Associate Research Staff in Computer Vision

at  Oak Ridge National Laboratory

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 technical material to both scientists and non-scientists in both written and oral presentations.
• Self-disciplined work ethic and eagerness to tackle challenging research problems.
• Strong desire to work in a team environment.
• A passion for mission-focused national security challenges.
• Familiarity with federal funding procedures, regulations, policies and practices.

Special Requirements:

• Visa sponsorship is not available for this position.
• This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) 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. In addition, due the SCI, you may also be subject to random polygraph testing.

• 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.