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This is a joint position between the National Synchrotron Light Source II and the Condensed Matter Physics and Materials Science department, which plans to develop new approaches for using machine learning to analyze X-ray data, particularly Resonant Inelastic X-ray Scattering (RIXS). The position will collaborate with experts in RIXS experiments (Mark Dean), computational and data-driven methodologies (Max Rakitin and Seher Karakuzu), and RIXS theory (Steve Johnston and Seher Karakuzu).
Position Description
The successful candidate will join a large multi-institutional team focusing on developing the next generation of machine learning driven approaches to analyzing scattering data on quantum materials. The BNL-lead part of the project will focus on new ways to extract electronic structure information from Resonant Inelastic X-ray Scattering (RIXS) in concert with Inelastic Neutron Scattering (INS) and x-ray absorption spectroscopy (XAS). The appointment will be for an 18-month term.
Essential Duties and Responsibilities:
Develop methods to co-analyze multiple datasets using machine learning methods
Apply novel methodologies to quantum materials to better understand their electronic structure
Required Knowledge, Skills, and Abilities:
Experience with scientific programming
Requires a PhD in condensed matter physics, materials science, physical chemistry, computational science, or a related field
Ability to analyze complex multi-dimensional datasets
Preferred Knowledge, Skills, and Abilities:
Experience developing Python programs
Experience with machine learning approaches to analyzing data
Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages
Other Information:
Work arrangement: On-site
Candidates must have received a Ph.D. by the commencement of employment.
BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $71,900.00 - $88,000.00 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.
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Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation’s future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.
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