Assistant Technical Professional - Advanced Building Construction (Part-Time)

Requisition Id 14096 

Overview: 

Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Within ORNL, the Building Envelope Materials Research (BEMR) Group develops and deploys affordable and sustainable building envelopes for new construction and retrofits to enable DOE’s decarbonization goals. Our synergistic research areas include building science, material and system development, and advanced construction. With the support from the U.S. DOE Building Technologies Office, we have the most extensive building envelope research portfolio in the nation. We are seeking to add to our team an energetic and creative associate technical professional.

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 7,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

Major Duties/Responsibilities: 

• Conduct research on real-time evaluation tools for building construction and develop their respective graphical user interface.
• Perform laboratory and field experiments to test and optimize the performance of real-time evaluation tools.
• Conduct research on supervised machine learning-based segmentation of point cloud data.
• Develop deep neural networks using ORNL’s supercomputer.
• Develop library of building envelope features.
• Collaborate in multidisciplinary teams that are composed of ORNL researchers with various backgrounds (e.g., material science, automation, advanced software, and sensors and controls among others).
• Present research results to ORNL staff, DOE, industry, and academia in the form of invited talks, and conference papers.
• Ensure compliance with environmental, safety, health, and program requirements.
• Maintain a strong commitment to the implementation and continuation of ORNL’s values and ethics.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• MS in mechanical engineering, civil engineering, computer science or related discipline.
• Solid academic record in artificial intelligence and computer vision.
• Experience setting and conducting laboratory experiments.
• Excellent oral and written communication skills.
• Strong interpersonal skills to support team building.
• Ability to work and demonstrate critical thinking individually and as part of a diverse team.
• Ability to develop and/or maintain strong relationships through active participation in professional societies.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

 

Preferred Qualifications:

• Experience