Postdoctoral Research Associate - Integrated Building Deployment and Analysis Group

Requisition Id 15663 

Overview: 

We are seeking a Post Doctoral Research Associate who will focus on high fidelity building energy modeling and advanced control.  This position resides in the Integrated Building Deployment and Analysis Group in the BTSD, ESTD at Oak Ridge National Laboratory (ORNL).  

 

The IBDA group leads the development of innovative methods for residential and commercial whole-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient, demand-flexible, and affordable buildings for the DOE Building Technologies Office (BTO), the Federal Energy Management Program (FEMP), and Office of State and Community Energy Program (SCEP).

 

Major Duties/Responsibilities: 

• Developing and validating high fidelity whole building energy modeling

• Performing experiments in a test facility and experimental data analysis
• Developing and deploying AI based advanced control and automated fault detection and diagnosis (AFDD) algorithms to buildings
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A Ph.D degree in mechanical engineering, architecture, architectural engineering, or related field completed within the last five years.
• Experience in building energy modeling and analysis.
• Deep understanding of building thermal physics, HVAC systems, and building sensors and controls
• Expertise in whole building energy forward modeling (e.g., EPlus, OpenStudio, DOE-2), calibration and validation with empirical datasets
• Experience in coding (Python) for building energy modeling and controls

 

Preferred Qualifications:

• Expertise in modern optimal control techniques (e.g., AI based controls)
• High level of competence in coding and scripting
• Expertise in machine learning and big data analysis
• Excellent written and oral communication skills
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

 

Special Requirements:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

 

Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

 

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section, select Add a Document

 

Security, Credentialing, and Eligibility Requirements:

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.  Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

 

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation.  Thi