Postdoctoral Research Fellow: Sustainable Buildings and Urban Development in the Era of Climate Change
Company:
Harvard University
Job Location:
Cambridge, 02138
Category:
Civil and Environmental Engineering
Type:
Full-Time
School: Harvard Graduate School of Design
Department/Area: Center for Green Buildings and Cities
Position Description
Harvard University is launching the Sustainable Buildings and Urban Future Cluster-a bold, interdisciplinary research initiative designed to address the climate crisis through transformative innovation in the built environment. This pioneering effort brings together Harvard scholars and practitioners across chemistry, materials science, fluid mechanics, AI, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management.The Cluster aims to modernize-and ultimately revolutionize-energy management by building on and scaling the HouseZero® concept-Harvard's prototype for ultra-efficient, naturally ventilated smart buildings-into interconnected communities. This unique initiative integrates three synergistic research thrusts:
- Advanced thermal storage and sensing materials
- Intelligent, building-scale integration of sensing and control systems
- Cooperative, urban-scale energy management
We are seeking multiple Postdoctoral Researchers to join this collaborative effort. These three-year positions, starting September 1, 2025, are hosted by the Harvard Center for Green Buildings and Cities and funded by the Salata Institute for Climate and Sustainability. While the project is scheduled to launch in September, hiring may occur earlier, and selected candidates may have the opportunity to begin their appointments ahead of the official start date. Each postdoctoral researcher will work with one or more principal investigators (PIs) aligned with their domain expertise, while contributing to a highly integrated, interdisciplinary research team.
Key research areas include:
- Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms
- Creation of Digital Twins for energy-efficient building and urban operation
- Exploration of novel Human-Building Interaction interfaces
- Design of cooperative energy-sharing systems across multiple buildings
- Integration of data-driven and physics-informed learning algorithms for scalable energy management and control
- Engagement with industry stakeholders to guide practical implementation and scale-up strategies
- Sustainable building systems or materials science
- Power system modeling, control systems, or HVAC alternatives
- IoT and sensor networks in the built environment
- AI or data-driven modeling and control for building and urban systems
- Human-centered or interaction design for smart systems
Leading faculty:
- Joanna Aizenberg, Amy Smith Berylson Professor of Materials Science
- Petros Koumoutsakos, Herbert S. Winokur Jr. Professor of Computing in Science and Engineering
- Na Li, Winokur Family Professor in Electrical Engineering and Applied Mathematics
- Le Xie, Gordon McKay Professor of Electrical Engineering
- Ali Malkawi, Professor of Architectural Technology
- Jarad Mason, Associate Professor of Chemistry & Chemical Biology
- Vijay Janapa Reddi, John L. Loeb Associate Professor in Electrical Engineering
Final hiring decisions will be contingent on availability of funding.
Join us in redefining how we live, build, and share energy in a changing world.
Basic Qualifications
The positions are intended for individuals who hold a Ph.D. or Doctorate Degree in a related area.Contact Information
Bob MarinoContact Email: rmarino@gsd.harvard.edu
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.Minimum Number of References Required: 3
Maximum Number of References Allowed: 3