POSTDOCTORAL ASSOCIATE, BUILDING THERMAL CONTROL, Architecture-Building Technology Program, to support efforts to reduce building energy consumption and greenhouse gas emissions on the MIT campus while maintaining occupants’ comfort through the use of machine learning-based algorithms to dynamically adjust building temperature setpoints and equipment operating schedules. Will collaborate with several entities on campus, including the Department of Facilities, the Office of Sustainability, and the Laboratory for Information and Decision Systems. Will develop, test, and improve models and control algorithms for a wide range of room and building types and HVAC systems. Of particular interest are melding physics-based and ML algorithms, identifying surrogates for hard-to-measure parameters, accurately estimating energy savings and mapping those savings to reductions in carbon emissions associated with operation of MIT’s tri-generation central utility plant, and rapid scaling across rooms and buildings with similar characteristics.
A full job description is available at https://architecture.mit.edu/jobs.

Job Requirements
REQUIRED: Ph.D. in a relevant engineering or scientific discipline; experience performing academic research; solid skills in developing and testing data-driven models of physical systems and in Python; ability to effectively communicate research results in the form of juried research journal articles and oral presentations; and ability to work in team settings. PREFFERED: expertise with building energy modeling and building technology systems; knowledge of the control of dynamic systems and optimization methods; experience with system identification and machine learning techniques; and experience programming in Python and with deep learning frameworks (TensorFlow, PyTorch, Torch, Caffe, etc.). Job #23898