"Research Fellow (Materials Discovery AI Techniques)"

Posting Start Date: 13/02/2026

The Institute for Functional Intelligent Materials is seeking to recruit a research fellow in materials discovery AI techniques. The key responsibilities will be to:

• Participate in a research programme investigating multi-fidelity computational chemistry methods and the appropriate interfacing and development of AI techniques to these
• Assist with publishing original work
• Participate in student supervision at the undergraduate and postgraduate levels
• Develop a research profile through conferences and seminar
• Enhance relationships with collaborators both local and international

Job Requirements

An ideal candidate will be able to show:

• A PhD in quantum chemistry or similar field
• An ability to supervise students and the undergraduate and postgraduate levels
• Experience supervising and coordinating team activities
• Research with experience developing and utilizing computational methods
• A proven record of research excellence
• Demonstrated evidence of independent research ability
• Experience in record keeping, preparation of research papers, and presentation of seminars
• Excellent written and oral communication skills, with experience interacting with a variety of researchers and stakeholders

More Information

Location: Kent Ridge Campus
Organization: Institute for Functional Intelligent Materials
Department: Research Groups
Job requisition ID: 31796

Apply now