Call For Applications: 2025 Fully Funded PhD In Data Science At Munich School For Data Science (MUDS) -

About the Fully Funded PhD in Data Science at MUDS

Are you a data-driven thinker with a strong background in computer science, applied mathematics, or data science? Do you aspire to explore the frontiers of data innovation while contributing meaningful impact through your research? The Munich School for Data Science (MUDS) invites applications for its prestigious, fully funded PhD positions for the 2025 cohort.

This is an exciting opportunity for exceptional candidates looking to engage in interdisciplinary research across renowned German institutions. Applications are currently open, but the deadline is fast approaching on May 6, 2025.

The Munich School for Data Science (MUDS) is a collaborative graduate program that brings together some of Germany’s most respected research organizations, including Helmholtz Munich, the Technical University of Munich (TUM), Ludwig Maximilian University of Munich (LMU), and the German Aerospace Center (DLR).

MUDS offers a structured PhD training program designed for students who want to work at the interface of applied data science and real-world research applications. The program provides students with access to world-class research facilities, mentorship from leading academics, and opportunities to work on high-impact projects in areas like earth observation, medicine, robotics, and more.

Eligible Fields

The PhD program welcomes applications from students in the following fields, especially those with a strong computational focus:

Computer Science
Data Science

Applied Mathematics
Bioinformatics
Geoinformatics

Robotics
Earth Observation
Medicine and Life Sciences

Interdisciplinary research areas that integrate computational and data-driven methodologies are particularly encouraged.

Eligibility Criteria

To be considered for admission into the PhD program, applicants must meet the following criteria:

Hold a Master’s degree (or equivalent) in Computer Science, Applied Mathematics, or a related computational discipline

Demonstrate a strong foundation in data analysis, machine learning, algorithm design, or scientific computing
Exhibit a clear interest in interdisciplinary research and how data science can be applied to real-world scientific challenges

A background in relevant software tools, programming languages, and research experience will be considered an added advantage.

Selection Criteria

The selection process is rigorous and merit-based. Candidates will be assessed based on:

Academic excellence and research background
Compatibility with MUDS research themes and partner institutions

Potential for research impact and innovation
Clarity and motivation in their statement of purpose
Letters of recommendation and previous research experience

Shortlisted applicants may be invited for interviews or further assessments as part of the selection process.

Eligible Countries

This opportunity is open to applicants from all nationalities. MUDS strongly supports international mobility and diversity in scientific research. Whether you are based in Europe, Asia, Africa, or the Americas, you are encouraged to apply if you meet the academic and professional requirements.

Benefits of the Fully Funded PhD in Data Science at MUDS

MUDS offers one of the most attractive and comprehensive funding packages for doctoral research in data science:

Full funding for a duration of three years
Monthly stipend to cover living expenses
Tuition fee waivers and health insurance coverage

Access to cutting-edge computational infrastructure and research labs
Opportunities to attend and present at international conferences
Participation in retreats, advanced training workshops, and soft skills seminars

Mentorship by leading scientists from partner institutions and industry experts

The PhD program is structured to support the academic and professional development of each student, with flexibility to pursue both theoretical and applied research.

How to Apply

Interested candidates should prepare and submit their applications via the official MUDS online portal. The application process typically includes:

A complete online application form
Academic transcripts and degree certificates
Curriculum Vitae (CV)

Statement of research interests and motivation
Letters of recommendation from academic referees
Proof of English proficiency (if applicable)

If you are passionate about shaping the future of data science through impactful research, do not miss this opportunity to join a vibrant and collaborative community at one of Europe’s most advanced data science hubs.