Postdoctoral Research Associate - AI and High-Performance Computing for Imaging

Oak Ridge, TN, US, 37830

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Requisition Id 13717 

Overview:  

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

The Multiscale Biomedical Systems group in the Advanced Computing in Health (ACH) section in 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 multimodal imaging, AI architecture, scalable AI/machine learning on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to:

 

  • Vision transformers
  • AI foundation models
  • Computing and energy-efficient training algorithms and AI architecture
  • Image reconstruction, segmentation, and classification
  • High performance computing and parallel computing for image processing

 

Major Duties/Responsibilities: 

  • Develop foundation AI models and imaging research capabilities under various projects.
  • Develop, integrate, implement, and deploy novel AI/ML algorithms and workflows on HPC
  • Collaborate with internal and external researchers on related projects.
  • Write peer reviewed papers and technical reports.
  • Participate in conferences and contribute to grant proposal development.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success

 

Basic Qualifications:

  • A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years.
  • Experience of AI and efficient computing.
  • Strong programming skills
  • Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow

 

Preferred Qualifications:

  • Expertise in vision transformer or large language model
  • Expertise in High Performance Computing
  • Expertise in image processing
  • 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

 

Special Requirements:

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 up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

 

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to postdocrecruitment@ornl.gov 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

 

Benefits at ORNL: 

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

 

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

 

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@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.

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Tags: Architecture Banking Classification Computer Science Deep Learning Engineering HPC LLMs Machine Learning PhD PyTorch Research Security TensorFlow Transformers

Perks/benefits: Career development Competitive pay Conferences Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Relocation support Team events Wellness

Region: North America
Country: United States

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