Reference Number
10460
The near-Earth space environment is hazardous and poses a significant risk for satellites and humans in space. Currently, there are hundreds of operational commercial satellites with a revenue stream of tens of billions of dollars per year. There are also a number of other satellites that assist in navigation, weather prediction, and telecommunication. Frequent satellite failures caused by space weather have fueled a surge in interest in the specification and prediction of space weather during the last decade.
Our section "Space Physics and Space Weather" is working on understanding the dynamical evolution of the hazardous space radiation environment, and developing the tools for specification and prediction of the adverse effects of the space environment using models and data assimilation. We study the fundamental processes in the near-Earth environment and focus on understanding fundamental processes responsible for the evolution of space radiation. Our research will help safely design and operate satellites and maintain ground networks. In our research, we try to bridge our theoretical studies with high-performance computing to develop tools that can be used by engineers.
Your responsibilities:
1. Maintain data and code repositories
2. Develop real-time visualisation on the website
3. Develop various programming tools for scientific codes and data analysis
4. Document and test existing codes
5. Adopt scientific codes for different scientific problems
6. Conduct scientific research in the field of space physics
7. Write manuscripts for publication in peer-reviewed journals
8. Present related studies at international and national conferences
9. Write proposals for future projects
Your qualifications:
10. Master's degree (or equivalent) and PhD degree in space physics or related natural sciences
11. Experience with scientific programming and Unix operating systems
12. Experience with various programming languages, including C++, Python and Matlab
13. Ability to work with large datasets
14. Experience with machine learning, data mining and data assimilation is a plus
15. Knowledge of git, docker, kubernetes, and/or metadata is a plus
16. Ability to work within a team
17. Excellent interpersonal and communication skills
What we offer:
18. Ambitious and varied tasks in a dynamic and international research environment
19. State-of-the-art equipment
20. Public service benefits
21. Extensive training opportunities
22. Professional career advice offered by our in-house Career-Centre
23. Flexible working hours and conditions
24. Support with finding a good work-life balance offered by benefit@work
25. Institute day-care centre on site
26. Working at the Albert Einstein science park on the Telegrafenberg in Potsdam
27. Work place within walking distance of Potsdam main train station, or just a short ride on the shuttle bus
Start date: 1st August 2025
Fixed-term: 12 months
Salary: The position is classed as salary group 13 according to “TVöD Bund (Tarifgebiet Ost)”. The salary group is determined on the basis of the Collective Wage Agreement and the respective personal qualifications.
Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work.
Place of work: Potsdam
Have we piqued your interest?
If so, we look forward to receiving your application by 15th July 2025. Requested documents: CV and letter of motivation Desirable documents: certificates/grades Please use our online application form only.