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 doctoral researcher will learn to

• develop and adapt state-of-the-art methods from data science and
• apply the acquired knowledge to the research domains of the respective Helmholtz centers.

MUDS is offering PhD positions (f/m/x) 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.

The research will be accompanied by

1. scientific and transferable and professional skills training,
2. retreats and events,
3. as well as opportunities for gaining international experience, for example during conference participations or a lab research stay.

This setup enables the PhD students (f/m/x) to become the outstanding data scientists of tomorrow.

• Master certificate (if available) and transcript of records (if not in German or English: original AND official English translation)
• Bachelor certificate and transcript of records (if not in German or English: original AND official English translation)
• High School Certificate
• Curriculum Vitae (as a PDF document)
• Two letters of recommendation (Referees are informed via the application system)