Research Fellow (Digital Twin of Data Center)
Summary
Research role building a digital twin to optimize data-center cooling systems using thermal modeling, control algorithms, and Python/MATLAB simulations.
Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Digital-Twin-of-Data-Center%29/33224-en_GB/
We regret that only shortlisted candidates will be notified.
Job Description
This project aims to develop intelligent control and digital-twin methods for energy-efficient data center thermal management. The work will involve modeling and simulation of data center cooling systems, together with the development of advanced control strategies. The candidate will use operational data, computational modeling, and optimization techniques to improve cooling energy efficiency, thermal reliability, and control robustness under dynamic IT workloads and environmental conditions.
Qualifications
• PhD degree in mechanical engineering, control engineering, energy systems, or a related field.
• Strong background in thermal-fluid systems, data center cooling, digital twins, and intelligent control.
• Experience in Python/MATLAB, numerical simulation, and data-driven modeling.
• Experience in model predictive control or reinforcement learning is preferred.
• Good publication record in energy-efficient cooling or AI-assisted energy systems is desirable.