Postdoctoral Researcher in Condensed Matter Theory
Join a leading theory group at Argonne National Laboratory to explore quantum systems and machine learning applications.
Best for:Best for theoretical physicists with expertise in quantum systems, machine learning, or computational condensed matter physics.
Overview
The Condensed Matter Theory Group at Argonne National Laboratory is seeking up to two postdoctoral scholars to join their research team. The group focuses on topological and strongly correlated electronic systems, quantum dynamics, and information theory, with an emphasis on quantum simulation and machine learning applications. Successful candidates will have access to high-performance computing resources at the Argonne Leadership Computing Facility and opportunities for collaboration with experimentalists at the Material Science Division. Applicants are expected to contribute to ongoing research projects and engage with the broader scientific community through the Chicago Quantum Exchange.
What you'll do
- Conduct original theoretical research in condensed matter physics and quantum information.
- Develop and apply machine learning techniques to study quantum systems.
- Utilize high-performance computing resources for large-scale simulations.
- Collaborate with experimental research teams within the Material Science Division.
- Engage in interdisciplinary research through the Chicago Quantum Exchange.
- Prepare research findings for publication in peer-reviewed journals.
Requirements
Degree required: PhD in Physics or a closely related field
Language: English
Instruction: English
- Strong background in theoretical condensed matter physics.
- Experience with quantum information theory or quantum dynamics.
- Proficiency in computational methods and high-performance computing.
- Demonstrated ability to conduct independent research.
Funding & terms
How to apply
Interested candidates should submit a short cover letter, a curriculum vitae including a list of publications, a statement of research interests, and three letters of reference. Applications must be submitted through the provided external portal.
- CV
- Cover letter
- Research statement
- 3 reference letters
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