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

MUDS offers PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong emphasis on computational science. Applicants should have an interest in training at the intersection of data science and the scientific domains pursued at the three participating Helmholtz centers. The program covers a wide range of topics, including:

• Large-scale data management
• Data mining and data analytics (including machine learning and deep learning)
• High-performance computing and high-performance analytics
• Data integration and related topics such as uncertainty quantification, model-order reduction, and multi-fidelity methods

The primary fields of application include life science, medicine and health, earth observation, and robotics. As a MUDS student, you will learn to:

1. Develop and adapt state-of-the-art methods from data science
2. Apply the acquired knowledge to the research domains of the respective Helmholtz centers

The research will be complemented by scientific and transferable professional skills training, retreats, events, and opportunities for international experience, such as conference participation or lab research stays. This comprehensive setup aims to develop outstanding data scientists of the future.

The application deadline is September 26, 2024.

For more information and to apply, please visit https://www.mu-ds.de.