Munich Career Fair AI & Data Science 2025

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.

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.

 Event Details

📅 Date and Time: October 23, 2025, 2 to 5 pm

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

📝 RegistrationRegistration is open now! Please request a ticket here.

Agenda

TimeAffiliationSpeakerTalk title
14:00OrganisorsDr. Thomas Müller
Dr. Andrea Schafferhans
Welcome
14:05CelonisNiclas SabelThe Power of Agentic AI: Driving Organizational Transformation and Efficiency
14:20DENSOBrian Hsuan-Cheng LiaoThe Development of Reliable AI-Driven Vehicles in DENSO
14:35DiehlCaroline Mücke
Joel Eichberger
Matthew Schwind
AI at Diehl - Implementing AI in a diversified technology group
14:50GE HealthcareDr. Timo SchirmerThe Human Algorithm in Healthcare: Careers and AI in Times of Disruption
15:05GoogleIrina Stambolska Google AI, Data Science and Careers
15:20ImfusionDr. Raphael PrevostEnabling Rapid Innovation in Medical Imaging with AI
15:35MunichReKarolina StosioData & AI @ Munich Re
15:50QuantCoCarolin ThomasQuantCo
16:05SAPYichen LouTowards Intelligent Enterprise Systems - AI @ SAP
16:20ThyssenkruppDr. Nikou GünnemannKI@thyssenkrupp
16:35ZeissDr. Florent MartinAI and ML in ZEISS