DASHH Data Science in Hamburg – Helmholtz Graduate School for the Structure of Matter
An interdisciplinary PhD programme focused on applying advanced data science techniques to large-scale research in the structure of matter.
Best for:Best for researchers with a background in computer science, mathematics, or natural sciences looking to apply data-driven methods to large-scale scientific experiments.
Overview
The DASHH graduate school offers a structured, three-year PhD programme that bridges the gap between domain-specific research and modern data science. Doctoral researchers work on complex data challenges in fields such as structural biology, particle physics, materials science, and ultrafast X-ray science. The programme is a collaboration between several prestigious research institutions in Hamburg, providing access to world-leading facilities like PETRA III, FLASH, and European XFEL. Students are supported by an interdisciplinary supervisory panel and participate in a curriculum that includes knowledge gain, transferable skills, and current research seminars.
What you'll do
- Conduct interdisciplinary PhD research at the intersection of domain sciences and data/information science.
- Develop and apply advanced computational methods, including machine learning, signal processing, and simulation, to scientific data challenges.
- Participate in the DASHH graduate curriculum, completing 18 ECTS credits across knowledge gain and transferable skills branches.
- Engage in regular talks, seminars, and collaborative research activities with partner institutions.
- Collaborate with a supervisory panel consisting of experts from both natural sciences and computational/mathematical fields.
- Utilize career advisory services and participate in trainee networks or exchange programmes.
Requirements
Degree required: Master's degree in computer science, applied mathematics, or natural sciences.
Degree offered: PhD
Language: English proficiency sufficient for research and coursework; no specific test score minimums listed.
Instruction: English
- Strong academic background in computer science, mathematics, or a relevant natural science.
- Interest in interdisciplinary research at the interface of natural and computer sciences.
- Ability to work effectively within a collaborative, international research environment.
- Applicants must hold or be near completion of a Master's degree in a relevant field.
- Degrees from foreign universities and non-research oriented institutions are eligible for consideration.
Funding & terms
How to apply
Interested candidates should visit the official DASHH application portal to review current project openings and submission requirements. Applications are accepted on a rolling basis as there is no fixed deadline.
- CV
- Academic transcripts
- Statement of purpose
- Letters of recommendation
Contact
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