Job Information
Massachusetts Institute of Technology Postdoctoral Associate, Building Thermal Control in Cambridge, Massachusetts
Postdoctoral Associate, Building Thermal Control
Job Number: 23898
Functional Area: Research - Other
Department: Architecture
School Area: Architecture & Planning
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: Yes
Schedule:
Email a Friend Save Save Apply Now
Job Description
POSTDOCTORAL ASSOCIATE, BUILDING THERMAL CONTROL, Architecture-Building Technology Program (https://architecture.mit.edu/building-technology) , 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 (http://web.mit.edu/facilities/) , the Office of Sustainability (https://sustainability.mit.edu/) , and the Laboratory for Information and Decision Systems (https://lids.mit.edu/) . 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 #238984/3/24