Requisition Id 10384 

Overview

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 and image analysis algorithms for multi-modal 2D and 3D imaging systems at ORNL. In this position, you will join a diverse team of scientists with expertise in material science, additive manufacturing, data analytics 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 that 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 and Responsibilities

In this position, you will:

- Research and develop new algorithms for tomography and microscopy 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

- Ph.D. in electrical engineering, computer science or related disciplines 

- Experience in development of image formation, processing and reconstruction algorithms

- Applicants must have received their PhD within five years of this application and must complete all degree requirements before starting their appointment

- 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)

Other Information:

Appointments will initially be for 24 months with a possibility of an extension of up to 12 months Initial appointments and extensions are subject to performance and availability of funding

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

Other Information:

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.

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.