PhD Positions at KIT Graduate School Computational and Data Science (KCDS) – DAAD GSSP Scholarships Karlsruhe Institute of Technology in Germany

The KIT Graduate School Computational and Data Science (KCDS) at the Karlsruhe Institute of Technology offers an exceptional interdisciplinary doctoral program for researchers interested in computational and data-driven science. As part of the KIT Center MathSEE, KCDS provides a vibrant academic environment where doctoral candidates can bridge mathematical sciences with natural sciences, engineering, and economics through innovative research projects.

This program is designed for those eager to tackle global challenges using advanced computational methods, including mathematical modeling, simulation techniques, and data science. Research topics span a wide spectrum, from logic in autonomous cyber-physical systems to machine learning applications in Earth System models. Each doctoral researcher is supervised by two experts—one from mathematical sciences and one from an applied discipline—ensuring a well-rounded, interdisciplinary mentorship experience.

KCDS fosters a dynamic community, offering hands-on training in small groups, summer schools, networking events, and hackathons/datathons. The school is committed to diversity, equal opportunities, and supporting researchers with family or disability responsibilities. Doctoral candidates benefit from access to KIT’s excellent facilities, flexible working models, and an internationally recognized scientific environment.

Currently, KCDS is offering 2 DAAD GSSP scholarships for doctoral researchers. These scholarships typically cover a monthly stipend, health insurance, and travel allowance, following DAAD guidelines. Applicants should have a strong background in mathematics, computer science, engineering, natural sciences, or related fields, and demonstrate a keen interest in interdisciplinary research that combines computational and applied sciences.

The application process is managed via the DAAD portal. Prospective candidates should prepare all required documents, including CV, transcripts, and a motivation letter, and ensure they meet the eligibility criteria. The application deadline is January 31, 2026. For more information and to apply, visit the official DAAD position page.