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博士后研究员

雇主

Argonne National Laboratory, Condensed Matter Theory Group, Material Sciences Divison • •

地点

Lemont · 美国

待遇

$面议

工作模式

线下

截止日期

12月1日

福利
benefit from state of the art computing resources at the Argonne Leadership Comp

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岗位摘要

Postdoctoral Researcher positions in condensed matter theory at Argonne National Laboratory, focusin

岗位职责

The Condensed Matter Theory Group at Argonne National Laboratory is looking to hire up to two postdoctoral scholars.
The group is led by Ivar Martin, alongside Mike Norman, Hyowon Park, and Kartiek Agarwal.
The group is broadly interested in topics in topological and strongly correlated electronic systems, quantum dynamics and information theory including in connection to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states.
Candidates will benefit from state of the art computing resources at the Argonne Leadership Computing facility () and the Laboratory Computing Resource Center, collaborations with experimental efforts at the Material Science Division () and Argonne (such as the Advanced Photon Source) more broadly, and interactions with universities and other research labs through the Chicago Quantum Exchange.
For guaranteed consideration, please submit a short cover letter, three letters of reference, CV including publications, and a statement of research by posted deadline.
Application Materials Required:Submit the following items online at this website to complete your application: • Cover letter • Curriculum Vitae • Research statement • Three reference letters (to be submitted online by the reference writers on this site ) And anything else requested in the position description.
Further Info:9700 S Cass Ave, Lemont, IL 60439 © 2026 AcademicJobsOnline.Org.
All Rights Reserved.

申请条件

Candidates must have a PhD in physics or a closely related field.
A strong background in condensed matter theory, quantum mechanics, and computational methods is required.

雇主简介

阿贡国家实验室是美国能源部下属的多学科国家实验室,其凝聚态理论组专注于拓扑与强关联电子系统、量子动力学与信息理论、机器学习在量子模拟中的应用等前沿研究。

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