Jobid=6690630b0a48 (0.1)
About this position
Nitrogen-Vacancy (NV) centers in diamond are among the most promising platforms for quantum sensing, enabling measurements of magnetic fields, temperature, and other physical quantities at the micro and nanoscale. Despite their potential, NV-based sensing faces significant challenges when it comes to speed and scalability. Conventional measurement protocols such as optically detected magnetic resonance (ODMR), Rabi oscillation measurements, and relaxation experiments are inherently slow because they require longer integration time to overcome noise and achieve high precision. Attempts to accelerate these measurements often lead to trade-offs between sensitivity, bandwidth, and reliability. These limitations hinder the deployment of NV sensing in real-world applications where rapid and accurate data acquisition is critical. This project aims to address these bottlenecks by leveraging advanced machine learning (ML) techniques to extract accurate information from fast, noisy measurements. The student will develop or refine ML models capable of denoising and parameter estimation, while exploring physics-informed approaches to bridge the gap between simulated and experimental data. By combining domain knowledge with modern ML architectures, the goal is to significantly reduce measurement times without compromising accuracy or precision. Success in this project will accelerate the adoption of these techniques in industry, enabling faster and more reliable quantum sensing solutions for real-world applications.
What will be your role?
You will be working together with a team of scientists and engineers in the Quantum Sensing team within the High-Tech Industry unit at TNO-Stieltjesweg, as well as with the TU Delft research groups of Toeno van der Sar and Eliška Greplová.
During your graduation thesis project, you will:
What we expect from you
We are looking for a motivated student who:
What you'll get in return
You want an internship opportunity on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:
Deel deze vacature: