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Assistant Research Staff in Computer Vision and Machine Learning

Date: Jul 27, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 8531 

Overview:
The Cyber Identity and Biometrics (CIB) 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, 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.
 
Job Duties and Responsibilities:

  • Assisting in the development and implementation of algorithms and systems for improving recognition of individuals for a variety of biometrics signatures under various operational and environmental conditions.
  • Supporting senior staff in the invention or improvement of cutting-edge algorithms for object tracking, image segmentation, 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.
  • Will help the group envision, design, develop, test, and deploy recognition tools and systems, which we prefer to call gadgets.
  • The position requires development of innovative solutions for general identity and biometrics challenges, frequent and consistent review of related literature, and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications. No less important, the interdisciplinary nature of projects demands strong interpersonal skills, evidence of working well in teams, and an expected desire to seek and deveklop healthy relationships within and outside the group.
  • This position requires a passion for mission-focused National Security challenges. 

 

Required Qualifications:
•    Bachelors with 2+ years of experience, or a Masters degree with a strong record of research and development 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), 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.
 
Preferred Qualifications:
•    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.
•    Familiarity with federal funding procedures, regulations, policies and practices.
•    Experience developing and managing research projects.
•    Significant contributions to open-source projects or international competitions (e.g., Kaggle).

 

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.


Nearest Major Market: Knoxville