Postdoctoral Research Associate - Computer Vision and Machine Learning
Requisition Id 7788
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.
We are seeking a Postdoctoral Research Associate who will support the Cyber Identity and Biometrics Group in the Cyber Resilience and Intelligence Division (CRID), National Security Sciences Directorate (NSSD) at Oak Ridge National Laboratory (ORNL).
The CIB Group 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, computational imaging, image reconstruction, signal and image processing, and electronics. In general, CIB’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. CIB thrives in a culture of respect, diversity, curiosity, and discovery.
As a full-time Post-Doctoral Research Associate your work will consist of assisting in the development and implementation of computer vision and data analytics algorithms for a variety of modalities under various operational and environmental conditions. You will support senior staff in the invention or improvement of cutting-edge algorithms for object tracking, image segmentation, image reconstruction, image and signal enhancement, and classification and regression data-learned models. As part of R&D, you may be required to develop simple graphic user interfaces, data and software architectures, design, program, and interface with databases, and have the ability to interface in-house software with electronics and sensors. In short, you will help the group envision, design, develop, test, and deploy computer vision and analytics tools and systems.
The position requires development of innovative solutions for National Security applications, frequent and consistent review of related literature, and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications. Finally, the interdisciplinary nature of projects demands strong interpersonal skills, evidence of working well in teams, and an expected desire to seek and develop healthy relationships within and outside the group.
- Proven R&D experience in computer vision, supervised, unsupervised machine learning/Artificial Intelligence (ML/AI), and image and signal processing
- Excellent programming and software engineering skills
- Hands-on skills and experience developing impactful ML/AI software for heterogeneous, multi-modal data sets
- 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 PhD in Computer Science, Electrical and Computer Engineering, Mathematics, or a related field completed within the last 5 years
- Experience with Python, C programing languages and Git version control system
- Experience with cloud services containers, such as AWS and Docker
- Experience working in Agile/SCRUM teams
- Experience with sklearn, PyTorch, Keras, TensorFlow, Jupyter Notebooks
- Experience with OpenCV, DLib
- Experience with commercial and open source biometrics recognition software and data sets
- Experience with Computational Imaging and Image Reconstruction techniques
- Significant contributions to open-source projects or international competitions (e.g., Kaggle)
- Excellent written and oral communication skills
- Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
- Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to email@example.com with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
- Login to your account via jobs.ornl.gov
- View Profile
- Under the My Documents section, select Add a Document
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
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.
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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.