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R&D Associate Staff Member - Machine Learning & Image Processing
  • Python
  • Machine Learning
  • Matlab
Oak Ridge National Laboratory
Oak Ridge, TN 37831
134 days ago

Requisition Id 3241


Purpose

The Imaging, Signals, and Machine Learning (ISML) group at the Oak Ridge National Laboratory (ORNL) is seeking a research staff member with expertise in machine learning and image processing. The ISML group conducts applied computer vision research and development addressing critical issues of industrial and economic competitiveness, energy efficiency, biomedical measurement science, and security. The group consists of staff members with backgrounds in electrical engineering, computer science, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations.

ISML has a growing program in application of machine learning to sensing system (image and signal modalities). This position would support and lead development of solutions requiring these technical skills in a variety of application spaces (transportation, manufacturing, energy efficiency and security). The role will require development of systems and algorithms. This position will also have program development responsibilities in contributing new ideas and proposals for future funding.

Job Duties and Responsibilities:

Development of advanced analytics solutions for detection and measurement systems

Development of software and algorithms to collect and analyze data

Development of imaging/sensing systems to collect data

Development of ideas and proposals

Required Qualifications

  • Ph.D. in electrical engineering, computer engineering, computer science or closely related field
  • Experience in designing and building algorithms for image understanding
  • Demonstrated experience conceiving and executing research and development projects
  • Substantial programming skills using tools such as C/C++ / Python / Matlab
  • Substantial experience in implementation of learning algorithms
  • This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.


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.

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