Job Description

We are hiring a Research Engineer (RE) to develop a novel knowledge-driven AI method for accelerating current computational fluid dynamics (CFD) and discrete element modelling (DEM) coupling methods. 

The selected RE is required to:
•    Develop a novel knowledge-driven AI framework for accelerating CFDDEM simulation
•    Validate the proposed framework and applying it to granular materials related engineering such as geotechnical, coastal and chemical engineering.
•    Develop a knowledge-driven AI method for accelerating coupled multi-phase modelling.

Job Requirements

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

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Civil and Environmental Engineering

Employee Referral Eligible: No

Job requisition ID : 30567