We are seeking a Postdoctoral Research Fellow to support a US Dept. of Energy project on occupant-centric control of grid-interactive efficient buildings. This project looks to accelerate the design of smarter occupant-centric building control algorithms that learn user behavior, are easy to use, and can correctly predict HVAC performance and power draw. The project takes a novel approach to cost-effectively produce and share a large dataset on characterizing grid-interactive efficient buildings and occupant behavior. Laboratory thermal-chamber experiments of heat-pumps will be synchronized with full building-simulators to test the devices' performance in different homes and weather conditions. Data collected from volunteers in homes under simulated grid conditions will help build the occupant thermal comfort behavior models used in the building simulations and model-based controls.
The Fellow will assist the co-PIs in leading this highly interdisciplinary project. As part of this project, the Fellow's creativity and professionalism will generate new knowledge through focused as well interdisciplinary research and shape the academic, commercial, and broader impacts of the core project concepts. The Fellow will be mentored by leading researchers in academia, national labs, and innovative companies providing a strong foundation for their career in academia or industry. The fellow is expected to play a leading role in the project, especially relating to interdisciplinary challenges as well as maintaining and growing a professional rapport with DOE program officers, corporate and national lab partners, and field test participants. The Fellow will help the team develop innovative interdisciplinary methods for controls at the mind, machine, and motor nexus, and help define innovative experimental methods to meet technical requirements and deadlines. Additional responsibilities include mentoring the project's diverse group of graduate research assistants; help author reports, papers, and journal articles; and disseminate research results through publications, open source software, and open data.
A recent PhD degree in civil, architectural, mechanical, electrical engineering, computer science, or a similar discipline, or a PhD in a social science with at least a master's degree in one of the preceding engineering fields;
Excellent oral and written communication skills
Experience in building energy modeling, namely with EnergyPlus
Fluent in industry standard software development practices
Demonstrated ability to translate research to impact in both academic and professional contexts.
Experience on projects that required human-subjects research ethics approval.
Industry work experience
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.