Doctoral Researcher Positions in Computational and Data Science at KIT (Germany)

Applications are now open for fully funded Doctoral Researcher positions at the KIT Graduate School Computational and Data Science (KCDS), located at the Karlsruhe Institute of Technology (KIT) in Germany – one of Europe’s leading technical universities and a designated University of Excellence. This exciting interdisciplinary PhD program is designed for talented individuals passionate about bridging the gap between mathematical sciences and applied disciplines, including natural sciences, engineering, and economics. Successful candidates will conduct cutting-edge research using advanced computational methods such as mathematical modeling, simulation techniques, and data science approaches to tackle real-world global challenges, from autonomous systems and climate modeling to biomedical engineering and beyond.

These positions offer full funding through salaried employment (according to the German public service pay scale TV-L E13, typically around 65-75% for PhD roles, providing a competitive monthly salary), with no tuition fees. The program includes dual supervision from experts in mathematics and an applied field, access to state-of-the-art facilities, and a rich interdisciplinary training curriculum. There is no application fee, and the process is straightforward via the online portal on the official KCDS website. The deadline for applications is January 31, 2026 – plenty of time to prepare a strong submission!

Key Details

• Positions Available: 2 Doctoral Researcher positions.
• Field of Study: Computational and Data Science (interdisciplinary focus on model-driven and data-driven methods)
• Location: Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
• Funding Type: Fully funded salaried positions (TV-L E13 scale, no tuition fees)
• Involved Institutes: KIT Center MathSEE, Scientific Computing Centre (SCC), Institute of Stochastics (STOCH), Institute of Biomedical Engineering (IBT), Institute of Meteorology and Climate Research – Atmospheric Trace Gases and Remote Sensing (IMK-ASF)
• Program Duration: Standard 3-4 years for PhD completion
• Starting Dates: Flexible, anytime from February to December 2026
• Application Deadline: January 31, 2026
• Application Fee: None
• Open for all Nationalities.

Eligibility and Required Qualifications in Detail

To be considered, applicants must meet these requirements:

• A completed Master’s degree (or equivalent) in a relevant field by the PhD start date
• Motivation to pursue interdisciplinary research at the intersection of mathematics and applied sciences
• Good academic record and research potential
• Proficiency in English (TOEFL/IELTS not mandatory but strong communication skills expected)

No prior PhD or extensive work experience is needed – this is aimed at early-career researchers ready to dive into innovative computational science.

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Benefits and What KIT Offers

As a doctoral researcher at KIT, you’ll enjoy:

• Competitive salary with social benefits (health insurance, pension contributions)
• Onboarding training and extensive professional development opportunities
• Flexible work models, including part-time options and work-from-home
• Campus amenities: Affordable canteens, sports and leisure programs, holiday/childcare support
• Contribution to the Baden-Württemberg public transport ticket (€25/month)
• Membership in Germany’s only large-scale University of Excellence, with global recognition and collaboration opportunities

Also check: Arts & Humanities Studentships at King’s College London (Fully Funded)

How to Apply

Applications are submitted online only. Visit the official website for the full application guidelines, required documents (typically CV, motivation letter, transcripts, references), and the submission portal.

• Reference the vacancy number 1346/2025 clearly in your application
• Shortlisted candidates will be invited to a virtual selection event
• For questions: Contact Angela Hühnerfuß at +49 721 608-47748

Note: Preference may be given to severely disabled applicants who are equally qualified.

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