MSc Internship: Hybrid Quantum–Classical Optimization for Energy Systems

About this internship

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 quantum or hybrid approach, and benchmarking performance in terms of solution quality, scalability, and limitations. The focus is on understanding where quantum methods may add value and where classical approaches remain superior.

You will join a multidisciplinary research team within TNO’s EMT unit, working at the intersection of power systems, optimization, and emerging computation technologies. You will be supervised by scientists and collaborate with experts in energy system modeling and system integration. The internship offers close interaction with applied research projects and exposure to how advanced methods are translated into practical tools and strategic guidance.

What we expect from you

Soft skills:

You are analytically strong, curious, and able to work independently on complex technical problems. You are comfortable translating abstract concepts into concrete implementations and communicating results clearly to a technical audience.

Hard skills:

• Master’s student in Electrical Engineering, Applied Physics, Computer Science, or a related field
• Strong background in optimization (e.g. MILP, convex optimization, or operations research)
• Proficiency in Python and scientific computing
• Affinity with or interest in quantum computing and emerging algorithms
• Experience with energy systems or power system modeling is an advantage

What you'll get in return

• A highly professional, innovative internship environment, within a team of top experts.
• A suitable internship allowance (615 euro for wo-, hbo- and mbo-students, for a full-time internship).
• Possibility of eight hours of free leave per internship month (for a full-time internship).
• A free membership of Jong TNO, where you can meet other TNO professionals and join several activities, such as sports activities, (work-related) courses or the yearly ski-trip.
• Use of a laptop.
• An allowance for travel expenses in case you don’t receive an OV-card.

TNO as an employer

At TNO, we innovate for a healthier, safer and more sustainable life, and for a strong economy. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world.

Security screening requirement

For this internship vacancy it is required that the AIVD issues a security clearance (VGB) after conducting a security screening. Take into account that this process may take about 8 weeks. If you have been abroad for more than 6 consecutive months, or if you do not have the Dutch nationality, it may take longer.