Artificial Intelligence tools for developing sustainable chemistry solutions

open until filled
Natural Sciences, Artificial Intelligence, Chemistry
University of Cambridge
Cambridge, United Kingdom

A four-year PhD studentship is available to work on the AI tools for developing sustainable chemistry solutions. The project is envisaged as a collaboration with Cambridge Institute for Sustainability Leadership (, Dr Polina Yaseneva), which will provide the industry focus on the application of the developed tools in evaluation of sustainable bio-resource use for manufacture of chemicals. The area of research will be on AI-based decision support tools for evolution of dynamic interacting systems towards a specific set of objectives (sustainability objectives). The research will involve model development, understanding of the emerging chemical supply chain, actors involved and development of their dynamic models. The project student will be associated with SynTech CDT ( and will have access to all CDT training courses and events.

Successful applicants would have their first degree in (Bio) Chemical Engineering or Chemistry, with a strong background and interest in mathematics, machine learning, artificial intelligence. Prior experience in coding is not necessary but is an advantage. Standard admissions criteria apply. Full scholarship (fees+stipend) is only available to EU/UK eligible candidates; we are unable to consider overseas applications for this studentship.

The studentship is expected to start in October 2020.

To enquire about this PhD project, please contact Prof. Alexei Lapkin (

Please quote reference NQ23141 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Parnesh Sharma, M.Phil., University of Cambridge