Research Fellow, Mechanical Engineering
- Employer
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Closing date
- 3 May 2021
View more
- Academic Discipline
- Engineering & Technology, Mathematics & Statistics, Physical Sciences, Mechanical & Aerospace Engineering, Physics & Astronomy
- Job Type
- Academic Posts, Research Fellowships
- Contract Type
- Permanent
- Hours
- Full Time
Job Description
This project is to develop data-driven machine learning-based approximate models, which can replace the time consuming CFD simulations. The proposed work aims to provide proof of concept, methodology to develop machine learning models and its applicability in tasks such as flow flied prediction over variable geometries and geometrical optimization.
Qualifications
The proposed project extensively involves mathematical modelling, computer programming, and numerical simulation. It requires researchers to have strong background in mathematics and computational physics. The candidate must have a PhD degree and experiences in computational fluid dynamics and machine learning related area.
More Information
Location: Kent Ridge Campus
Organization: Engineering
Department: Mechanical Engineering
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert