15129 - Postdoctoral Research Associate

The University of Edinburgh; City of Edinburgh; On-site; GBP 42,000 - 50,000; Full time

Job summary

The University of Edinburgh invites applications for a Postdoctoral Research Associate in the King-Smith Group. The role focuses on delivering machine learning models to support the discovery of novel therapeutic candidates, under the EPSRC-funded project and supervision of Dr Emma King-Smith.

Applicants should hold a PhD in chemistry, computer science, or related discipline, show a strong ML research interest, and demonstrate a track record of completing research projects and excellent

Qualifications

• PhD in chemistry, computer science, or related discipline (or have submitted a PhD thesis prior to taking up the appointment).
• Deep interest in developing new machine learning methods and applying them to chemical sciences.
• Proven track record of successfully completing research projects.
• Excellent written, oral and interpersonal communication skills are essential.

Responsibilities

• Deliver new machine learning models for the delivery of novel therapeutic candidates.
• Work under the supervision of Dr Emma King-Smith on EPSRC-funded projects.

Skills

ML methods

Communication skills

Education

PhD in chemistry or CS

Job description

Grade: UE07 and salary scale: £41,885-£49,798

School of Chemistry / College of Science and Engineering

Full Time (35 hours per week), however we are open to considering part-time or flexible working patterns.

Fixed term (18 months)

The Opportunity:

Postdoctoral Research Associate (King-Smith Group)

Applications are invited for a Postdoctoral Research Associate position to work under the supervision of Dr Emma King-Smith on a project funded by the EPSRC.

The successful candidate will work on projects to deliver new machine learning models for the delivery of novel therapeutic candidates. You can find out more about the King-Smith Group at the King-Smith Group Website.

Applicants should have:

• A PhD in chemistry, computer science, or related discipline (or have submitted a PhD thesis prior to taking up the appointment).
• Possess a deep interest in the development of new machine learning methods and their application to the chemical sciences.
• A proven track record of successfully completing research projects.
• Excellent written, oral and interpersonal communication skills are essential.