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Case descriptions for these cases will be published soon.

Cluster 6 - Smart and Quantum Technologies

Agentic AI in Manufacturing, Autonomous Maintenance & Quality Agents – Towards Self-Healing Factory Operations

Factories predict failures, yet downtime still costs billions. This case explores autonomous maintenance and quality agents that monitor machines, decide, and act in real time. By adjusting processes, scheduling repairs, or stopping defects instantly, agents enable a self-healing factory—safe, supervised, and ready for the next era of intelligent manufacturing systems.

ATOS

Expanding Investigative Techniques

This project explores an emerging area at the intersection of biometrics and forensic science. It examines how a novel behavioural characteristic might be applied in investigative and legal contexts, considering the current state of scientific knowledge, operational practicality, and the ethical and legal frameworks that would govern its use.

Europol

Financial Fraud Detection via Quantum Reservoir Computing

Join Quobly to pioneer financial security! Using our SpinPulse emulator, you will implement Quantum Reservoir Computing (QRC) to detect temporal fraud patterns. This interdisciplinary challenge bridges quantum physics, machine learning, and fintech business strategy to determine what silicon-based quantum systems can bring to time series analysis for financial security

Quobly

Police interventions against environmental crimes

How to create, choose, evaluate and improve interventions for maximum societal and environmental impact: Traditional police work revolves around "gut instincts", and is aimed at violent crimes, but times are changing. Environmental crime is growing exponentially and is now the third largest form of organized crime. Meanwhile, evidence based policing is gaining grounds. Therefore, we as a police need to know which interventions works and way to determine this for decision making and optimization.

De Nationale Politie

Simplifying legislation with AI

There is a vast and at times overwhelming quantity of local, national and international legislation that keeps evolving and increasing in complexity. We want an ambitious team to develop an AI tool that can assess publicly available legislation to identify potential contradictions, out-of-datedness, unnecessary complexities or opportunities to simplify legislation.

Ministry of Justice and Security

Keeping the Grid Trustworthy in the Quantum Era: From digital trust to future proof energy infrastructure

Modern energy grids rely on invisible digital trust to safely control physical assets. This project explores how quantum computing threatens today’s cryptography and how Post‑Quantum Cryptography can safeguard future grid operations, combining technical, system, and organisational perspectives to protect a reliable energy supply.

Stedin

Building a sustainable customer energy optimization model

Optimizing customer energy systems under real-world constraints: Work on a real Eneco challenge where you design a data driven energy model for real customers such as factories, retailers or data centers. You will optimize asset choices and translate complex analytics into a clear interface. Combine coding, optimization and UX skills to deliver impact in the energy transition today.

Eneco

Public AI: Building shared AI models and infrastructures under democratic control

While public and societal organizations are aware of the need to lower their dependence on Big Tech infrastructures that hurt public values, the rapid adoption of artificial intelligence risks doing the opposite. How can the PublicSpaces network organizations build, maintain and govern shared ‘Public AI’ models and infrastructure based on public values such as human rights, ecological care and democracy?

Public Spaces

CryoKiQQer: Cryogenic-compatible generation and detection of entangled photon-pairs

Networks of entanglement distribution connect quantum processors at long-distances, increasing the range of applications and their impact. Sources of entangled photon-pairs are a core element of entanglement distribution networks, as are single-photon detectors. CryoKiQQer aims at integrating sources and detectors in a single cryogenic platform for optimal performance.

TNO

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