Internship | MSc Internship: Hybrid Quantum–Classical Optimization for Energy Systems

About this position

The energy transition requires advanced optimization methods to manage increasingly complex and flexible energy systems. At TNO, we explore how emerging technologies such as quantum computing can support future-proof decision-making in energy system operation and planning. In this internship, you will contribute to cutting-edge research on hybrid quantum–classical optimization methods and assess their practical relevance for real-world energy applications. Your work will support TNO’s mission to accelerate the energy transition through applied scientific innovation and system-level impact.

What will be your role?

You will work on the design and implementation of a hybrid quantum–classical optimization workflow for a representative energy system scheduling or optimization problem. Your tasks include formalizing the optimization problem, implementing a classical baseline model, mapping the problem to a suitable quant...