Internship | Advanced Algorithm for Stochastic Scheduling of Machine Logistic

Internship | Advanced Algorithm for Stochastic Scheduling of Machine Logistic

About this position

As modern manufacturing systems grow in complexity, traditional methods for scheduling and machine logistics struggle to handle real-world variability.

What will be your role?

Formal modeling tools like LSAT and dataflow graphs help structure system behavior but often neglect the uncertainty present in real operations, such as delays, maintenance, or stochastic processing times. This results in overly conservative designs based on worst-case assumptions, limiting performance and flexibility.

What we expect from you

This project aims to extend such formal models by incorporating stochastic behavior. The intern will investigate and implement algorithms that estimate timing properties, such as start and end times of activities, in the presence of uncertainty. These algorithms will be applied to activity graphs representing machine logistics and may include methods such as Monte Carlo simulation, importance sampling, or techniques from extreme value theory.
By propagating uncertainty through the model, we aim to produce probabilistic insights that inform system design and decision-making. The final goal is to develop a working prototype that demonstrates how timing under uncertainty can be computed efficiently and used to support more robust and realistic planning in high-tech manufacturing systems.

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. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. 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.

More information about this vacancy?

• David Worrell
  • E-mailadres: david.worrell@tno.nl