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

University of Liverpool; West Kirby; On-site; GBP 42,000 - 60,000; Full time

Job summary

The University of Liverpool invites applications for a Research Coordinator in the Cooper Group, focusing on artificial intelligence and machine learning for functional materials discovery. The post holder will lead teams developing AI methods and coordinate resources across chemistry, robotics, automation, and materials discovery, delivering high-impact publications and funding proposals.

Applicants should hold a PhD in a relevant field and possess expertise in AI/ML applied to scientific

Qualifications

• PhD plus expertise in AI/ML applied to scientific problems.
• Ability to lead a team of researchers and coordinate projects.
• Experience developing and applying advanced AI methods for scientific research.
• Ability to identify and develop new research opportunities and secure funding.

Responsibilities

• Oversee and coordinate AI/ML aspects of the research programme.
• Ensure integration with chemistry, robotics, automation and materials discovery.
• Develop and apply advanced AI methods for publications and funding applications.
• Coordinate access to national computing resources for research projects.
• Support recruitment, supervision and mentoring of PhD students and postdocs.

Skills

AI/ML for science

Leadership

Research coordination

Team supervision

Education

PhD in Chemistry/CS/Chemical Eng/Physics/Materials Sci

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.