PhD positions in Data and Computer Science in Munich

The Munich School for Data Science (MUDS) is a joint initiative of Helmholtz Zentrum München (HMGU), Helmholtz Institute for RNA-based Infection Research (HIRI), and the German Aerospace Center (DLR) with the Ludwig-Maximilians-Universität München (LMU), the Technical University of Munich (TUM) and the Leibniz Supercomputing Center (LRZ), and an increasing number of industrial partners.

MUDS is offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation and robotics. Consequently, a MUDS student will learn to

(i) develop and adapt state-of-the-art methods from data science and

(ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers.

The research will be accompanied by scientific and transferable and professional skills training, retreats and events, as well as opportunities for gaining international experience, for example during conference participations or a lab research stay. This setup enables the PhD students to become the outstanding data scientists of tomorrow.