- Degree
- Dr rer nat, Dr-Ing
- Doctoral degree or degree awarded by
- University of Hamburg, Hamburg University of Technology, Helmut Schmidt University
- Course location
- Hamburg
- In cooperation with
- • Helmholtz Centre for Infection Research,
• Helmholtz Centre hereon GmbH,
• Max Planck Institute for the Structure and Dynamics of Matter,
• European XFEL,
• University of Hamburg,
• Hamburg University of Technology,
• Helmut Schmidt University, and
• Hamburg University of Applied Sciences
- Teaching language
- • English
- Languages
- All relevant courses are held in English.
- Programme duration
- 6 semesters
- Beginning
- Only for doctoral programmes: any time
- Application deadline
- The annual call usually opens in September.
https://www.dashh.org/application/index_eng.html (https://www.dashh.org/application/index_eng.html)
Interim applications are possible under certain conditions.
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- DASHH facilitates an interdisciplinary, structured, three-year PhD programme with a focus on data science and research in the structure of matter.
The graduate school covers data challenges from application fields such as structural biology, particle physics, photon science, materials science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org/research/index_eng.html (https://www.dashh.org/research/index_eng.html).
DASHH is one of the six Helmholtz Information & Data Science Schools that promote young data scientists in all research areas.