CS@max planck: The Max Planck Graduate Center for Computer and Information Science
Just Landed
New Today
Max Planck doctoral positions in computer and information science CS@max planck: The Max Planck Graduate Center for Computer and Information Science in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Dec 15, 2026
Country
Germany
University
CS@max planck: The Max Planck Graduate Center for Computer and Information Science
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Meet Kite AI
More information can be found here
Keywords
Suggested scholarships
About this position
CS@max planck offers highly selective doctoral positions in computer and information science, hosted by the Max Planck Graduate Center for Computer and Information Science in Germany. The program is designed for students who want broad exposure across the computer science spectrum before committing to a specific topic and research advisor. Admitted students begin their studies at the Saarland Informatics Campus in Saarbrücken and then explore research through immersion labs at Max Planck Institutes and partner universities before selecting a final research direction.
The program covers the full breadth of computer and information science, with research areas including artificial intelligence, machine learning, algorithms, data mining, computer vision, cybersecurity, computer architecture, operating systems, distributed computing, human-computer interaction, programming languages, quantum computing, software engineering, and theory of computation. Students work with faculty at leading German research institutions, including the MPI for Informatics, MPI for Intelligent Systems, MPI for Software Systems, and associated universities.
All admitted students receive full financial support, making this a funded doctoral opportunity rather than a self-funded program. The environment is English-speaking, multicultural, and research intensive, with opportunities to collaborate across groups and to engage with world-class faculty across the participating institutes.
Eligibility is competitive. Applicants must have a Bachelor’s or Master’s degree in computer science or a closely related field from a top-tier institution and an outstanding academic record. Strong spoken and written English is required. TOEFL, IELTS, or Cambridge Test scores are required unless exempt through native-level English background or substantial prior education in English. GRE scores are encouraged, and prior research experience is welcome but not mandatory.
The application window is open from 1 September 2026 to 15 December 2026. Applications are submitted online and must include a CV, transcripts, statement of purpose, and contact details for at least two referees. References are requested later in the review process for shortlisted candidates. If you are interested in a funded PhD in a broad, interdisciplinary computer science environment in Germany, this program is a strong option.
Funding details
Available
What's required
Applicants must hold a Bachelor’s degree or a Master’s degree in computer science or a closely related field from a top-tier institution and have an outstanding academic record, typically at or near the top of their class. Strong proficiency in spoken and written English is required. English test scores (TOEFL, IELTS, or Cambridge Test) are required unless the applicant is a native speaker or has received a significant part of their education in English. Strong letters of recommendation are expected; prior research experience is welcome but not required. GRE scores are encouraged.
How to apply
Apply only through the online application system. Submit a CV, transcripts, statement of purpose, contact information for at least two referees, and English test scores if required. Ensure the application is complete before submission; completed applications can be updated later, including adding an additional reference.
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.