Skip to content
Technical University of Munich

News

Munich Career Fair AI & Data Science 2025

PhD Program, Event, Top |

The Munich Data Science Institute (MDSI), the Konrad Zuse School of Excellence in Reliable AI (relAI), the Munich Center for Machine Learning (MCML), and the AI Hub@LMU are organizing the Munich Career Fair AI & Data Science at TranslaTUM on October 23, 2025. The event is tailored to companies and students (bachelor's, master's, and doctoral candidates) who are interested in AI, ML, and data science.

Logo for the Munich Career Fair focused on AI and data science, featuring a magnifying glass with a gear and circuit design symbolizing technology and engineering.

We are pleased to announce that the first Munich Career Fair AI & Data Science 2025 will take place on October 23, 2025, at TranslaTUM. This year, we welcome eleven industry partners and students in bachelor's and master's programs, as well as doctoral candidates. The aim is to connect students at various stages of their education with industry representatives and to highlight career prospects in the field of AI and data science in the Munich ecosystem.

Each industry partner will present its activities in the field of AI and data science in an overview talk and introduce the associated career opportunities. In addition, there will be plenty of time and space for networking and personal exchange in the foyer of TranslaTUM and in separate meeting rooms.

 

Date: October 23, 2025, 2 to 5 pm

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

Registration: Please register here!

Agenda

Affiliation Speaker Talk title
2 pm Organizors Dr. Thomas Müller
Dr. Andrea Schafferhans 		Welcome
2:05 pm Celonis Niclas Sabel The Power of Agentic AI: Driving Organizational Transformation and Efficiency
2:20 pm DENSO Brian Hsuan-Cheng Liao The Development of Reliable AI-Driven Vehicles in DENSO
2:35 pm Diehl Ariane Jesussek
Joel Eichberger
Matthew Schwind 		AI at Diehl - Implementing AI in a diversified technology group
2:50 pm GE Healthcare Dr. Timo Schirmer The Human Algorithm in Healthcare: Careers and AI in Times of Disruption
3:05 pm Google Irina Stambolska Google AI, Data Science and Careers
3:20 pm Imfusion Dr. Raphael Prevost Enabling Rapid Innovation in Medical Imaging with AI
3:35 pm MunichRe Karolina Stosio Data & AI @ Munich Re
3:50 pm QuantCo Carolin Thomas QuantCo
4:05 pm SAP Yichen Lou Towards Intelligent Enterprise Systems - AI @ SAP
4:20 pm Thyssenkrupp Dr. Nikou Günnemann KI@thyssenkrupp
4:35 pm Zeiss Dr. Florent Martin AI and ML in ZEISS
◄ Back to: News
To top