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Software engineer for open-source data analysis of cosmic-ray neutron data (f/m/x)

Leipzig
Helmholtz Centre for Environmental Research
Software Engineer
Inserat online seit: 2 Dezember
Beschreibung

The UFZ

The Helmholtz Centre for Environmental Research (UFZ) with its 1,100 employees has gained an excellent reputation as an international competence centre for environmental sciences. We are part of the largest scientific organisation in Germany, the Helmholtz association. Our mission: Our research seeks to find a balance between social development and the long-term protection of our natural resources.

The job

The Helmholtz Centre for Environmental Research (UFZ) has secured 12 months funding through the Helmholtz ScienceServe call to transform the research software “Neptoon” into a multi-purpose, open-source, community-driven toolbox that enables state-of-the-art data analysis, server-based automatic data processing, and science education using cosmic-ray neutron sensing for soil moisture estimation. Join us in building sustainable research software that supports hundreds of scientists, institutional users, and students worldwide in the context of climate change, hydrology, agriculture, and space weather.

Your tasks

1. Software Engineering Excellence: Lead the implementation of new scientific features, comprehensive automated testing frameworks and modern CI/CD pipelines, including containerization (Docker, Apache Airflow) that scale from individual researchers to major research infrastructures.
2. FAIR4RS Implementation: Champion open science by implementing FAIR4RS principles including enhanced metadata management, persistent identifiers (DOIs), and standardized APIs that ensure transparent and reproducible processing.
3. Community Building: Travel across Helmholtz centers and to the University of Bristol to engage with the international CRNS community, and design and deliver engaging training workshops through the HIDA catalogue.
4. Transfer & Impact: Design intuitive interfaces (web-based GUIs, command-line tools, Docker images) and prepare the groundwork for operational deployment in monitoring networks like TERENO and eLTER.

We offer

5. The freedom to master even the most demanding challenges between basic research and practical application
6. The chance to work in interdisciplinary, international teams and benefit from a variety of perspectives
7. Firstclass integration into national and international research networks to work together on global challenges
8. Excellent research infrastructure and research data management to optimally support your work
9. Flexible working hours and a wide range of options for balancing work and care responsibilities through our family office
10. Competent support and advice for international colleagues arriving at the UFZ from the 'International Office'
11. Special annual payment, capital-forming benefits and subsidised Germany Job Ticket
12. A workplace in a vibrant region with a high life quality and social and cultural diversity

Your profile

13. PhD in Computer Science, Environmental Sciences, Physics, Geosciences, or related field with demonstrated expertise in research software development
14. Strong Python programming skills including experience with modern software development practices (version control, testing frameworks, CI/CD) and interface design (CLI, GUI)
15. Experience with software engineering best practices such as containerization (Docker), workflow automation, and API design
16. Knowledge or interest in environmental monitoring, hydrology, or Earth system sciences (experience with CRNS data is a plus but not required)
17. Commitment to open science principles and FAIR data/software practices
18. Excellent communication skills in English (written and spoken); German skills are beneficial but not mandatory
19. Collaborative mindset with enthusiasm for community engagement, training, and knowledge transfer
20. Willingness to travel within Germany and internationally for collaboration and training purposes
21. Experience with scientific computing infrastructure and database systems is advantageous
22. Track record of contributions to open-source projects or scientific software packages is highly valued

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