Data Science and Artificial Intelligence in Space Physics and Space Weather - Research Associate (f_m_x)
Reference Number 7434
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 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 tools for specification and prediction of the adverse effects of space environment using models and artificial intelligence. We study 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. Our section has developed a number of ML-based models focusing on the analysis of solar images, simulations of Earth' plasmasphere, magnetosphere, the geomagnetic index Kp, and the radiation belts. The responsibilities of the research associate will include the development of new models and application, as well as the maintenance of existing machine learning codes. The Research Associate will be also involved in fusion of the ML models with physics-based models.
This position is suitable for both PD (Postdoc) and PhD career stages.
- Develop machine-learning pipelines
- Develop codes-based machine-learning algorithms
- Develop real-time visualizations
- Maintain data and code repositories
- Document and test existing codes
- For PhD's: MSc in physics, computer sciences, maths or related natural sciences OR for PD's: PhD in physics, computer sciences, maths or related natural sciences
- Experience/knowledge in artificial-intelligence/machine-learning algorithms
- Experience/knowledge in data-science concepts
- Ability to work within independently and in a team
- Attention to detail and strong organizational skills
- Excellent interpersonal and communication skills
- Good programming skills in Python/Matlab
- Ability to work with large datasets
- Knowledge of Unix operating systems
- Knowledge of git and docker
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
- 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
Fixed-term: 3 years (PhD), 2 years (PD)
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:PhD: 75 %, PD: 100% (currently 39 h/week); The position is generally suitable for part-time work.
Place of work: Potsdam
Have we piqued your interest?
Diversity and equal opportunities are integral components of our human resources policy. The GFZ actively promotes diversity and explicitly welcomes applications from all qualified individuals, regardless of ethnic and social origin, nationality, gender, sexual orientation and identity, religion/belief, age and physical characteristics. Anyone who has been recognized as severely disabled, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. If you have any questions, please contact our representative for the severely disabled at sbv[at]gfz-potsdam.de, who will be happy to assist you in the further application process. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer at gba[at]gfz-potsdam.de.
Your personal data will be processed for the purpose of conducting the selection procedure on the basis of Art. 6 para. 1 b, Art. 88 GDPR in conjunction with Art. 26 of the Data Protection Act for the State of Brandenburg. After completion of the procedure, application documents will be deleted in compliance with data protection regulations.