PhD Positions in Reliable Artificial Intelligence at Konrad Zuse School of Excellence (relAI) Ludwig-Maximilians-Universität München in Germany

The Konrad Zuse School of Excellence in reliable AI (relAI) at Ludwig-Maximilians-Universität München offers fully funded PhD positions for doctoral researchers interested in advancing the field of reliable artificial intelligence. This interdisciplinary programme welcomes applicants from diverse backgrounds, including computer science, mathematics, engineering, natural sciences, and other data science, machine learning, or AI-related disciplines. The relAI certificate requires PhD candidates to earn credits in subject-related courses, gain relevant expertise, and participate in relAI activities, with detailed curriculum information available on the programme website.

PhD students benefit from close mentoring by academic and industry fellows, as well as stipends for conference travel and additional support from the GraduateCenter. The programme features international elements, including collaborative projects with partners in Germany and abroad, and is supported by DAAD development-related postgraduate funding. Structured research and supervision, as well as research training and discussion opportunities, are integral to the relAI experience.

There are no tuition fees for this programme, and fully funded positions are available, including LMU Travel Grant and LMU Completion Grant. The International Office provides assistance with accommodation for visiting academics, PhD students, and postdocs, with rooms in shared flats typically costing 400-600 EUR per month in central Munich. The programme is full-time, lasts six semesters, and applications are accepted at any time, with a January deadline for each cycle. English is the primary teaching language, and participants can fulfil all requirements in English, though some German courses are available.

Applicants must hold an excellent Master's degree in a relevant discipline and demonstrate English proficiency at C1 level or equivalent. For further information and to apply, visit the relAI application portal. Additional details about accommodation and programme structure can be found on the university website.