Description

Overview: 

We are seeking a R&D associated staff member who will focus on machine learning based data driven modeling, high fidelity building energy modeling, whole-building fault detection and diagnostics, and grid interactive advanced control.  This position resides in the Grid Interactive Controls Group in the Electrification and Energy Infrastructure Division within the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). 

As part of our research team, you will be responsible for conducting, coordinating, and reporting complex research assignments related to buildings, specifically: 1) data driven and physics based whole building modeling and validation, 2) grid interactive efficient building controls, and 3) whole building fault detection and diagnostics. Your work will be interacting and collaborating with researchers from universities, national laboratories, and private industry. You will have the opportunity to interface directly with program sponsors and lead proposal development teams.

Major Duties/Responsibilities: 

• Developing and validating data driven and high fidelity whole building energy modeling
• Developing and deploying grid-interactive efficient building controls
• Sensor impact evaluation and verification for advanced controls and AFDD

Basic Qualifications:

• A Ph.D. degree in Architecture, Architectural engineering, mechanical engineering, or related discipline.
• Deep understanding and skills for machine learning based model development and application.
• 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

Preferred Qualifications:

• Expertise in modern optimal control techniques (e.g., model predictive control, reinforced learning)
• Expertise in Experience coding (Python) for building energy modeling and controls
• Expertise in machine learning and big data analysis
• Experience in proposal writing
• 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.

Some travel will be required for this position.

No clearance is required.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate isidentified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MBin size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidatessubmitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities andprotected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.