The Helmholtz-Zentrum Geesthacht (HZG), in Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. For further information please refer to:

HZG is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 1,000 employees carry out basic research and development work in close cooperation with national and international research institutions, research-oriented clinics and economic and public institutions.

At the Institute of Materials Research some 200 scientists conduct research in the five sub-institutes “Materials Mechanics”, “Materials Physics”, “Materials Technology”, “Magnesium Innovation Centre MagIC” and “Metallic Biomaterials”.

Data Scientist (m/f/d) for Automated X-ray Diffraction Data Analysis

Reference code: 50027159_2 – 2020/WP 7
Commencement date: as soon as possible
The place of employment is Hamburg

Helmholtz-Zentrum Geesthacht (HZG) operates an outstation at DESY in Hamburg in order to provide access to highly brilliant synchrotron radiation within its German Engineering Materials Science Centre (GEMS). At the PETRA III synchrotron radiation source, HZG operates the High Energy Materials Science Beamline (HEMS, P07), the Imaging Beamline (IBL, P05) and the Nanofocus Endstation of Micro- and Nanofocus X-ray Scattering Beamline (MINAXS, P03) along with supporting laboratory instrumentation.

The primary aim of this position is to develop a software solution for user-friendly and efficient, automatic processing of large numbers of 2D X-ray diffraction datasets. The automated processing includes data visualization, reduction and a fundamental analysis. The developed software will be used at our beamlines (in real-time, i.e. parallel to the data acquisition during experiments) and at our users’ home institutions (after the experiment). A typical experiment generates thousands of diffraction data files with a total volume easily in the terabyte range. Therefore, the processing must be optimized for high throughput, using CPU or GPU parallelization, but needs to be operable by users without any programming language skills.

The position is initially limited to 3 years and may be extended.

Your tasks

Your major responsibilities as a data scientist will be:

Your profile

These qualifications are essential to fulfil the above-mentioned duties:

These qualifications are considered assets:

We offer you

The promotion of equal rights is a matter of course for us. Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.

For inquiries, please contact
Dr. Christina Krywka (

Interested? Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, transcripts, certificates etc.) indicating the reference number 2020/WP 7.
Please start the online application process for this offered position via category Career & Campus.

Closing date: August 31st, 2020
Contact: Mr. Tristan Tietz