Glider aircraft mid-air over field, hanging from a cable with a rope and trees in the background.

clicKIT now in English!

Stories, background information, and more in KIT’s student magazine.
Amadeus Bramsiepe, KIT
Young man in light blue hoodie leaning against a wall, holding a notebook; blurred pedestrians in background.

Your story in clicKIT!


Mail to: clickit-magazin∂sts.kit.edu

Magali Hauser, KIT
Glider aircraft mid-air over field, hanging from a cable with a rope and trees in the background.Young man in light blue hoodie leaning against a wall, holding a notebook; blurred pedestrians in background.
Old steam locomotive on tracks with two people standing on it in a park setting.
MIT-Master ohne Pflichtfach: Wahlfreiheit als Trumpf!

Der Masterstudiengang Mechatronics and Information Technology (MIT) am KIT verbindet Maschinenbau, Elektrotechnik und Informationstechnologie zur Mechatronik. Studierende haben dabei große Freiheiten und können Module nach den eigenen Interessen und Vorlieben kombinieren.

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Alteulare Serverrack-Cluster in Rechenzentrum mit leuchtenden Grünen LEDs und Kabelmanagement.
Good Question: How Do We Handle Growing Amounts of Data and the Energy Demand of Data Centers in Research?

Researchers today produce more data than ever before. At the same time, AI is increasing the energy requirements of data centers. How can both be organized responsibly? Professor Achim Streit explains why good research data management and new concepts for data centers go hand in hand.

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Hermann Merkel poses for a photograph.
A Doctorate Knows No Age

Would you still do a doctorate at 73? Hermann Merkel did, and five years later he can officially call himself “Doctor.” The former freight forwarder conducted research on e-highways at the KIT Institute for Material Handling and Logistics, often doubting himself in the process. In clicKIT, he explains what kept him going and why this period had such a profound impact on him.

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Autonomous four-wheeled robot with camera and sensors walking in a hallway.
Robot Dogs and Chatbots: KIT Students Shape the Digital Future

Every year, students compete in the Digital Future Challenge (DFC) to develop the best solutions for a digital future. This year, two KIT teams prevailed over 87 other ideas: the AI agent system “Ankommen” helps people navigate the bureaucratic landscape, and the robot dog “Sprout” helps reduce the use of chemicals in agriculture.

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Konrad Dittrich und Noah Geiger posieren jeweils für ein Foto.
From KIT to MIT: “Don't wait for someone to invite you”

What do robotics, artificial intelligence, and battery research have in common? For Noah Geiger and Konrad Dittrich, the answer is curiosity, initiative, and the courage to pursue international opportunities. Both studied at KIT, both sought to think outside the box, and both ended up at the Massachusetts Institute of Technology (MIT). This was not by coincidence, but through intentional decisions.

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Large indoor hall with many people in orange shirts working at desks, balloons everywhere.
In Search of the Right Algorithm

At the end of last year, the KIT dining hall was transformed into a competition arena: Over 400 students from 70 universities in 13 countries in northwestern Europe travelled there with their more than 150 coaches to take part in Europe’s largest in-person programming competition – the Northwestern Europe Regional Contest (NWERC).

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Taekwondo tournament in a gym with competitors, judges, and spectators on mats.
When the Campus Turns into a Competition Arena

133 participants from 53 universities competing against each other: The German University Championships (DHM) in taekwondo took place at KIT on November 29, 2025. The event was organized by two KIT students, Kaize Zhou and Jessica Wolf. In clicKIT, they share what made the competition day so special.

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Scientist analyzes a computer screen with a KI circuit diagram using a magnifying glass.
Good Question: How Can We Better Understand AI?

Artificial intelligence (AI) is now embedded in nearly every aspect of text, image, and video processing. Yet we often don’t fully understand how AI arrives at its results. This understanding is crucial if we want to use AI reliably in critical areas such as energy supply. That is precisely what tenure-track professor Benjamin Schäfer at KIT is working on.

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