Postdoctoral Research Associate in Catalysis and Machine Learning

The University of Manchester; Manchester; On-site; GBP 30,000 - 43,000; Full time

Job summary

The University of Manchester is seeking two Postdoctoral Research Associates to join a dynamic research team focused on catalysis and machine learning for approximately three years. This role will explore innovative analytical tools and mechanisms within organic chemistry, making substantial contributions to the field.

Benefits

Market leading Pension scheme

Excellent employee health and wellbeing services

Exceptional starting annual leave entitlement

Additional paid closure over Christmas

Local and national discounts at major retailers

Qualifications

• Proven track record in catalysis, organic chemistry, and machine learning required.
• Experience in computer programming, preferably in Python.
• PhD qualification mandatory, with relevant research background.

Responsibilities

• Develop new tools for the analysis of kinetics using machine learning.
• Explore mechanisms of homogeneous catalytic processes.
• Collaborate with researchers from the Bures group.

Skills

Machine Learning

Catalysis

Organic Chemistry

Computer Programming

Education

PhD in Chemistry, Catalysis, Physics or Chemical Engineering

Tools

Python

Job description

Postdoctoral Research Associate in Catalysis and Machine Learning

Join to apply for the Postdoctoral Research Associate in Catalysis and Machine Learning role at The University of Manchester

Postdoctoral Research Associate in Catalysis and Machine Learning

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Join to apply for the Postdoctoral Research Associate in Catalysis and Machine Learning role 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:

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 ([e-mail])

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 www.manchester.ac.uk/jobs

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: [phone], 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. For further information, please visit http://www.chemistry.manchester.ac.uk/about-us/athena-swan/

We positively welcome applications from women, who are currently under-represented at this grade. Appointment will be made on merit.

The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers
  
  
  

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to [e-mail].

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Igor Larrosa

Email: [e-mail]

General enquiries:

Email: [e-mail]

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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