Research Fellow (Artificial Intelligence for Retrosynthetic Planning)

Full Description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is available as early as March 1, 2025, to join our team and contribute to drug discovery and automated retrosynthetic planning.

We are seeking a highly motivated candidate with a strong research background in computational chemistry, particularly in AI/ML, molecular representation, retrosynthetic planning, and organic synthesis. The candidate should be capable of leading independent research while actively collaborating with other team members.

Qualifications:

• A PhD in Chemistry, Computer Science, Data Science, or a closely related field

• Extensive AI/ML experience and strong proficiency in computer programming and data analysis

• Knowledge in organic chemistry and retrosynthetic planning

• Excellent communication skills and a career-level-appropriate publication track record

• Ability to work both independently and collaboratively within a diverse research team

Salary: SGD 72,000/year; Medical and leave benefits will be provided based on NUS standards

Expected Start Date: Mar 1, 2025, or as soon as possible thereafter

Appointment: Term – (12 months) with high potential for renewal

How to Apply:

Please submit a single PDF file containing the following:

• A cover letter detailing your research interests and fit for the position

• Your full academic CV

• Contact information for three referees prepared to provide references

• Your three most relevant publications

Send your application to the NUS Career Portal, with the subject line: “Application for the Postdoctoral Fellowship in Artificial Intelligence for Retrosynthetic Planning”. Evaluation of candidates will begin immediately and continue until the position is filled.