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Physical & Environmental Sciences, Computer Sciences● OpenPostdocPreview

Postdoctoral Research Associate in AI-Guided Organic Chemistry

Advance the next generation of AI-guided organic chemistry as a Postdoctoral Research Associate at the University of Edinburgh.

Best for:Best for researchers with a PhD in chemistry or computer science and a strong interest in machine learning applications for chemical synthesis.

The University of Edinburgh · Edinburgh, United Kingdom · R2 · Recognised researcher
More professors at The University of Edinburgh
artificial intelligenceorganic chemistrychemical synthesismachine learning
This is a postdoc position — not a PhD studentship.
Deadline
Nov 12, 2026
27 days
Funding
Salaried
£41.1k–£48.8k/yr
Start date
flexible
Full-time
Location
Edinburgh
United Kingdom

Overview

The University of Edinburgh's School of Chemistry invites applications for a Postdoctoral Research Associate to join the King-Smith Group. Funded by The Royal Society and supervised by Dr Emma King-Smith, the research focuses on developing novel chemical syntheses to advance AI-guided organic chemistry. The successful candidate will drive research in chemical synthesis combined with machine learning methodologies. Applicants are expected to hold a relevant PhD and demonstrate a strong background and interest in applying machine learning to chemical synthesis.

postdoctoral research associateAI-guided chemistrysynthetic chemistrymachine learning in chemistryRoyal Society projectEdinburgh chemistry

What you'll do

  • Conduct innovative chemical synthesis research to develop AI-guided organic chemistry methodologies.
  • Integrate machine learning techniques with practical chemical synthesis workflows.
  • Collaborate with members of the King-Smith Group to achieve project milestones and deliverables.
  • Publish research findings in peer-reviewed scientific journals and present outcomes at conferences.
  • Maintain accurate research records and contribute to the general management and safety of the laboratory.

Requirements

Degree required: PhD in chemistry, computer science, or a related discipline (or have submitted a PhD thesis prior to taking up the appointment)

Language: English; excellent written and oral proficiency required

Instruction: English

Publications: A proven track record of successful research project completion and publication history as appropriate for the career stage

Required skills
  • Demonstrated expertise in chemical synthesis or computer science applied to molecular sciences
  • Deep interest and capability in applying machine learning to chemical synthesis
  • Proven track record of successfully completing academic research projects
  • Excellent written, oral, and interpersonal communication skills
Nice to have
Experience bridging experimental chemistry and computational modelingBackground in developing algorithms or software for chemical applications
Eligibility
  • Must hold a PhD or have submitted a PhD thesis prior to appointment commencement

Funding & terms

Type
Salaried
Amount
£41.1k–£48.8k/yr
Duration
—
Programme
The Royal Society
The Royal Society

How to apply

Deadline: 2026-11-12

Interested candidates should submit their application through the official external application portal before the specified deadline. Ensure all required documentation demonstrating academic qualifications and research background is included with your submission.

Documents required
  • CV
  • Cover letter
↗Apply via form

Contact

Emma King-Smith· Supervisor

https://www.kingsmithgroup.com/

EK
Prof.
Emma King-Smith
School of Chemistry
Lab
King-Smith Group
The University of Edinburgh
United Kingdom
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