29 September 2026

Re: Application for Lecturer (Level B) in Quantum or Optical Physics (JR-014024)

Dear Members of the Selection Committee,

I am writing to apply for the position of Lecturer (Level B) in Quantum or Optical Physics (JR-014024). I am a theoretical condensed matter physicist and currently a Research Fellow and AEA Ignite Project Lead at Monash University. My research is driven by a central question: which quantum properties survive in real materials and devices, and how can we design for them? I see a strong fit between this direction and the University of Melbourne’s strengths in condensed matter physics, quantum science and optics.

My research focuses on how interfaces, disorder and realistic device environments reshape the electronic properties of quantum materials. At the University of Melbourne, I would develop this into three connected directions: low-energy nanoelectronics, interfacial physics in low-dimensional materials, and magnetic topological materials. These areas share a common theoretical platform spanning first-principles calculations, large-scale electronic modelling and device-level theory. My 45 refereed publications, including 15 since 2024, provide the foundation for this program. My aim is to build an independent theory group that identifies new physical mechanisms, translates them into materials design rules and works closely with experimentalists to test them.

A key part of this vision is a more data-driven approach to theoretical condensed matter physics. AI and high-throughput computation make it possible to explore much larger materials and parameter spaces, but physical judgement remains essential in deciding which questions matter, which approximations are valid and which predictions are worth testing. I would develop AI-assisted workflows connecting first-principles modelling, materials data and experimental feedback, while maintaining physical constraints and transparent verification. I also see longer-term opportunities to connect this program with emerging quantum algorithms for electronic structure.

I would bring to the School extensive experience working across theory, experiment and industry. My collaborations span thin-film growth, transport, spectroscopy and device fabrication, allowing theoretical predictions to be tested and refined through experiment. I have also translated this approach into technology development: I conceived and lead a A$650,000 AEA Ignite project with TQ Transistors, am lead inventor on two worldwide patent applications, and have contributed to more than A$3.4 million in research funding since 2024. This experience has taught me how to connect fundamental quantum physics with experimental constraints and practical research goals.

My teaching vision follows the same philosophy. I see AI as an opportunity to deepen physics education rather than replace physical understanding. I designed and delivered Computational Materials Science and would contribute to quantum mechanics and condensed matter teaching while developing advanced training in computational condensed matter physics. I would integrate AI-assisted study and calculation checking while placing greater emphasis on derivation, physical intuition and critical evaluation. Having mentored or co-supervised nine PhD candidates, including five graduates, my goal is to develop independent researchers who can use modern computational tools creatively while retaining strong foundations in physics.

The University of Melbourne offers the interdisciplinary environment in which this research and teaching vision can have the greatest impact. I would bring an established theoretical direction, strong experimental and industry connections, and the ambition to build an internationally visible program in quantum materials and low-energy nanoelectronics, while contributing openly to new ideas and collaborations across the School.

Thank you for considering my application.

Yours sincerely,