Learners to Leaders" over the course of four years. Our students will be working across boundaries between materials science and computer / data science and between academia and industry. They will build new interfaces and help to develop a common language for communication. To strengthen our students' own learning and to disseminate their skills more widely, we will train our students as trainers so that the students are actively involved in designing and delivering training for fellow researchers and take the role of ambassadors for a cultural shift in materials science to modern ways of working.

17/04/24