Job Description

Job Title:  Research Engineer (AI Empowered Reasoning of Granular System)
University-Level Unit:  College of Design and Engineering
Faculty/Department-Level Unit:  Civil and Environmental Engineering
Employee Category:  Research Staff
Location_ONB:  Kent Ridge Campus
Posting Start Date:  30/03/2026

Job Description

 

We are hiring a Research Engineer (RE) to develop a novel knowledge-driven AI method for understanding the interaction between solid and fluid interaction. The selected RE is required to:

•    Developing a novel knowledge-driven AI framework for implementing CFDDEM simulation.
•    Validating the proposed framework and applying it to granular materials related engineering such as geotechnical, and chemical engineering.

Job Requirements


•    Possess at least a bachelor’s degree. 
•    Demonstrate relevant research or professional background, aligned with the development of the topic. 
•    Relevant experience in multiple areas is highly desirable.
•    Exhibit proficiency in coupled CFD DEM modelling (C++) and AI-related algorithms (python).
•    Display strong teamwork capabilities.
•    Excellent written and spoken communication skills.
•    Open to fixed-term contract.
•    Please note that only shortlisted candidates will be contacted.