Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI)
A fully funded PhD programme in reliable artificial intelligence at LMU Munich, offering interdisciplinary research and structured mentorship.
Best for:Best for researchers with a strong background in computer science, mathematics, engineering, or related data science disciplines, seeking a fully funded PhD opportunity in reliable AI with interdisciplinary collaboration and mentorship.
Overview
The Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI) is a fully funded doctoral programme at Ludwig-Maximilians-Universität München (LMU), in collaboration with Technische Universität München (TU Munich). This programme focuses on advancing reliable AI through structured research, interdisciplinary collaboration, and comprehensive mentorship. Participants engage in coursework, gain expertise in AI reliability, and contribute to relAI activities. The programme supports diverse academic backgrounds and provides stipends, travel grants, and career development opportunities, ensuring doctoral researchers excel in their field.
What you'll do
- Conduct independent and structured research in reliable artificial intelligence under the guidance of academic and industry mentors.
- Earn credits through subject-related courses to fulfill the relAI curriculum requirements.
- Participate in relAI activities, including interdisciplinary workshops and conferences.
- Engage in collaborative projects with partners in Germany and abroad.
- Develop expertise in AI reliability through mentorship and structured training programs.
- Present research findings at academic conferences and contribute to peer-reviewed publications.
Requirements
Degree required: Excellent Master's degree in computer science, mathematics, engineering, natural sciences, or a related field such as data science, machine learning, or artificial intelligence.
Degree offered: PhD
Language: English; C1 level required (official certificate required, e.g., Cambridge English Qualifications: C1 Advanced). German at A1 level recommended but no proof required.
Instruction: English (with some German courses available)
- Proven academic excellence in a relevant field.
- Strong background in computer science, mathematics, or engineering.
- Ability to conduct independent research in AI reliability.
- Proficiency in English at C1 level (verified by an official certificate).
- No nationality restrictions mentioned.
- No residency requirements specified.
- No age limits mentioned.
- No prior experience caps mentioned.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Applicants must submit their application through the official relAI website. The application process involves providing an official English language certificate (C1 level), academic transcripts, and other relevant documents. Detailed instructions and application forms are available on the relAI website.
- Official English language certificate (C1 level)
- Master's degree transcripts and diploma
- CV/resume
- Motivation letter or research proposal
- Letters of recommendation (number not specified)
Contact
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