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We are thrilled to announce the Radiation Hardness Testing Workshop taking place on March 12–13, 2026 — our biennial event for anyone working at the intersection of Space, Aerospace, and AdvancedElectronicsReliability.

This workshop brings together leading experts and practitioners such as European Space Agency - ESA, Fraunhofer-Gesellschaft, Deutsches Zentrum für Luft-und Raumfahrt e.V., and Helmholtz-Zentrum Berlin to explore the latest methods and challenges in Radiation Hardness Testing — a critical discipline to ensure that technology performs reliably in harsh radiation environments, from space missions to high-altitude aviation and beyond.

What to expect:

- In-depth discussions on radiation effects and testing methodologies

- Insights into state-of-the-art irradiation facilities and capabilities across Europe

- Networking with specialists from research, industry, and space agencies.

- Emerging approaches to ensure robust electronics and systems for mission-critical applications.

BESSY II FAIR Datathon: Standardizing science through FAIR data is a hands-on workshop dedicated to tackling one of the key challenges in modern materials science—managing and integrating heterogeneous data and file formats. During this event, participants will develop practical workflows and gain experience with tools that support data standardization using the NeXus common data standards. Through collaborative problem-solving and guided exercises, attendees will learn how to make experimental data more Findable, Accessible, Interoperable, and Reusable (FAIR), paving the way for more efficient and reproducible scientific research.

Specifically, you will: Learn to use the research data management platform (NOMAD) to manage your scientific data yourself in a FAIR way Learn to use, contribute to, and develop community-agreed data standards (NeXus) in your experiment to increase reusability Write a FAIR data conversion workflow of your own example Who should attend: Postdocs, PhDs, and researchers doing experiments (XAS, photoemission spectroscopy, etc.) at the Synchrotron facility, such as BESSY II Early career researcher willing to learn to manage their scientific data, complying FAIR principle Requirements: Basic knowledge of Python is advantageous Example dataset to work with during the datathon Sharing of the example dataset before the application deadline Participation in a pre-datathon remote meeting (two weeks before the event) Good command of the English language 

Registration: https://events.hifis.net/event/3274/

Take your career into your own hands in the Young Entrepreneurs in Science Workshop!

Reflect on the impact of your research, sharpen your vision, and learn how to communicate convincingly.

You will develop and practise key innovation and pitching skills while expanding your network.