top of page
  • Facebook
  • Pinterest

DAAD - relAI Master's Scholarships in Reliable Artificial Intelligence 2025

  • Writer: Omran Aburayya
    Omran Aburayya
  • Jun 4
  • 2 min read

If you're passionate about building ethical, secure, and trustworthy AI systems, the DAAD Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI) is now accepting applications for its 2025 Master's scholarship program. This prestigious initiative, hosted by the Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU), offers a unique opportunity to engage in cutting-edge research and interdisciplinary training in the field of reliable AI.

🎓relAI Scholarship Summary

  • Location: Garching, Germany

  • Host Institutions: Technical University of Munich (TUM) and Ludwig Maximilian University of Munich (LMU)

  • Study Level: Master's

  • Target Group: Highly qualified (current or prospective) Master's students with excellent Bachelor's results

  • Fields of Study: Artificial Intelligence, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, Natural Sciences

  • Coverage: Monthly allowance of up to €992, plus potential travel grants

  • Duration: 24 months

  • Application Deadline: June 17, 2025 (23:59 AOE)

  • Start Date: Spring or Autumn 2025

  • Eligibility: International students meeting academic and language proficiency requirements

🧠 Scholarship Overview

The relAI program focuses on the development of reliable AI systems, emphasizing aspects such as safety, security, privacy, and responsibility. It integrates mathematical and algorithmic foundations with domain knowledge in key application areas:

  • Medicine and Healthcare

  • Robotics & Interacting Systems

  • Algorithmic Decision-Making

Students will benefit from a coherent yet flexible training structure that includes scientific knowledge, professional development courses, and industrial exposure. The program aims to foster internationalization and diversity in AI-related teaching.

🎁 Scholarship Benefits

  • Monthly stipend of up to €992

  • Additional support through travel grants

  • Access to interdisciplinary coursework and expert supervision

  • Networking opportunities with leading researchers and industry partners

  • Exposure to real-world AI challenges with a focus on societal impact

✅ Eligibility Criteria

Applicants must:

  • Hold an excellent Bachelor's degree in a relevant field

  • Demonstrate a genuine interest in reliable AI, covering aspects such as safety, security, privacy, and responsibility

  • Be enrolled or in the process of applying to an MSc program at TUM or LMU in a related discipline

  • Provide proof of English language proficiency at level C1 or equivalent

📝 Application Procedure

To apply, candidates must:

  1. Submit an application through the relAI application portal

  2. Provide the following documents:

    • Curriculum Vitae (CV)

    • Copies of relevant diplomas and transcripts (interim transcripts accepted if studies are ongoing)

    • Short motivation statement (up to 1,500 characters) highlighting previous experience and interest in reliable AI

    • Proof of English language proficiency

  3. Ensure parallel application to a relevant MSc program at TUM or LMU, as acceptance into these universities is a condition for receiving the relAI scholarship


⚠️ Important Note: Applicants do not need to wait for confirmation of acceptance into TUM or LMU before submitting the relAI scholarship application. Offers from relAI will be made subject to admission into one of the eligible MSc programs.


📅 Application Timeline

  • Application Deadline: June 17, 2025 (23:59 AOE)

  • Screening Period: June – August 2025

  • Notification of Decisions: August 2025

  • Second-Tier Notifications (if applicable): By the end of September 2025


ℹ️ For more information and to apply, please visit the official relAI webpage



🔗 OFFICIAL DAAD LINK


Donate with PayPal

If you found our content helpful, and to keep this experience Ad-Free, Please consider donating to keep our content growing. Thank You!
 

Help us grow. Catch us on Facebook!

  • Facebook

Join our mailing list

Thanks for subscribing!

bottom of page