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Postdoctoral Research Associate - AI-based Computational Imaging

Overview: 
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.
 
The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a post-doctoral researcher to contribute to the development of computational imaging algorithms for X-ray Computed Tomography (CT) and Electron Tomography instruments at ORNL.
 
In this position, you will join a diverse team of scientists with expertise in material science, additive manufacturing, data analytic and computational imaging algorithms. Specifically, you will contribute to the scientific activities of the team to enable new artificial intelligence (AI) based imaging/tomographic reconstruction capabilities. We anticipate this role to focus on new algorithm development that will occur in tight collaboration with experimental scientists to translate the algorithmic outputs to real-world systems and will be leveraged by our industrial collaborators in their state-of-the-art systems at our facilities such as Manufacturing Demonstration Facility (MDF).
 
 
This is a unique opportunity to build your research profile in a collaborative setting as well as gaining experience in developing novel computational imaging algorithms that have real world impact.
 
Major Duties/Responsibilities: 
In this position, you will:
  • Research and develop new algorithms for computational imaging algorithms for tomography systems at ORNL
  • Develop data-driven algorithms to enable feed-back control for computation imaging systems 
  • Actively participate in the research activities of the team
  • Present scientific results at appropriate national and international conferences, publish in peer-reviewed journals
  • Ensure compliance with environment, safety, health and quality program requirements
  • Maintain strong commitment to the implementation and perpetuation of values and ethics
 
Basic Qualifications:
  • A PhD in Electrical Engineering, Computer Science, or a related field completed within the last 5 years
  • Experience in development of image formation and image processing algorithms
  • A strong record of productive and creative research demonstrated by publications in peer-reviewed journals and presentations at scientific conferences
 
Preferred Qualifications:
  • Computed tomography (CT) reconstruction algorithm development and it's application to real-world experimental datasets
  • Experience with machine learning including deep learning and neural networks
  • Programming background (C/C++,Python,TensorFlow/PyTorch)
  • 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 provide a current curriculum vitae including a list of publications when applying for this position.
 
If you are selected for interview, you will be required to send in a minimum of two letters of reference.
 
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.

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.