3-5 years of experience
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Employment Type:
Full time
Job Category:
Postdoctoral Researcher – Dynamic Modeling of Building Occupancy and Energy-Consuming Devices
(This job is no longer available)
Grad Date

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Job Description

The Residential Buildings Research Group is seeking a Postdoctoral Researcher with experience in high-fidelity and stochastic modeling of building occupancy and energy systems at the building end-use and individual device-levels. The ideal candidate will leverage their scientific mindset and a creative “get it done” mentality to address important problems related to the modeling of building occupant behavior and decision making, dynamic energy performance of building devices and systems, and approaches for shaping building loads at sub-hourly timescales.

Job duties and responsibilities may include:

  • Analyze and characterize building occupancy and operations, including complex interdependencies and correlations between system and end-use behaviors
  • Analyze and characterize the load variability of building devices and end-uses at less than hourly time resolutions; characterize the impact of high-performance building systems and equipment on building device and end-use load profiles
  • Develop mathematical and statistical models for building occupant movement and decision making
  • Develop algorithms for generating realistic hourly and sub-hourly (sub-seconds to minutes) device and end-use load profiles for buildings based on:
    • post-processing of energy model output data
    • pre-processing building energy model input data or parameters, and
    • altering or developing new statistical and physics-based modeling methods and numerical algorithms for the OpenStudio and EnergyPlus building energy modeling platform
  • Identify statistical and/or other analytical metrics for quantifying the accuracy and realism of a building device and end use modeling
  • Model the potential of passive and active strategies for shaping sub-hourly loads
  • Characterize device usage correlations for single and clusters of end uses, at scales of single person, a group/family, and/or a full building, at grid- and human-relevant time scales. Writing publications for peer-reviewed science journals.
  • Writing papers for peer-reviewed science journals.


  • Excellent communication skills are required.
  • Strong background in applied mathematics, statistics, mechanical/power systems, or related fields is required.
  • Demonstrated excellence in programming, in languages such as Python, R, SQL, Matlab, C++ or similar, is required.
  • Proven track record of high-quality publications in peer-reviewed journals and conferences is required.
  • Experience in agent-based models, Markov chains, and/or machine learning is a major plus.
  • Working knowledge of data visualization tools and version control software is a major plus.
  • Demonstrated experience with building energy simulation tools such as EnergyPlus, or distribution feeder simulation tools such as OpenDSS, SynerGEE or GridLAB-D, is a plus.


Required Education, Experience, and Skills

Must be a recent PhD graduate within the last three years.


Preferred Qualifications


Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.


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About National Renewable Energy Laboratory

At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.