Postdoc-Positionen (f/m/x) Numerische Modellierung und Maschinelles Lernen in der Weltraumphysik

Postdoc positions (f_m_x) Numerical modelling and Machine Learning in Space Physics

Reference Number 10146

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 with the specification and prediction of space weather during the last decade.

Our section "Space Physics and Space Weather" is working on understanding of 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 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:

• Maintain data and code repositories
• Develop real-time visualisation on the website
• Develop various programming tools for scientific codes and data analysis
• Document and test existing codes
• Adopt scientific codes for different scientific problems
• Conduct scientific research in the field of space physics
• Write manuscripts that will be published in peer-reviewed journals
• Present related studies at international and national conferences
• Write proposals for future projects

Your qualifications:

• Master's degree (or equivalent) and PhD degree in space physics or related natural sciences
• Experience with scientific programming and Unix operating systems
• Experience with various programming languages, including C++, Python and Matlab
• Ability to work with large datasets
• Experience with machine learning, data mining and data assimilation is a plus
• Knowledge of git, docker, kubernetes, and/ or metadata is a plus
• Ability to work within a team
• Excellent interpersonal and communication skills

What we offer:

• Ambitious and varied tasks in a dynamic and international research environment
• State-of-the-art equipment
• Public service benefits
• Extensive training opportunities
• Professional career advice offered by our in-house Career-Centre
• Flexible working hours and conditions
• Support with finding a good work-life balance offered by benefit@work
• Institute day-care centre on site
• Working at the Albert Einstein science park on the Telegrafenberg in Potsdam
• Work place within walking distance of Potsdam main train station, or just a short ride on the shuttle bus

Have we piqued your interest?