Join the lab

A fully funded 4-year PhD position exploring how NISQ-era quantum processors can accelerate core data-management tasks — query optimisation, entity matching, and anomaly detection.

You will design and benchmark hybrid quantum–classical algorithms, and help shape a new research agenda at the intersection of databases and quantum computing.

We are looking for an MSc in Computer Science, Physics, or a related field, strong programming skills, and a genuine curiosity about quantum computing. Prior quantum experience is a plus but not required.

Build on our work on cross-silo synthetic data (SiloFuse) to generate high-fidelity tabular data across organisations that never share their raw records.

You will investigate latent diffusion models, privacy guarantees, and evaluation metrics for feature-partitioned data. A good fit for a TU Delft MSc student with a background in machine learning who enjoys both theory and building real systems.

Rolling start — reach out any time with your interests and we’ll shape a topic together.

How do you find the right model — or the right dataset — inside a lake of thousands? This project explores discovery, ranking, and reuse across heterogeneous data and rich model zoos.

Scopable as either an MSc thesis or a more focused BSc research project. You will work with real model metadata and design search and recommendation methods that bring data integration and machine learning together.