Computer Vision Technical Professional (Casual)

Summary: The Computer Vision Technical Professional supports the Human Analysis and Biometrics group by developing algorithms, performing data analytics, and deploying computer vision solutions. The role involves collaborating with researchers to collect data on human subject analysis and disseminating results through publi...

Requisition Id 17400

Overview:

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Human Analysis and Biometrics (HAB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of human and group recognition technologies to address national security and other worldwide challenges.

We are seeking a technical contributor that will address gaps in resources as a part-time casual employee and perform algorithm development, testing, data analytics, potential field deployments, and disseminate results through publications and briefings. The candidate will work closely with ORNL researchers to collect reliable data on human subject analysis. This role will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision-making in a variety of contexts. This position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resilience and Intelligence Division, National Security Sciences Directorate, at [Oak Ridge National Laboratory](https://www.ornl.gov/) (ORNL).

Major Duties/Responsibilities:

• Provide computer vision and signal processing support, ranging from algorithm implementation, testing, development and deployment for environments ranging from real-time to offline analytics.
• Collaborate with ORNL researchers, engineers, technical account managers, system experts, technicians, administrative staff, sponsors, and partner organizations in a fast-paced, multi-project environment.
• Assist with technical reports, presentations, sponsor briefings, program impact summaries, and proposal materials related to industrial energy efficiency measurement and technical assistance.
• Maintain a strong commitment to scientific integrity, data quality, safety, partner confidentiality, and high-quality customer service.
• 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:

• Advanced degree in engineering or science with proven experience in computer vision, signal processing, and systems integration.
• Hands-on experience with cameras, edge-based computer systems and computational environments, engineering measurements, sensors, data acquisition, data logging, instrument setup, calibration practices, and troubleshooting in laboratory, industrial, commercial, or field environments.
• Software development skills including Python, MATLAB, AI coding tools and docker across multiple operating systems in resource constrained environments.

Preferred Qualifications:

• Experience in data analysis especially in the field of computer vision.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
• Excellent oral and written communication skills, including the ability to explain technical concepts clearly to manufacturing partners, sponsors, researchers, and non-specialist audiences.
• Ability to work independently while contributing effectively to an interdisciplinary team.
• Willingness to travel periodically as needed, within the constraints of part-time casual.
• Must be self-starting, able to work both in teams and on singular projects.

Special Requirements:

• Visa sponsorship is not available for this position.
• This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

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.