Research Fellow in Digital Flow Chemistry

Key Skills

Effective communication skills, Machine learning techniques

Job Description

Are you an experienced and ambitious researcher looking for your next challenge? Do you want to further your career in one of the UK’s leading research-intensive Universities? Are you looking to apply your skills in flow chemistry to the development and automated optimisation of new multistep syntheses?

We are seeking a Research Fellow in Digital Flow Chemistry to develop automated reactor platforms for screening and optimising multistep reactions and apply these to synthetic case studies based on chemoenzymatic cascades.

The overarching project aims to develop an Industry 4.0 approach to integrated catalysis for sustainable synthesis. You will develop automated multistep reactor platforms using liquid handling robotics and continuous flow technology, to enable the combination of different types of catalysis into telescoped reaction sequences. This will require integration of machine learning algorithms and dynamic profiling techniques for reaction optimisation and mapping of the design space. You will work alongside other members of the group to apply these techniques on new catalytic cascades and pharmaceutical case studies.

The position will be based at the Institute of Process Research and Development at Leeds. You will interact with project partners in the pharmaceutical sector to design industrially relevant self-optimising technology and develop high impact case studies. 

To explore the post further or for any queries you may have, please contact:

Dr Adam Clayton, Lecturer in Sustainable and Digital Chemistry

Email: A.D.Clayton@leeds.ac.uk

Location: Leeds - Main Campus

Faculty/Service: Faculty of Engineering & Physical Sciences

School/Institute: School of Chemical & Process Engineering

Category: Research

Contract Type: Fixed Term (3 years - to complete specific time limited work)

Downloads: Candidate Brief