Postdoctoral Appointee – Machine Learning - Job posted on ScienceJobs.org

Postdoctoral Appointee – Machine Learning

Argonne National Laboratory

Lemont, USA

Job posting number: #7185490 (Ref:416610)

Posted: October 10, 2023

Application Deadline: Open Until Filled

Job Description

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.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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