"Electrical Engineering and Computer Science - Research Assistant/Associate/Full Professor"

The University of Tennessee-Oak Ridge Innovation Institute (UT-ORII) is seeking highly qualified research faculty candidates at any rank in the areas of computer engineering and computer science. The successful candidate will contribute to an interdisciplinary collaboration focused on building construction to improve affordability, productivity, energy efficiency, and resilience. The candidate will be part of the UT-Oak Ridge Innovation Institute’s Advanced Manufacturing for Affordable Building Construction Convergent Research Initiative (Buildings CRI). Potential research interests include, but are not limited to:

• Research on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection.
• Research on 3D reconstruction methods to generate as-built building models for the detection of dimensional deviations, installation errors, or design compliance issues.
• Research into using robotics for automated, repeatable, and efficient inspection of buildings, including navigation, sensing, multi-robot coordination, data acquisition, and inspection-report automation.
• Research on decision-support systems that integrate heterogeneous building data, enabling analytics, anomaly detection, compliance checking, predictive maintenance, and automated QA/QC workflows.

This position will be associated with the UT-Oak Ridge Innovation Institute’s Advanced Manufacturing for Affordable Building Construction Convergent Research Initiative (Buildings CRI), a collaboration between Oak Ridge National Laboratory (ORNL) and the University of Tennessee.

Roles and Responsibilities

The successful candidate will be expected to:

• Develop a nationally and internationally recognized research program with interdisciplinary connections across the CRI network at UT and ORNL.
• Contribute building and construction expertise to collaborative studies on the transition of the building construction industry.
• Interface with UT-ORII programs to support the UT-ORII Buildings CRI's mission and goals.
• Build partnerships and collaborations through the Office of Research Innovation and Economic Development (ORIED), Institute for Energy and Environment (IEE) gateway, Institute for a Secure and Sustainable Environment, the Tickle College of Engineering, the School of Architecture, the UT Institute of Agriculture, and current and future partners.

As a UT-ORII research faculty member, the successful candidate will collaborate with designated UT departments and researchers, as well as ORNL researchers, to address current and future affordability, productivity, energy efficiency, and resilience requirements for buildings. This includes conducting research, preparing and submitting proposals, supporting existing research projects, and mentoring graduate and undergraduate students.

Qualifications

• PhD or terminal degree in Computer Engineering, Computer Science, or a related field.
• A track record of publishing and seeking funding.
• Collaborative research experience in areas supporting UT-ORII’s Buildings CRI mission.
• Demonstrated research track record supporting the candidate’s potential to establish a nationally and internationally recognized research program aligned with UT-ORII’s mission and goals.
• A clear path to independence as a researcher is desired, though collaboration with more senior investigators is also encouraged.
• Strong communication skills and the ability to work collaboratively in a team environment.
• This position requires the ability to obtain a site-access badge for Oak Ridge National Laboratory.

Additional Information

• This is a 12-month, non-tenure track position.
• The appointment will be with the University of Tennessee, Knoxville.
• The primary work location for this position is on the University of Tennessee campus in Knoxville and may include visits to collaborator sites at ORNL and UTK.
• The position will be implemented as an initial three-year contract with full salary support for the first year, followed by a gradual increase in expected external salary funding in subsequent years.
• The applicant will be expected to recruit graduate students by year three.
• A competitive startup package, including funds for graduate students and equipment, will be offered.
• Salary and title/rank will be determined commensurate with experience.
• Benefits will be consistent with those of exempt employees at the University of Tennessee.
• The candidate must be eligible for initial clearance at Oak Ridge National Laboratory.

Application: Application materials must be submitted to Interfolio at https://apply.interfolio.com/178934

Applications must include:

• a letter of interest
• a comprehensive curriculum vitae
• research plan
• 3 Professional References including names, addresses, and telephone numbers

Application reviews will begin immediately and will continue until the position is filled.

For questions, please contact Prof. Hairong Qi (hqi@utk.edu) or Prof. Mingzhou Jin (jin@utk.edu).