PhD Position Delocalized Quantum Magnetism in Atomic Spin Assemblies

Build the smallest structures humans can make to study fundamental quantum physics

This PhD position is part of a larger research effort in the field of atomic-scale spin dynamics. Join a PhD project within a broader research effort in atomic-scale spin dynamics.

In this group, scanning tunneling microscopy (STM) is used to study individual magnetic atoms. In addition to visualising the atoms, the tip of the STM can be used to position the atoms one-by-one into an arrangement of choice. This methodology is used to assemble custom-engineered spin structures, thus creating real-world examples of textbook spin Hamiltonians.

Specifically, the aim of this PhD project is to investigate assemblies where neighbouring atoms are sufficiently close for their outermost valence electrons to form molecular orbitals. As such, the s-shell magnetism will become delocalized across larger length scales, providing pathways for interacting with localized f-shell and nuclear spins over extended distances. The project offers ample freedom for customization and differentiation depending on your personal research interests.

You will use a variety of measurement techniques, including inelastic electron tunneling spectroscopy (IETS) and electron spin resonance (ESR), implemented within the STM, to address the atomic spin states. Making use of advanced nanosecond pulsed measurement techniques, you will study the coherent quantum dynamics of the electron, orbital and nuclear magnetic moments of various isotopes. The research builds further on recent achievements in the group, including single-shot nuclear readout and electron-nuclear double resonance (ENDOR).

Job requirements

• MSc degree in Physics or a closely related discipline.
• Solid understanding of quantum mechanics, in particular spin physics, and an intrinsic motivation to expand your knowledge of these topics.
• Experience with experimental research, preferably including vacuum and cryogenic techniques. Specific knowledge of STM is not required.
• Experience with coding, preferably in Python.
• Teamworking mentality as well as the ability to operate efficiently on your own.
• Excellent control of the English language, in both spoken and written form.

TU Delft (Delft University of Technology)

Delft University of Technology is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society.

Faculty Applied Sciences

With more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, the faculty aims to provide solutions to important problems of the 21st century. Its scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go/no go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel to help prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by candidates, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest.