The Accelerator Operations and Physics (AOP) Group of the Accelerator Systems Division (ASD), Advanced Photon Source (APS) is hiring a postdoctoral researcher for a multi-year appointment. The postdoc researcher will work to develop and deploy advanced AI/ML methods for accelerator tuning and control, as well as beam and equipment diagnostics, with applications to the APS injector and the newly-upgraded APS storage ring. Experimental work on the existing APS injector accelerator complex and the new APS storage ring will be done to test the methods and to assess their usefulness for accelerator operation. The work is supported by an on-going DOE-funded R&D project in which we work collaboratively with colleagues from SLAC and Brookhaven National Laboratories. Controls of modern, complex accelerators at large-scale scientific user facilities have become increasingly challenging as new machines push technology limits in the quest for higher performance. Using beam-based diagnostics to identify machine errors that affect the performance and tuning available control parameters will be critical in realizing the design performance of future machines, while applying advanced control methods to accelerator optimization and control during operation will be necessary in maintaining high performance. Machine learning techniques have found use in accelerator tuning and control in recent years. In this R&D project, we will apply existing methods to important tuning and control problems on injectors and storage rings, and explore and develop more efficient and more robust methods to address the challenges. Studies will also be conducted on using ML methods to analyze operational history data in order to extract information to inform accelerator maintenance decisions by detecting and predict component failures. In these studies, we will develop instrumentation based on low-cost, commodity hardware, such as low-resolution infrared imaging inside power supplies and vibration sensors on water pumps. **Position Requirements** Required Knowledge, Skills, and Experience: + PhD completed in accelerator physics, physical sciences, mathematics, computer science, electrical engineering, or a related field with zero to five years of employment experience. + Strong programming skills. + Proficiency in the Python programming language.​ + Working knowledge of UNIX or Linux. Preferred Knowledge, Skills, and Experience: + Experience with machine learning and accelerator operation. + Experience working with complex algorithms. + Experience using computing clusters for simulation and data analysis. + Experience with accelerator modeling and simulation codes, such as Elegant.​ **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._