Postoctoral Appointee - Building Scientist in Lemont, IL

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Collaborates with a multidisciplinary team in the development of fundamental building science, building-to-grid integration, and urban science.  Innovates in the development and deployment of physics-based and data analytic tools and technologies for building systems, whole buildings, energy systems, and urban systems.  Communicates impactful research outcomes through internal reports, peer-reviewed publications, and conference presentations.
The candidate is expected to have a strong engineering background with demonstrated experience in building science and building energy modeling, especially in uncertainty quantification.

  • PhD in architecture, architectural engineering, or mechanical engineering. Research experience in building science and building energy modeling. 
  • Experience with building energy modeling using EnergyPlus and/or OpenStudio
  • Knowledge of conventional and emerging building modeling tools and techniques.
  • Knowledge of fundamental building sciences.
  • Experience with building energy modeling tools other than EnergyPlus/OpenStudio
  • Experience with uncertainty quantification of system models
  • Experience in working with multidisciplinary research teams.
  • Experience with modern scientific computing methods for large scale simulations on high performance computing infrastructure for building energy modeling and uncertainty quantification.
  • Experience in establishing research collaborations
  • Excellent oral and written communication skills.
  • Ability to think strategically and work independently.
  • Experience supervising research work
  • Experience with developing machine learning and data-analytic tools.
  • Knowledge of relevant DOE Office funding mechanisms and strategic outlook
  • A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. 

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