What are the responsibilities and job description for the Postdoctoral Research Associate in Catalysis and Machine Learning position at The University of Manchester?
Two Postdoctoral Research Associate positions are available for outstanding and ambitious researchers to join Prof. Igor Larrosa’s 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 :
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 ()
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.
Applications should include a supporting statement and a CV, as part of the application. Forms and further particulars are available from our website
If you are unable to go online you can request a hard copy of the details from The Directorate of Human Resources, Faculty of Science and Engineering, Tel : 44 (0) 161 275 8837, Email :
The School of Chemistry is strongly committed to promoting equality and diversity, including the Athena SWAN Charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff to achieve a good work-life balance. We particularly welcome applications from women for this post. Appointment will always be made on merit.
