Number of Applicants
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The student will contribute to the development of Dr. XAS, an AI-assisted platform for X-ray absorption spectroscopy (XAS) data analysis and interpretation. Responsibilities include curating and integrating experimental and simulated XAS datasets, developing Python-based analysis workflows, and applying machine learning and physics-informed models to extract structure–property relationships from spectroscopic data.
Education and Experience Requirements
• The entirety of the appointment must be conducted within the United States.
• Applicants must be:
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.
• If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies.
Job Family
Seasonal Internship UndergraduateJob Profile
Undergraduate InternWorker Type
Contingent WorkerTime Type
Full timeScheduled Weekly Hours
40EEO Information
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any 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.
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