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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.
Develop a novel knowledge-driven AI framework for accelerating CFDDEM simulation
Validate the proposed framework and apply 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.
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