EPSRC Centre for Doctoral Training in Digital and Automated Materials Chemistry

We will train a cohort of students at the interface between the physical and computer sciences to drive the critically needed implementation of digital and automated methods in chemistry and materials. Through such training, each student will develop a common language across the areas of automation, AI, synthesis, characterization and modelling, preparing them to become both leader and team player in this evolving and multifaceted research landscape.

The lack of skilled individuals is one of the main obstacles to unlocking the potential of digital materials research. This is demonstrated by the enthusiastic response toward this proposal from our industrial partners, who span sectors and sizes: already 35 are involved and we have already received cash support corresponding to over 27 full studentships. This proposal will deliver the EPRSC strategic priority "Physical and Mathematical Sciences Powerhouse" by training in "discovery research in areas of potential high reward, connecting with industry and other partners to accelerate translation in areas such as catalysis, digital chemistry and materials discovery."

The CDT training programme is based on a unique physical and intellectual infrastructure at the University of Liverpool. The Materials Innovation Factory (MIF) was established to deliver the vision of digital materials research in partnership with industry: it now co-locates over 100 industrial scientists from more than 15 companies with over 200 academic researchers. Since 2017, academics and industrial researchers from physical sciences, engineering and computer sciences have co-developed the intellectual environment, infrastructure and expertise to train scientists across these areas.

To date, more than 40 PhD projects have been co-designed with and sponsored by our core industrial partners in the areas of organic, inorganic, hybrid, composite and formulated materials. Through this process, we have developed bespoke training in data science, AI, robotics, leadership, and computational methods. Now, this activity must be grown scalably and sustainably to match the rapidly increasing demand from our core partners and beyond. This CDT proposal, developed from our previous experience, allows us to significantly extend into new sectors and to a much larger number of partners, including late adopters of digital technologies. In particular, we can now reach SMEs, which currently have limited options to explore digitalization pathways without substantial initial investment.

A distinctive and exciting training environment will be built exploiting the diverse background of the students. Peer learning and group activities within a cross-disciplinary team will accelerate the development of a common language. The ability to use a combination of skills from different individuals with distinct domain expertise to solve complex problems will build the teams capable of driving the necessary change in industry and academia. The professional training will reflect the diversity of career opportunities available to this cohort in industry, academia and non-commercial research organizations. Each component will be bespoke for scientists in the domain of materials research (Entrepreneurship, Chemical Supply Chain, Science Policy, Regulatory Framework). External partners of training will bring different and novel perspectives (corporate, SMEs, start-ups, international academics but also charities, local authorities, consultancy firms). Cohort activities span the entire duration of the training, without formal division between "training" and "research" periods, exploiting the physical infrastructure of MIF and its open access area to foster a strong and vital sense of community.

We will embed EDI principles in all aspects of the CDT (e.g. recruitment, student well-being, composition of management, supervisory and advisory teams) to make it a pervasive component of the student experience and professional training.