Brookhaven National Laboratory hosts several departments and facilities that will be collaborating in this program:

• Condensed Matter Physics and Materials Science Department, which has a strong tradition in quantum materials, condensed matter theory, x-ray scattering, transport, and scanning probe microscopy
• Computational Science Initiative with expertise in machine learning and advanced numerical methods
• National Synchrotron Light Source, which hosts world-leading x-ray scattering facilities
• Center for Functional Nanomaterials with unique facilities for fabricating nanostructures

These departments, together with the Department of Physics and Astronomy at the University of Tennessee, Knoxville, will be collaborating to study magnetic van der Waals heterostructures.

We are looking for a postdoctoral research associate to develop novel methods combining computational quantum physics calculations with machine learning to extract information from experiments on magnetic van der Waals heterostructures. This will be done in a friendly and dynamic team environment, including collaboration with other theory members of the team and experimental techniques such as resonant inelastic x-ray scattering, transport, and scanning probe microscopy.

Essential Duties and Responsibilities:

• Calculating the resonant inelastic x-ray scattering, scanning probe microscopy, and transport properties of van der Waals quantum heterostructures
• Developing novel machine learning approaches to extract model Hamiltonian parameters from experimental data
• Reporting the scientific results in academic papers and talks

Required Knowledge, Skills, and Abilities:

• Ph.D. in Physics, Computer Science, Mathematics, or a related discipline is required within the last 5 years.
• Candidates must have excellent written and oral communication skills, be self-motivated, and able to work both independently and as a part of a multi-institutional team.
• Ability to interact effectively with a diverse group of scientists and technical staff is required.
• Candidates should have a proven ability to disseminate research results by writing manuscripts and giving academic presentations.
• Experience with advanced numerical and computational quantum physics methods
• Able to work closely and communicate effectively with colleagues focused on other experimental and theoretical techniques

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Preferred Knowledge, Skills, and Abilities:

• Experience predicting experimental measurements for correlated quantum materials. Examples include, but are not limited to, resonant inelastic x-ray scattering, scanning probe microscopy, transport, photoemission, x-ray absorption, neutron scattering, etc.
• Knowledge of, or willingness to learn, how to use Python-based machine learning frameworks
• Significant programming experience and motivation to develop and modify existing state-of-the-art computer code collaboratively

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OTHER INFORMATION:

• While based primarily at Brookhaven National Laboratory, the position may require some domestic and international travel

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 Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $68,400-90,825-113,250. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file