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.
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.