Lecturer in Digital Chemistry

Department

We seek to appoint a lecturer (Research and Teaching) in Digital Chemistry. Digital approaches are revolutionising the way in which chemistry is undertaken, whether in the laboratory, field or theoretically. Given the growing scientific importance of machine learning, big data, and artificial intelligence, we seek to appoint a lecturer to grow our activities in this field. We are searching for an individual who has a background in chemistry, but also has cutting-edge research expertise in digital approaches applied to chemical research problems. Areas could include the application of machine learning or artificial intelligence in chemical synthesis, molecular design and materials chemistry or big data approaches to analytical chemistry, or environmental problems etc. We seek excellent communicators who have the potential to develop collaborations across the chemical sciences.

The Department of Chemistry is one of the largest and most successful departments at York, renowned internationally for our research.  We strive to conduct research at the cutting edge of the chemical sciences and therefore seek to appoint an individual with a proven research interest in applying machine learning / big data methods to chemical problems. We are open to applications in any area of chemistry and expect the individual to make strong research connections with other departmental research groups.

As a department, we strive to provide a working environment that allows all staff and students to contribute fully, to flourish, and to excel. We are proud of our Athena SWAN Gold Award.

We particularly welcome and encourage applications from female candidates, and candidates from minority ethnic backgrounds, who are under-represented within the Chemistry academic staff group.

Role

We welcome interest from talented academics with an impressive research profile and a collegiate approach to their work. They should have a strong background in chemistry but be advancing machine learning, big data, artificial intelligence methods in their research.

Main activities include:

• Developing research objectives, projects and funding proposals and managing individual or collaborative projects applying machine learning / big data approaches to any area of chemistry, leading to the production of original outputs.
• Reaching out to collaborators, attending conferences and engaging in knowledge exchange.
• Designing, developing and delivering innovative teaching and assessment activities across a wide range of chemistry modules both core and optional; taking responsibility for the quality of provision, providing feedback and critically reviewing activities.
• Undertaking academic supervision of students and acting as a research supervisor.
• Undertaking a range of departmental administrative and managerial responsibilities.

Skills, Experience & Qualifications needed

• PhD in Chemistry or closely related subject and appropriate academic teaching qualification or willingness to complete this.
• Specialist knowledge of applying machine learning / artificial intelligence / big data approaches to chemical problems.
• Ability to develop research objectives, projects and proposals and contribute to high-quality research, with evidence of dissemination.
• Commitment to and understanding of Equality and Diversity Issues.

Interview date: To be confirmed.

For informal enquiries: please contact Head of Department, Professor Caroline Dessent (chem-hod@york.ac.uk).

The University is committed to promoting a diverse and inclusive community – a place where we can all be ourselves and succeed on merit. We offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. #EqualityatYork.

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