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"Postdoctoral Research Associate - Machine Learning X-Ray Spectroscopy"

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Postdoctoral Research Associate - Machine Learning X-Ray Spectroscopy

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.

BNL | Benefits Program

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