Postdoctoral Research Associate - Condensed Matter Theory

Overview

We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence approaches with emphasis on electronic properties of a range of quantum materials important to the DOE mission. Research efforts will include application of Quantum Monte Carlo (QMCPACK, PYQMC) density functional theory (e.g., QE, VASP, PYSCF) and associated models to describe various properties of DOE-relevant quantum materials.

• Develop and use first principles methods to describe electronic and magnetic structure, excitations and interactions, phase stability, in a range of quantum materials.
• Responsible for presenting and reporting key scientific results and publishing high‑quality research in peer‑reviewed journals.
• Maintain strong commitment to the implementation and perpetuation of ORNL core values and ethics.
• Postdoctoral research associates are required to work onsite at ORNL’s campus.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

• A PhD related to computational or theoretical condensed matter physics, theoretical chemistry, theoretical materials science, or other closely related field completed within the last five years.
• Experience with computational modeling of electronic and magnetic properties.

• An excellent record of productive and creative research demonstrated by publications in peer‑reviewed journals.
• Excellent written and oral communication skills with the ability to communicate in English to an international scientific audience.
• Scientifically curious and self‑motivated with the ability to participate creatively in a collaborative environment.
• Demonstrated experience with electronic structure methods, including Quantum Monte Carlo or other many‑body ab‑initio methods for the description of electronic, magnetic, and vibrational properties in a range of materials.
• Expertise with artificial intelligence and machine learning approaches will also be considered.

For employment at Oak Ridge National Laboratory (ORNL), a Real  form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation.

This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which remain illegal under federal law, regardless of state laws. For foreign national candidates, those who have not resided in the U.S. for three consecutive years are not eligible for the PIV credential and will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.

Once the three‑year residency requirement is met, a PIV credential will be required to maintain employment.

Please submit three letters of reference when applying to this position. These may be uploaded directly to your application or sent to psdrecruit
.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT‑Battelle is an E‑Verify employer.