The relAI Konrad Zuse School of Excellence in Reliable AI is now accepting applications for its 2025 PhD program, jointly organized by Ludwig-Maximilians-Universität München (LMU) and Technical University of Munich (TUM), and funded by the DAAD German Academic Exchange Service. This interdisciplinary program focuses on reliable artificial intelligence, offering research opportunities at the intersection of machine learning, mathematics, engineering, and the responsible development of AI systems. Research areas include AI safety, security, privacy, responsibility, algorithmic decision-making, robotics, healthcare, and mathematical foundations. PhD candidates benefit from a vibrant academic environment, professional development, and close collaboration with leading researchers at both LMU and TUM. Each doctoral researcher is supervised by a relAI Fellow and enrolls at either LMU or TUM, depending on the supervisor's affiliation. Notable relAI Fellows and spokespersons include Prof. Gitta Kutyniok (LMU Director of relAI School), Prof. Frauke Kreuter, Prof. Eyke Hüllermeier, Prof. David Rügamer, Prof. Albrecht Schmidt, Prof. Hinrich Schuetze, Prof. Volker Tresp, Prof. Solveig Vieluf, and Prof. Stephan Günnemann. Funded positions offer a full three-year salary (TV-L E13) and additional support such as travel grants for conferences or research stays. Applicants must hold an excellent master's degree (or equivalent) in computer science, mathematics, engineering, natural sciences, or other data science/machine learning/AI-related disciplines. A strong interest in reliable AI, including safety, security, privacy, or responsibility, is required. Proof of English proficiency at level C1 or equivalent (or proof that the degree was taught mainly in English) is mandatory. Application materials include a CV, diplomas, transcripts, a short motivation statement, choice of two preferred relAI Fellows as supervisors with explanations, names and addresses of two referees for recommendation letters, and proof of English proficiency. The application deadline is January 13, 2026. For more information and to apply, visit the official relAI application portal.