AI-Driven CFD/DEM Research Engineer (Granular Systems)

National University of Singapore; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

National University of Singapore invites applications for a Research Engineer to develop a knowledge-driven AI framework for CFDDEM simulations, focusing on solid-fluid interactions and granular materials. This role requires collaboration with the Civil and Environmental Engineering and is offered on a fixed-term contract with emphasis on rigorous validation and interdisciplinary collaboration.

The ideal candidate will demonstrate proficiency in CFD DEM modelling (C++, Python AI algorithms),

Qualifications

• Possess at least a bachelor’s degree.
• Demonstrate relevant research or professional background aligned with the topic.
• Proficiency in coupled CFD DEM modelling (C++) and AI-related algorithms (Python).
• Excellent teamwork and communication skills.

Responsibilities

• Develop a novel knowledge-driven AI framework for implementing CFDDEM simulation.
• Validate the proposed framework and apply it to granular materials engineering such as geotechnical and chemical engineering.

Skills

CFD/DEM modelling

C++

Python

Teamwork

Communication

Education

Bachelor's degree

Job description

National University of Singapore invites applications for a Research Engineer to develop a knowledge-driven AI framework for CFDDEM simulations, focusing on solid-fluid interactions and granular materials. This role requires collaboration with the Civil and Environmental Engineering and is offered on a fixed-term contract with emphasis on rigorous validation and interdisciplinary collaboration.

The ideal candidate will demonstrate proficiency in CFD DEM modelling (C++, Python AI algorithms),