PhD students at DASHH deal with questions from a wide range of research fields, such as structural biology, particle physics, materials science and science with ultra-short X-ray pulses. Data processing in these fields require modern data science techniques.
The goal of DASHH is to educate a future generation of data scientists. They will be able to meet the scientific challenges of tomorrow, which are associated with large-scale data-intensive experiments.
Click herefor a look on the topics of the current doctoral projects.
Close supervision and support by an interdisciplinary Supervisory Panel
Basic research from particle physics to structural biology and materials science, integrating innovative approaches from computer science and mathematics
Opportunities to acquire the additionally required expertise through lectures at the partner universities UHH, TUHH and HSU
Regular exchange between DASHH PIs and doctoral students through regular seminars
Insights into current developments in the field of data science through a DASHH-initiated Data Science Colloquium
Possibility of research at world-leading large-scale research facilities (PETRA III, FLASH, European XFEL, LHC)
Courses for personal skills training and career development (transferable skills)
Excellent working conditions on the vibrant and inspiring DESY research campus in the new Science City Hamburg-Bahrenfeld
Further series of lectures on current research topics
Funding and duration of the program
The program extends over three years and offers full funding. The remuneration during the term corresponds to the tariff level E13 of the TVöD.
Application and further information
Up to twelve doctoral positions are available annually. DASHH location is Hamburg. The program language is English. The application phase for new interdisciplinary projects starts in September each year, and the selection process is in February of the following year.
Are you interested in advancing artificial intelligence and data science and thus unlocking the secrets of matter? Then apply to DASHH!