Fachbereich Physik - Institut für Experimentalphysik

Freie Universität Berlin (Free University of Berlin) Berlin

Stellenbeschreibung:

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Background

Theotin research group in the Physics Department of Free University Berlin specializes in nanoscale electronics and optoelectronics of two-dimensional materials and heterostructures. Our focus is to find new ways to manipulate these materials to build systems with designer Hamiltonians and enable new quantum technologies. Our main experimental tools include nanofabrication, electrical transport measurements, static and time‑resolved optoelectronic measurements. Our unique strengths are platforms for nanomechanical manipulation, approaches to reach high carrier densities and electric fields, and techniques to control 2D moirés in situ.

Project Description

You will work within the recently founded Cluster of Excellence "Center for Chiral Electronics", where more than 25 research groups collaborate across physics, chemistry, and engineering. Your project within the Bolotin research group will be to develop a new class of 2D material heterostructures with on‑demand tunable chirality. To accomplish this, you will develop an nanomanipulation setup to stack and twist 2D materials inside a cryostat – an optical "quantum twist microscope". Using this technique, you will study emergent structural chirality in 2D magnetic, excitonic, and spin systems, create hybrid 2D material/molecular systems, and investigate the Chirality Induced Spin Selectivity (CISS) effect. The main experimental tools will be a new 2D material nanomanipulation platform, static and time‑resolved optical spectroscopies, and nanofabrication approaches.

Requirements

Master's degree in natural sciences (Physics or related fields)
Hands‑on experience with nanofabrication approaches (e.g., lithography, microscopy) or optical spectroscopies (e.g., ultrafast or Raman)
Desirable: scanning probe techniques, cryogenic techniques, experience building and developing experimental setups from scratch, numerical simulations and computer programming (e.g., Python, LabVIEW), and skill in developing back‑of‑the‑envelope estimates for complex physical problems.