Munich Career Fair AI & Data Science 2025

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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

📝 Registration: Registration has meanwhile closed.

Agenda

TimeAffiliationSpeakerTalk title
14:00OrganisorsDr. Thomas Meier
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
14:35DiehlAriane Jesussek
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 Lou
Shalvi Mahajan		Towards Intelligent Enterprise Systems - AI @ SAP
16:20ThyssenkruppDr. Nikou GünnemannAI @ thyssenkrupp
16:35ZeissDr. Florent MartinAI and ML in ZEISS

We are excited to announce that applications for the relAI Master program are now open. Interested candidates can apply through our website. Deadline for applications is June 16th, 2023.

The novel, innovative MSc relAI program offers a cross-sectional training for successful education in AI including scientific knowledge, professional development courses and industrial exposure, providing a coherent, yet flexible and personalised training.

Funded applicants will receive a stipend of up to 934 EUR (depending on independent income). We expressly encourage international students to apply. They will be further supported by travel grants for home travel.

We encourage candidates with an excellent bachelor's degree (or equivalent) in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines and a genuine interest to work on a topic of reliable AI to apply (in parallel to applying for a master program at TUM or LMU).

On December 1st, relAI director Prof. Stephan Günnemann was awarded the Heinz Maier-Leibnitz Medal. TUM presents its highest scientific award to individuals who, through their exceptional achievements in science, technology or medicine, have rendered a great service to the university in their capacity as outstanding lecturers and researchers.
The relAI team congratulates Prof. Günnemann on this recognition of his work and is proud to be headed by this distinguished scientist.