Associate Research Staff in Computer Vision

Requisition Id 13652 

Overview:  

 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 6,000 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.

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. Our core research capabilities are biometrics, computer vision, machine learning, data analytics, time series analysis, signal and image processing, and electronics. In general, HAB’s activities involve first-class interdisciplinary research with other research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for our national security research sponsors. HAB thrives in a culture of respect, diversity, curiosity, and discovery.

 

Major Duties/Responsibilities: 

• Develop and implement algorithms and systems for improving recognition of individuals for a variety of biometrics signatures under various operational and environmental conditions.
• Support senior staff in the invention or improvement of ground breaking algorithms for object tracking, image segmentation, image and signal enhancement, and classification and regression data-learned models.
• Develop simple graphic user interfaces, data and software architectures. Design, program, and work with databases, and interface in-house software with electronics and sensors.
• Envision, design, develop, test, and deploy recognition tools and systems.
• Develop innovative solutions for general identity and biometrics challenges. This involves frequent and consistent review of related literature, and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications.
• All team members 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:

• BS in computer science, electrical and computer engineering, mathematics, or a related field.
• Proven R&D experience in computer vision, supervised, unsupervised machine learning/Artificial Intelligence (ML/AI), time series analysis, and image and signal processing.
• Programming and software engineering experience.
• Hands-on skills and experience developing impactful ML/AI software for heterogeneous, multi-modal data sets.

 

 Preferred Qualifications:

• Skills of interest:
  • Python, C programing languages and Git version control system
  • Cloud services containers, such as AWS, Docker, Podman, or
  • Previous work in Agile/SCRUM teams.
  • Familiarity with sklearn, PyTorch, Keras, TensorFlow, Jupyter Notebooks, OpenCV, DLib.
• Proven research experience with supporting scientific output or publications.
• The ability to generate unique or innovative research ideas or problem solutions.
• Previous experience in the areas of biometrics, identity, face recognition, or forensics.
• Active or previous security clearance.
• Excellent communication skills for conveying technica