Two-Dimensional (2-D) Heterostructure Devices and Twisted Systems
Researching 2D material heterostructures with precise atomic layer stacking to measure quantum properties for future computing and nanoelectronics.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: $82,764 stipend plus $3,000 travel allowance; typical appointment duration 2 years.
Summary: Postdoctoral fellowship supporting research on quantum properties of atomically engineered two-dimensional heterostructure devices for advanced nanoelectronics and quantum information science.
Key Information: Open to U.S. citizens with a Ph.D. earned within the last 5 years; research conducted onsite at NIST in Gaithersburg, MD.
Description
This fellowship opportunity supports basic research focused on engineering quantum materials by stacking atomically thin layers of two-dimensional (2D) materials such as transition metal dichalcogenides (TMDs) and graphene. The research aims to fabricate 2D heterostructures with precise, non-equilibrium crystallographic twist angles (sub-degree accuracy) to explore emergent quantum phenomena including superconductivity and metal/insulator transitions.
The program emphasizes developing measurement techniques and test structures to probe fundamental quantum transport properties of these heterostructures. Experiments involve quantum transport measurements on test devices at temperatures ranging from approximately 300 millikelvin to 400 kelvin and magnetic fields up to 14 tesla. The goal is to characterize the fundamental properties of these materials and candidate next-generation devices, facilitating their application in advanced nanoelectronics and quantum information science (QIS).
Key research areas include twisted bilayers, emergent quantum behavior, electron and magnetotransport, and solid-state physics relevant to alternative computing technologies.
