Study in Germany | Technical University of Munich Fully Funded PhD Scholarships 2026
The Technical University of Munich (TUM), one of Europe’s leading research institutions, is now accepting applications for fully funded PhD positions in Computer Science and Artificial Intelligence for 2026. These prestigious research positions invite ambitious and creative thinkers from around the world to contribute to groundbreaking discoveries in AI, decision sciences, and computational systems.
Research at the Frontier of Artificial Intelligence
The positions are based at TUM’s Garching campus within the Chair of Decision Sciences and Systems, directed by Prof. Martin Bichler. Selected researchers will join a dynamic team working on an innovative project funded by the ERC Advanced Grant titled “Equilibrium Learning, Uncertainty, and Dynamics.”
This program offers an exciting opportunity for candidates eager to explore agentic AI, online learning, optimization, and their applications in economics and computational systems. Also, doctoral researchers will collaborate with experts across multiple disciplines to solve complex challenges at the intersection of machine learning, decision theory, and applied mathematics.
At TUM, students benefit from a research ecosystem that combines academic rigor, practical applications, and access to world-class facilities.
Eligibility Criteria
Candidates who wish to apply for the TUM PhD positions must meet the following requirements:
- Hold a Master’s degree in Computer Science, Information Systems, Mathematics, or a closely related discipline
- Possess an excellent academic record and strong research potential
- Demonstrate an analytical and curiosity-driven mindset
- Show the ability to collaborate effectively across disciplines and cultures
- Lastly, have proficiency in English (both spoken and written); knowledge of German is not required
These requirements ensure that selected scholars can thrive in TUM’s globally diverse and research-intensive environment.
Work Conditions and Benefits
The successful candidates will join TUM as full-time researchers under the German public sector pay scale (TV-L E13). Compensation depends on qualifications and experience, ensuring fair and competitive pay.
Additional benefits include:
- A two-year contract with the possibility of an extension up to four years based on performance
- Full research funding, including travel and conference support
- Access to TUM’s high-tech laboratories, computing infrastructure, and interdisciplinary networks
- Opportunities to collaborate internationally and publish in top-tier journals
This program offers both professional growth and global exposure, making it an ideal start to a long-term research career.
Research Environment at TUM
Located in Garching, one of Europe’s most advanced science and technology hubs, TUM provides a collaborative and inclusive setting. The TUM School of Computation, Information, and Technology (CIT) brings together experts in theoretical computer science, data systems, and applied mathematics.
Doctoral researchers benefit from mentoring by renowned faculty members, access to innovation-driven research clusters, and opportunities to work on real-world applications of AI and optimization.
Application Process
To apply for the TUM PhD program, candidates must prepare and submit the following documents:
- A detailed CV
- Academic transcripts
- A list of publications (if applicable)
The selection committee will begin reviewing applications on October 30, 2025, and will continue until all positions are filled.
Important Dates
- Application deadline: December 15, 2025
- Program start date: January 1, 2026 (or later by mutual agreement)
Applicants should submit materials early to ensure timely consideration.
Why You Should Apply
The TUM PhD Program in Computer Science and AI offers more than funding—it offers a gateway to world-class research, mentorship, and innovation. Students will engage in transformative projects that shape the future of AI, optimization, and computational decision-making.
For ambitious researchers ready to explore, innovate, and lead in the digital age, this opportunity at the Technical University of Munich is the perfect next step.
