1 December 2022 | The Konrad Zuse School of Excellence in Reliable AI (relAI) aims to train future generations of artificial intelligence experts who combine technical brilliance with awareness of the importance of AI’s reliability. The relAI school is embedded in the unique transdisciplinary Munich AI ecosystem, combining the expertise of the two Universities of Excellence Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU), and integrates various AI centres of leading universities worldwide and industry partners.
What the relAI PhD programme offers
The novel, innovative PhD relAI programme 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.
Eligibility
Excellent master’s degree (or equivalent)* in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines.
Applicants should have a genuine interest to work on a topic of reliable AI covering aspects such as safety, security, privacy and responsibility in one relAI’s research areas Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare or Robotics & Interacting Systems.
Application and further information
Please find further information regarding the school and its programme here. Deadline for applications is 9 January 2023.
