PhD Programme in Data Science in Hamburg – The Helmholtz Graduate School for the Structure of Matter (DASHH) University of Hamburg in Germany

The Data Science in Hamburg – The Helmholtz Graduate School for the Structure of Matter (DASHH) offers a structured, interdisciplinary PhD programme designed for students interested in the intersection of data science, natural sciences, and applied mathematics. Hosted by the University of Hamburg in collaboration with leading research institutions such as the Helmholtz Centre for Infection Research, Helmholtz Centre hereon GmbH, Max Planck Institute for the Structure and Dynamics of Matter, European XFEL, Hamburg University of Technology, Helmut Schmidt University, and Hamburg University of Applied Sciences, DASHH provides a vibrant research environment in Hamburg, Germany.

The programme focuses on tackling data challenges in fields including structural biology, particle physics, photon science, materials science, and ultrafast X-ray science. These challenges require advanced computational methods, including data management and engineering, machine learning, data analytics, signal and image processing, algorithm design, optimisation, simulation, software engineering, and automation and control systems. Students benefit from interdisciplinary research projects and access to world-leading research facilities such as PETRA III, FLASH, European XFEL, and LHC.

DASHH PhD students are supervised by a panel consisting of a panel chair, a professor from the natural sciences, and a professor from information/computer/mathematical science, ensuring comprehensive academic support. The graduate curriculum comprises 18 ECTS credits, covering knowledge gain, transferable skills, and current research. Regular seminars, talks, and tailored courses are organised by DASHH and partner institutions, including the PIER Helmholtz Graduate School, MINGZ platform of UHH, Graduate Academy for Technology and Innovation of TUHH, Hamburg Research Academy, and Helmholtz Information and Data Science Academy.

The programme is highly international, with about half of the doctoral researchers coming from abroad. International elements include guest lecturers, language training, and opportunities to participate in exchange programmes at other Helmholtz centres or overseas. Career advisory services and support for international students, such as welcome events, buddy programmes, and assistance with accommodation, are available.

Funding is provided through a three-year work contract at the TV-L13 level of the German salary scheme. There are no tuition fees, though a semester contribution of 300–500 EUR may be required for enrolment, which includes a public transportation ticket. Applicants must hold a Master's degree in computer science, applied mathematics, or natural sciences, preferably with interdisciplinary training. Fluency in English is required, and a certificate of proficiency should be provided if the previous degree was not taught in English.

The annual application call opens in September, with interim applications possible under certain conditions. For more information and to apply, visit the DASHH application portal. This programme is ideal for students seeking to advance their expertise in data science and its application to cutting-edge scientific research.