University:
National University of Singapore
Country:
Singapore
Deadline:
Not specified
Fields:
Engineering, Computer & Data Sciences, Architecture & Design, Natural & Physical Sciences, Business & ManagementAre you passionate about transforming theoretical research into real-world impact within the domain of building energy efficiency and smart controls? If you are seeking a postdoctoral opportunity that allows you to bridge the gap between advanced control algorithms and their deployment in operational environments, the National University of Singapore (NUS) College of Design & Engineering has an opening that could define the next stage of your career.
About The University Or Research Institute
The National University of Singapore (NUS) stands as one of Asia’s premier academic institutions, renowned for its rigorous research output, vibrant campus life, and strategic location in the heart of Singapore. As a global hub for innovation and education, NUS consistently ranks among the world’s top universities, offering a dynamic environment that fosters cross-disciplinary collaboration and practical application of research. The College of Design & Engineering at NUS is at the forefront of sustainable development, smart technologies, and urban innovation, providing scholars with access to state-of-the-art facilities and a diverse intellectual community.Singapore itself is celebrated for its commitment to sustainable urban development, world-class infrastructure, and multicultural society. Researchers in Singapore benefit from strong governmental support for innovation, excellent research funding, and a thriving ecosystem that connects academia, industry, and public policy. Living and working in Singapore offers not only a high quality of life but also unmatched opportunities to engage with cutting-edge projects that address global challenges.
Research Topic and Significance
The postdoctoral position is centered on the project “Cost-Effective Wireless Occupant-Centric Controls for Energy-Efficient Whole Building Retrofit.” This research addresses one of the most pressing challenges in today’s built environment: how to retrofit existing buildings to achieve significant energy savings without compromising occupant comfort. As buildings account for a substantial portion of global energy consumption, the development and deployment of intelligent control systems that adapt to real-time occupancy data are critical for advancing sustainability goals.
Also See
- Fully Funded PhD Opportunities in Bridge Monitoring and Infrastructure Resilience at…
- Germany – PhD in Business Analytics and Operations Research at University of Mannheim
- PhD Scholarship Opportunity in Optimal Dynamic Load Distribution Algorithms for Mobile…
- USA – PhD and Postdoc Positions in Control & Optimization at University of Tulsa
- PhD Research Fellow in Energy Technology Management at University of South-Eastern Norway
The project’s focus on occupant-centric controls leverages real-time data from camera-based occupancy detection and a comprehensive network of sensors. By integrating these data streams into advanced control algorithms, the project aims to optimize building energy use dynamically, thus reducing operational costs and environmental impact. The significance of this research extends beyond academic inquiry, offering scalable solutions that can be adopted by industry and government to meet ambitious energy targets.
Project Details
The successful candidate will join Dr. Adrian Chong’s lab at the NUS College of Design & Engineering. This is a highly applied research role, ideal for individuals who are eager to see their work implemented in real-world settings rather than confined to simulations.
Key Aspects Of The Project Include
– Development, deployment, and testing of advanced control strategies at the whole-building scale.– Utilization of a fully operational facility equipped with real-time camera-based occupancy data and a comprehensive sensor network.– Close collaboration with a multidisciplinary team focused on translating research findings into practical, scalable solutions for building retrofits.This position provides a unique platform for researchers to work at the intersection of theory and practice, directly contributing to the advancement of sustainable building technologies.
Candidate Profile
The Ideal Applicant Will Possess
– A strong understanding of building controls, with a demonstrated interest in the deployment and real-world application of control systems.– Experience with advanced control algorithms and their implementation in operational environments.– A background in engineering, computer science, architecture, building science, or related fields.– A proactive, hands-on mindset, with a desire to see research move beyond simulation into deployment and impact.– Excellent communication skills and the ability to work effectively within a multidisciplinary team.Applicants should be motivated by the opportunity to contribute to applied research that directly addresses energy efficiency challenges in the built environment.
Application Process
To apply, please email the following documents to adrian.chong[at]nus[dot]edu[dot]sg:– CV– Cover letter highlighting how your background and experience align with the project, specifically experience with advanced control algorithms and actual deployment– Contact information for three referees
Conclusion
This postdoctoral opportunity at NUS offers a rare chance to contribute to transformative research in building energy efficiency, with direct real-world application and societal impact. If you are ready to take your expertise beyond the lab and into operational facilities, we encourage you to apply and to explore similar opportunities that align with your academic and professional goals.Want to calculate your PhD admission chances? Try it here:https://phdfinder.com/phd_admission_chance_calculator/
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!
