Research Co-ordinator in AI for Materials Discovery - Grade 8

University of Liverpool; Liverpool; On-site; GBP 48,000 - 61,000; Full time

Job summary

University of Liverpool is seeking a Research Coordinator to strengthen our AI and machine learning efforts in functional materials discovery. You will provide specialist advice, lead teams, and ensure integration with other research areas across the Cooper Group.

The role requires a PhD in a relevant field and demonstrated expertise in AI/ML for scientific problems, with responsibilities spanning project leadership, resource coordination, and dissemination of findings through publications and

Qualifications

• PhD in Chemistry, Computer Science, Chemical Engineering, Physics or Materials Science is essential.
• Expertise in AI/ML as applied to scientific problems and ability to lead a research team.
• Experience coordinating AI/ML activities across multiple projects and teams.

Responsibilities

• Oversee AI/ML aspects of the research programme and coordinate related activities.
• Develop and apply advanced AI methods for materials discovery and scientific research.
• Lead recruitment, supervision, and mentoring of PhD students and postdocs.
• Prepare high-quality publications and funding applications; manage computing resources.

Skills

AI/ML for research

Team leadership

Scientific computation

Research coordination

Education

PhD in Chemistry or related field

Tools

Python

TensorFlow

PyTorch

Job description

A Research Coordinator position is available in the group of Professor. Andrew Cooper at the University of Liverpool.

The Research Coordinator will bring their expertise to strengthen the relevant areas of our research programme, particularly by providing specialist advice and leadership in artificial intelligence and machine learning for functional materials discovery. This will include managing the teams working on the development and application of advanced AI methods for scientific research, including machine learning, large language models, machine reasoning, knowledge representation, and optimisation algorithms. A PhD in Chemistry, Computer Science, Chemical Engineering, Physics or Materials Science and expertise in AI and machine learning as applied to scientific problems are essential, together with the ability to lead a team of researchers working on projects in this area.

You will oversee and coordinate the AI and machine learning aspects of our research programme, while also ensuring integration with the other research areas in the Cooper Group (i.e., chemistry, robotics, automation and materials discovery). In addition, the post-holder will contribute directly to the research programme through the development and application of advanced AI methods, help identify and develop new research opportunities, coordinate access to national computing resources, and support the preparation of high-quality research publications and funding applications.

Beyond the research, you will take responsibility for supporting the preparation of research publications, reports and grant applications, while contributing to the recruitment, supervision and mentoring of PhD students and postdoctoral researchers. You will also help manage the computational resources and software infrastructure associated with this research area, ensuring that projects are delivered to the highest standards and that research findings are disseminated effectively and in a timely manner.

Our commitment to Equality, Diversity and Inclusion

We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.

£48,337 to £61,165 per annum