Career Fair
Munich Career Fair AI & Data Science 2026
Meet Industry Partners in AI, Machine Learning, and Data Science
29.10.2026
2:00 pm - 5:00 pm
TranslaTUM, Klinikum rechts der Isar
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 second Munich Career Fair AI & Data Science at TranslaTUM on October 29, 2026. 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 the second Munich Career Fair AI & Data Science 2026, taking place on October 29, 2026, at TranslaTUM. This year, the event will bring together 13 industry partners and students from bachelor’s and master’s programs, as well as doctoral researchers.
The fair aims to connect talent at different stages of their academic journey with industry representatives and to showcase the diverse career opportunities in artificial intelligence and data science within Munich’s vibrant innovation ecosystem. The participating companies will present their work and initiatives in AI and data science through a dedicated overview talk, offering insights into current projects and career pathways. The program will also provide ample opportunities for networking and direct interaction with company representatives, both in the TranslaTUM foyer and in dedicated meeting rooms designed to facilitate more in-depth conversations.
List of industry partners:
- conet Holding GmbH
- Data Reply
- eigenblue GmbH
- KPMG AG Wirtschaftsprüfungsgesellschaft
- Lidl Stiftung & Co. KG
- Nuno Labs
- QuantCo Deutschland GmbH
- revel8
- Roland Berger Holding GmbH & Co. KGaA
- SAP Deutschland SE & Co. KG
- SuperPandas Analytics
- TUM International GmbH
- Carl Zeiss AG
Agenda
2:00 pm – 2:05 pm
Welcome
Sylvia Kortüm (MDSI)
Dr. Anja Woracek (relAI)
2:05 pm – 2:10 pm
TUM mentorING-Programm – support female talents
Stella Neuhofen
(TUM International)
2:10 pm – 2:20 pm
Who watches the agents? Building a control plane for reliable AI
Christoph Hoffmann
(conet)
2:20 pm – 2:30 pm
Shopfloor computer vision: how good models enable reliability
Loic Kuntz, Antonio Di Turi, Ariane Elmer, Sabrina Mayer
(Data Reply)
2:30 pm – 2:40 pm
AI in Engineering
Sara Hajmohammadalitorkabadi
(eigenblue)
2:40 pm – 2:50 pm
break
2:50 pm – 3:00 pm
Challenging Credit Risk Models Using Machine Learning
Philipp Zehetner
(KPMG)
3:00 pm – 3:10 pm
Smart Retail - Data Science @Lidl
Josephine Schmitting
(Lidl)
3:10 pm – 3:20 pm
Making the sky readable
Nick Dienemann
Nuno Labs
3:20 pm – 3:30 pm
tba
Tom Beeken
(revel8)
3:30 pm – 3:40 pm
break
3:40 pm – 3:50 pm
tba
tba
(Roland Berger)
3:50 pm – 4:00 pm
tba
Dr. Tobias Müller
(SAP)
4:00 pm – 4:10 pm
From Compliance to Advisory: A New Era for Accounting Data
Harris Jabbar
(SuperPandas Analytics)
4:10 pm – 4:20 pm
AI @ ZEISS: Imaging Excellence meets Advanced Computer Vision
Dr. Konstantin-Klemens Lurz
(Zeiss)
Organized by:
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