4 Doctoral Researchers (f/m/d) in Computational and Data Science
KIT Graduate School Computational and Data Science

Organisationseinheit

Institut für Angewandte und Numerische Mathematik (IANM), Institut für Fahrzeugsystemtechnik (FAST), Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Institut für Wasser und Umwelt (IWU), KIT-Zentrum MathSEE, Scientific Computing Center (SCC)

Ihre Aufgaben

Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and economics on the other side?

In this unique doctoral program, you will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied discipline.

Addressing global challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models.

You will have one supervisor from the mathematical sciences and one from the applied discipline. You will be part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.

Send your application if you can see the potential in thinking simulations and data together and if you are ready to conquer the data driven challenges of tomorrow!

We provide an inspiring, attractive, interdisciplinary, and internationally recognized scientific environment with access to excellent facilities of the KIT, an interdisciplinary training program and flexible working time models.

KIT aims at the implementation of equal opportunities, it promotes diversity and supports persons with childcare or eldercare responsibilities as well as persons with disabilities.

Eintrittstermin

June - August 2025

Ihre Qualifikation

The following qualifications are required:

• Master or an equivalent degree in mathematical sciences or a SEE discipline (natural sciences, engineering, economics) received no later than the starting date of your doctoral studies
• We expect good writing and oral communication skills in English.