Research Fellow (Digital Twin of Data Center: 697610

Q: What are the key qualifications for the Research Fellow Digital Twin Data Center role?

Applicants need a PhD in mechanical engineering, control engineering, energy systems or related field. Strong expertise in thermal-fluid systems, data center cooling, digital twins and intelligent control is essential, along with proficiency in Python/MATLAB and numerical simulation. Preferred skills include model predictive control or reinforcement learning . Explore similar postdoc opportunities .

Q: What research areas does the Research Fellow Digital Twin Data Center position focus on?

The role centers on developing digital twin methods for energy-efficient data center thermal management . Key areas include modeling cooling systems, advanced control strategies, optimization under dynamic workloads, and improving thermal reliability. Browse more research jobs .

Q: How do I apply for the Research Fellow position at Kent Ridge Campus?

Submit applications before the 2026-08-07 deadline via the official NUS portal. Prepare a strong CV highlighting publications and relevant experience in digital twins or data center cooling. Learn how to write a winning academic CV .

Q: Is this Research Fellow role full-time and what is the employment type?

Yes, this is a full-time Academic / Faculty position focused on research at NUS Kent Ridge Campus. It is ideal for candidates seeking postdoc or research fellow experience in engineering. View faculty and research fellow roles .

Q: What skills in intelligent control are preferred for the Digital Twin Data Center position?

Preferred skills include model predictive control (MPC) and reinforcement learning for optimizing cooling systems under dynamic conditions. Experience with data-driven modeling and optimization techniques is highly desirable. Find related research assistant jobs .

Applicants need a PhD in mechanical engineering, control engineering, energy systems or related field. Strong expertise in thermal-fluid systems, data center cooling, digital twins and intelligent control is essential, along with proficiency in Python/MATLAB and numerical simulation. Preferred skills include model predictive control or reinforcement learning. Explore similar postdoc opportunities.

The role centers on developing digital twin methods for energy-efficient data center thermal management. Key areas include modeling cooling systems, advanced control strategies, optimization under dynamic workloads, and improving thermal reliability. Browse more research jobs.

Submit applications before the 2026-08-07 deadline via the official NUS portal. Prepare a strong CV highlighting publications and relevant experience in digital twins or data center cooling. Learn how to write a winning academic CV.

Yes, this is a full-time Academic / Faculty position focused on research at NUS Kent Ridge Campus. It is ideal for candidates seeking postdoc or research fellow experience in engineering. View faculty and research fellow roles.

Preferred skills include model predictive control (MPC) and reinforcement learning for optimizing cooling systems under dynamic conditions. Experience with data-driven modeling and optimization techniques is highly desirable. Find related research assistant jobs.

Research Fellow (Digital Twin of Data Center)

National University of Singapore (NUS)

Kent Ridge Campus