Two Postdoctoral Research Associate positions are available for outstanding and ambitious researchers to join Prof. Igor Larrosaās team at the University of Manchester, working on Machine Learning, Catalysis and Organic Chemistry for a period of up to 36 months.
The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for the analysis of kinetics and their application to the mechanistic understanding of catalytic processes, with a focus on homogeneous catalytic processes of interest in organic chemistry. This collaborative project with the Bures group (ICIQ) will build on proof-of-principle work recently published in Nature 2023, 613, 689.
Find out more about the Larrosa and Bures groups at:
https://personalpages.manchester.ac.uk/staff/igor.larrosa/home.html
https://jordibures.wixsite.com/buresgroup
The successful candidates will have a PhD in chemistry, catalysis, physics or chemical engineering with a proven track record in catalysis, organic, computational chemistry and/or machine learning with experience in computer programming (preferentially python). The positions are full time and available for up to three years, in the first instance. Informal enquiries can be made to Prof. Igor Larrosa (igor.larrosa@manchester.ac.uk)
Application deadline: 19/02/2025
The post will be based in the Chemistry Building at the Department of Chemistry, University of Manchester, and is available from 1st May 2025 or as soon as possible thereafter.
For more information and to apply visit https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=31382