AI & Data Science talents in dialogue with industry at the Munich Career Fair 2026

News

At our second Munich Career Fair AI & Data Science, we again connected students and doctoral researchers with the Munich Data Science Institute (MDSI) and relAI industry partners. The event gave students from TUM and LMU the opportunity to explore career paths and speak directly with company representatives working in artificial intelligence and data science.

The Career Fair AI & Data Science took place at TranslaTUM on 29 October 2026. 14 industry partners introduced the various career options and research fields that Master’s and PhD students could pursue at their companies. Organized by the Munich Data Science Institute (MDSI), the Konrad Zuse School of Excellence in Reliable AI (relAI), and the Munich Center for Machine Learning (MCML), the event connected the brightest minds in the Data Science ecosystem. To sum up the goal of our Career Fair in the words of Timo Schirmers (PhD, GE HealthCare): “Build a network!”

From AI in healthcare to smart retail
The participating companies gave short presentations providing insights into their work, exciting current AI and data science projects, and career opportunities. The industry partners covered a broad range of applications, including computer vision, reliable AI, credit risk modeling, smart retail, cybersecurity, accounting data, healthcare, and industry AI. 
After the presentations, the focus was on personal exchange. Students and doctoral researchers took the opportunity to meet company representatives in the TranslaTUM foyer for more in-depth conversations.

Promising conversations between talents and companies
The strong interest went both ways. The participating companies were very happy with the students’ high level of qualification and their strong interest in AI and data science. Company representatives reported many promising conversations with students and doctoral researchers, highlighting the quality of the exchanges and the audience's enthusiasm.
The students, on the other hand, were very happy to gain firsthand insights and experiences across so many branches of AI applications. They made extensive use of networking opportunities to build personal contacts and to connect in this encouraging format.

The Munich Career Fair AI & Data Science 2026 once again provided a valuable platform to bring together highly qualified talent and industry, creating opportunities for personal connections and broadening perspectives on future careers and collaborations in AI and data science.

👉Check out the MDSI post for the photo gallery.

A heartfelt thank you to our industry partners!

A warm welcome to relAI’s fifth cohort!

On 15 October, the relAI community came together to welcome our new PhD and MSc students at relAI Welcome Day 2026.

The day kicked off with an introduction by relAI Director Prof. Dr. Stephan Günnemann, followed by an overview of the program’s administrative and curricular details from the relAI Management Team.

In the afternoon, a lively, interactive networking session gave students a chance to get to know one another and discover more about relAI. A big thank you to student representative Somayeh Mahmoudi and first-cohort student Mohamed Amine Ketata for leading the session!

The conversations continued over dinner, with more relAI students and fellows joining to welcome the new cohort and exchange scientific ideas.

Welcome to the relAI community—we look forward to the ideas, connections and collaborations ahead!

🎉Congratulations!

We are proud to announce that our relAI Director, Prof. Gitta Kutyniok, has been elected a member of acatech – the National Academy of Science and Engineering.

Founded in 2002 and established as the German Academy of Science and Engineering in 2008, acatech independently represents the interests of Germany’s technical sciences, both nationally and internationally, guided by the common good. As a working academy, it advises policymakers and the public on forward-looking issues in the technical sciences and technology policy.

This is a significant recognition of Prof. Kutyniok’s leadership. We are confident that her mathematical perspective will make an invaluable contribution to acatech’s work.

AI, curiosity, and lots of smart questions at Maus-Tag on the TUM Campus!

At Maus-Tag at TUM Campus, relAI had the pleasure of showing young visitors that AI is not just something to use, but something to question, explore, and understand.

Guided by relAI PhD student Max Beier, and relAI coordinator Anja Woracek, first thing our young visitors learned about was gradient descent. They explored this key machine learning concept through the KI-Campus "Ship & Treasure" game, discovering how AI learns step by step to find the best solution, just like navigating toward a hidden treasure.

Then, the kids trained their own image classification models with fruits. They recorded images, trained the model, and then immediately started testing its limits: What happens if we show a different object? Why does the model get it right? Why does it get it wrong? The list of questions was long!

What impressed us most was the kids scientific mindset. They didn't simply trust the AI's predictions. They experimented and challenged the system. Real little researchers and critical thinkers.

Want to try it yourself?

🍎 Teachable Machine: https://teachablemachine.withgoogle.com/
⚓ Gradient Descent Game: https://ki-campus.org/simulations/gradient-descent

We are deeply grateful to the organizers, especially Dr. Isabella Almstätter from MDSI, whose support made the day possible. A big thank you to  relAI student Max Beier for sparking curiosity and plenty of "aha!" Moments among the kids throughout the day.

Most of all, a huge shout-out to all the curious kids who joined us on this AI adventure. Your questions, creativity, and willingness to challenge the models reminded us what great research is all about. The future of AI is in good hands.

👉 Visit the MDSI website for more details and picture gallery: From molecules to machines: A hands-on journey through science - Munich Data Science Institute 

On November 9, 2026, starting at 6:15 PM, the annual LMU AI Symposium will be held in the Great Hall (Große Aula) of LMU Munich. This event is organized by AI-HUB@LMU in collaboration with relAI and will be followed by a reception in the Lichthof. We anticipate welcoming approximately 500 guests from academia, industry, politics, and society.

As in previous years, a central highlight will be the pitch talks by our newly appointed AI professors, showcasing the breadth and diversity of AI research at LMU.

Further highlights of the program include:

  • A keynote by relAI Fellow Prof. Dr. Stefan Feuerriegel on “Scientific Discovery in the AI Age”
  • A panel discussion on “Prompt or Perish? Generative AI and the University Teaching of Tomorrow”
  • A talk by LMU Vice President Dr. Philipp Baaske entitled “IP Transfer@LMU: worry-free and fast”
  • The AI-HUB@LMU Awards Ceremony, supported by the Münchener Universitätsgesellschaft

You can find the full program and registration details here: KI-Symposium 2026 - AI-HUB@LMU - LMU München

We would be delighted to welcome many of you to this event! 

As in the previous edition, relAI was present this year at the TUM Open Campus Day at Forschungscampus Garching on 3rd October 2026.

Throughout the day, a lively mix of visitors—families, students, people of all ages—stopped by our stand, eager to discover what relAI is all about. Guests got hands-on with AI, training their own neural networks and exploring intriguing concepts like Simpson's Paradox and the secrets behind how AI makes decisions.

We are deeply grateful to the organizers, especially Dr. Isabella Almstätter from MDSI and Dr. Gihanna Galindez, whose support made the day possible. A big thank you to the relAI Coordinators, to relAI Student Muhammad ElMahdy for his enthusiasm, and to relAI Students Sameer Ambekar, Julian Balletshofer, Sarah Lumpp, Amine Ketata, Maria Matveev, Daniela Schkoda, and Richard Schwank for providing  the games for the event. Most of all, we appreciate everyone who stopped by out of curiosity and joined us on the adventure of exploring AI.

👉 Visit the MDSI website for more details and picture gallery: https://go.tum.de/394618

 

We are excited to announce that Shafi Goldwasser, one of the co-founders of modern cryptography, will share her insights at the upcoming Munich AI Signature Lecture. Don't miss the chance to attend her talk!

Title: A Cryptographic Perspective on Machine Learning Trustworthiness Challenges

📅 Tuesday, October 20, 2026, 6:00 pm

📍 Plenary Hall, Bavarian Academy of Sciences and Humanities (BAdW), Munich

About the Speaker

For her groundbreaking work, Shafi Goldwasser received the ACM Turing Award in 2012, the highest honor in computer science; she has also been awarded two Gödel Prizes and is a member of the National Academy of Sciences and the Royal Society.

About the Lecture

In her lecture, Goldwasser explores how cryptographic methods can contribute to trustworthy machine learning.

For decades, cryptographic tools and models have helped make technology platforms trustworthy, even under worst-case assumptions about potential attackers. Goldwasser demonstrates how methods from cryptography and interactive proofs can be used to address trustworthiness challenges at various stages of the machine learning pipeline.

Additional Information

For more info on the lecture and Prof. Goldwasser, please click here

The lecture will be delivered in English

The lecture will also be available via LIVESTREAM on YouTube (no registration needed).

For any question on your participation please contact Annika Mader, events@baiosphere.org

🎉Congratulations!

We are proud to announce that relAI MSc students Nikolai Röhrich and Isabell Hans have received the 🏆 Best Paper Award 🏆 at the German Conference on Pattern Recognition (GCPR) for their paper titled “Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation.”

The article introduces Concept Guidance (CoG), a method that improves control over specific visual concepts in text-to-image diffusion models without requiring retraining, external models, or prompt engineering. 🧐If you are interested in learning more about CoG, you can read the full publication here: https://arxiv.org/abs/2608.14172

👉 More Information about the prize: https://lnkd.in/p/gu6n_yig

On September 22, researchers from relAI, MDSI, and our industry partner SAP came together at the SAP Labs Munich Campus in Garching for the second edition of our Pitchtalks Session.

The event, chaired by Dr. Tobias Müller (SAP), opened with welcoming remarks from Sylvia Kortüm, Managing Director of MDSI, and Dr. Anja Woracek, the new relAI Coordinator. relAI and MDSI researchers then presented their work, followed by lively discussions and networking opportunities.

🌟Highlights from the scientific presentations included:

• Bhavatarini Kumaravel (MDSI) exploring graph-based deep reinforcement learning for structural design

• Annika Schneider (relAI) presenting research on uncertainty quantification in probabilistic models

• Sameer Ambekar (relAI & MDSI): discussing distribution shifts in vision-language models

🤝 The networking session provided an excellent opportunity for researchers and industry experts to exchange ideas, discuss current and emerging challenges in AI, and explore future collaborations.

A big thank you to SAP for hosting and organizing this inspiring event. We look forward to continuing to strengthen the connection between cutting-edge AI research and industry practice in future editions.

🚀 Meet your future employer in AI & Data Science!

We are excited to announce the second Munich Career Fair AI & Data Science 2026 on 29 October 2026 at TranslaTUM, Munich, organized by MDSI, relAI, MCML, and AI HubLMU!

Event Details

📅 Date and Time: 29 October 2026, 2 – 5 pm

📍 Location: TranslaTUM at Klinikum rechts der Isar, Einsteinstraße 25 (Bau 522), 81675 Munich

👉 Agenda and registration: https://go.tum.de/801990

This unique career fair brings together 13 leading industry partners and students from bachelor's, master's, and doctoral programs who are passionate about Artificial Intelligence, Machine Learning, and Data Science.

Take the chance to

🔹 Learn about cutting-edge AI and data science projects
🔹 Discover internships, theses, and career opportunities
🔹 Connect with company representatives directly
🔹 Explore career paths across consulting, technology, research, and industry