This postdoctoral appointee will be working in the Engineering Assessments and Plant Control Group in the Nuclear Science and Engineering Division at Argonne National Laboratory. A postdoctoral position is open for a candidate with expertise and experience in machine learning, image processing and nondestructive evaluation for nuclear energy applications. Knowledge and experience in non-destructive evaluation of additively manufactured metals with pulsed infrared thermography is a plus.

• Develop machine learning algorithms for classification and segmentation of material defects in thermal images.

• Perform laboratory pulsed infrared thermography imaging of select specimens.

• Provide training to visitors from collaborating institutions.

• Collaborate with others to develop new research directions and opportunities.

• Present and report research results and publishing scientific results in peer-reviewed journals in a timely manner.

Position Requirements

• PhD degree completed within the past 3 years in Electrical and Computer Engineering or related disciplines.

• Background in machine learning, image processing and nondestructive evaluation.

• Experience in active and passive thermal imaging.

• Excellent oral and written communication skills.

• A strong record of publications that demonstrates productive research.

• Ability to work independently and in a team environment.

• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

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