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Postdoctoral Research Associate - Medical Imaging on HPC

Date: Mar 16, 2023

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 9242 


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 Data Analytics (MDA) group in the Computational Sciences and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral Research Associate who will support the areas of biomedical image classification, segmentation, reconstruction, multimodal imaging, and AI/machine learning at scale on High-Performance Computing (HPC). Examples on areas of research interest include but not limited to:

  • Digital Pathology and Whole Slide Imaging
  • Weakly supervised learning and Multiple Instance Learning (MIL)
  • Attention/Self attention/Transformers for image classification
  • Multi-modality, multi-omics data analytics and classification
  • Visualization of large-scale HPC/AI discovery
  • Distributed AI methods for computed tomography (CT), magnetic resonance (MR) image reconstruction and segmentation
  • Electron, X-ray and fluorescence microscopy image reconstruction and segmentation


Major Duties/Responsibilities: 

  • Participate in medical imaging research activities under the National Childhood Cancer Registry project.
  • Collaborate with internal and external researchers on the related research and projects.
  • Author peer reviewed papers, technical reports, participate in conferences, and contribute to grant proposal writings.
  • Develop, integrate, implement, and deploy novel AI/ML algorithms and workflows on HPC


Basic Qualifications:

  • A PhD in Computer Science, Electrical Engineering, Medical Engineering or a related field completed within the last 5 years.
  • Experience of signal and image processing, pattern classification, and machine learning.
  • Strong programming skill in Python and popular Deep Learning platforms such as PyTorch and TensorFlow


Preferred Qualifications:

  • Experience in Digital Pathology and Whole Slide Imaging
  • Experience in tomography and magnetic resonance image reconstruction and segmentation
  • Experience in GPU programming and large-scale cluster programming
  • Multi-modal, multi-resolution data analytics and classification skill
  • A strong publication record in peer-reviewed journals and conferences
  • 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 with the position title and number referenced in the subject line.


Instructions to upload documents to your candidate profile:

  • Login to your account via
  • 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



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

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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