relAI in DataFest

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For the 6th time already, LMU is organizing the DataFest Germany this year. From April 14th – 16th, teams of students will have the opportunity to work with a large set of real life data and analyze it to discover insights. At the same time, they will have the chance to meet with leaders and companies in the field of statistics. The best teams will be awarded prizes for best insight, best visualization and best use of outside data.

RelAI is proud to be supporting the organization of the event this year and will also be sending a team of students there to join this exciting competition and networking event.

We are pleased to announce the participation of our relAI fellows Prof. Sami Haddadin, Prof. Fabian Theis and Prof. Julia  Schnabel in the AI.BAY 2023 - Bavarian International Conference on AI.

At AI.BAY 2023, the Bavarian State Minister of Science, Markus Blume, the Minister for Digital Affairs, Judith Gerlach, and the Minister of Economic Affairs, Hubert Aiwanger invite participants to experience  the latest trends and the outstanding potential of AI at first hand. Together with leading representatives of the Bavarian AI Network and prestigious guests from abroad, the future of AI will be put into perspective and international developments will be presented. 

The conference will take place on February 23 and 24th, 2023, at the Deutsches Museum in Munich. Registration for online participation is still open!.  

Just in time for privacy day, the Transatlantic Privacy Perceptions Panel (TAPP), BERD@NFDI and relAI invite you to join the online discussion on perceptions, practices, and policies of digital privacy:

Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies

Save the date: January 26, 2023, 5.00 pm - 6.45 pm CET !

Registration is free: link

We are excited to announce that applications for the relAI PhD program are now open. Interested candidates can apply through our website. Deadline for applications is January 9th, 2023.

The novel, innovative PhD 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 be hired for three years, including social benefits (TV-L E13 of the German public sector). They are further supported by travel grants, e.g. for conference attendance or research stays. Doctoral students enrol at TUM or LMU depending on the hosting relAI fellow.

We encourage candidates with an excellent master’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.