Research Fellow, Mechanics And Physics
Singapore, Singapore
Job Description
The candidate will perform data-driven modelling of complex fluid motion, including single and multi-phase flow, Newtonian and non-Newtonian flows, as well as isothermal and non-isothermal flows.
Qualifications * Substantial experience in Computational Fluid Dynamics and high-performance computing.
- Strong programming and analytical skills are required.
- Capable of developing deep learning techniques to model and control complex fluid flows.
- Good publication record in peer-reviewed journals for fluid mechanics.
- A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 20033
Times Higher Education
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Job Detail
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Job IdJD1370779
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned