Research Engineer (AI Empowered Reasoning of Granular System)

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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.