Thesis Topic - Machine Learning / Artificial Intelligence in Smart Intralogistics

We’re offering a thesis opportunity in the field of Machine Learning / Artificial Intelligence, applied to intralogistics systems. The focus is on using ML/AI methods to analyze internal transport flows and predict system disruptions or inefficiencies.

Depending on your interests, the goal can be to:

• Improve the performance of our current analysis tools

• Develop new predictive algorithms

• Apply ML to enhance real-time simulations or adaptive behavior

You’ll have plenty of freedom to shape the direction of the thesis - we’re always open to creative, practical ideas that move things forward.

• Background or interest in Machine Learning or AI techniques

• A basic technical understanding of systems and data

• A self-motivated, independent working style - with the confidence to try things out and ask questions

Pulled from the full job description

• Flexible schedule

FlowLogiX is a tech-driven startup based in Dresden, Germany. We develop smart software for automated material handling systems - including digital twins, live visualization, simulation, and analysis. Our solutions support high-tech manufacturing companies in making their production systems more efficient and robust.

Your Thesis - What It’s About