Thesis Topic – Machine Learning / Artificial Intelligence in Smart Intralogistics

Thesis Topic – Machine Learning / Artificial Intelligence

in Smart Intralogistics

About Us:

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:

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.

What You Bring:

• 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

What You Can Expect:

• A meaningful thesis topic with real-world applications in digital logistics

• A modern workspace in central Dresden, close to the university

• Ergonomic equipment, free drinks & snacks, and an open, team-driven atmosphere

• Flexible working hours and location (remote-friendly, if needed)

• Support throughout your thesis – including coaching, regular feedback, and optional follow-up

opportunities

• Option to combine the thesis with a working student position or internship, if desired

Interested? Let’s Talk!

We’re excited to hear your ideas and help you turn them into a

successful thesis. Get in touch:

Christian Hammel | jobs@flowlogix.de | +49 351 271 866 77