At KCDS, Doctoral Fellows have a supervision tandem (one supervisor from the mathematical sciences, one from a SEE – Sciences, Economics and Engineering - discipline), who will meet with them regularly throughout their doctoral phase.

Together with their supervisors, KCDS Fellows configure their own custom-tailored curriculum for their 3-year KCDS qualification program.

The curriculum consists of topical and general qualification offers as well as cutting-edge knowledge and self-reliance modules. KCDS also offers networking events, career talks, support for planning research stays abroad and much more.

KCDS Fellows can choose from a variety of offers, for more information see the Course Program.

By the end of their training, doctoral researchers within KCDS will have a sound knowledge in their selected topics of applied mathematics (e.g. numerics, stochastics, differential equations), data science (e.g. methods and procedures for structure and pattern recognition, analysis and processing of large, partly unstructured data sets) and an application discipline. In particular, they will usefully supplement parametric models with data-driven methods. Graduates will be able to work out solutions to problems in a project-oriented manner and in cooperation with other scientists. They will be able to independently implement methods on large high-performance computing and data analysis facilities. They will be able to communicate their results to decision makers while outlining underlying assumptions and connected uncertainty. They would be competent in working within a legal and ethical frame. They will have the ability to acquire new methods and competence, both general and topical, in a self-reliant manner.