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 | [email protected] | +49 351 271 866 77
