Research Engineer (AI Empowered Reasoning of Granular System)

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: 27/07/2026

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.

Req ID: 32291