Machine Learning and Numerical Modelling in Space Physics and Space Weather – Research Associate (f_m_x)

Stellenbezeichnung: Machine Learning and Numerical Modelling in Space Physics and Space Weather – Research Associate (f_m_x)


Arbeitsort / Location: Potsdam, Brandenburg

Job Beschreibung: Offer Description

Area of research:

Scientific / postdoctoral posts

Job description:The Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences is the national centre for geosphere research. As a member of the Helmholtz Association of German Research Centres we are part of the largest scientific organization in Germany. With approximately 1,500 employees our key mission is to secure a profound understanding of the systems and processes of solid Earth, to develop strategies and options for action in addressing global change and its impacts on a regional level, to understand natural hazards and to minimize associated risks, to ensure the sustainable provision of energy and raw materials for a high-tech society and to evaluate the influence of human activity on system Earth. As a partner in Geo.X, the GFZ has access to an excellent network of other geoscience institutions in Potsdam and Berlin. This largest regional concentration of geoscientific competence in Europe offers first-class cooperation and development opportunities.

For section 2.7 „Space Physics and Space Weather“ (department “Geophysics”), we are looking for a:

Reference Number 8039

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.

Your responsibilities:

  • Develop machine-learning pipelines or numerical simulation codes
  • Develop codes-based machine-learning algorithms
  • Develop real-time visualizations
  • Maintain data and code repositories
  • Document and test existing codes

Your qualifications:

  • 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/numerical modelling
  • 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/C++

A plus:

  • Ability to work with large datasets
  • Knowledge of Unix operating systems
  • Knowledge of git and docker

Start date: 01.10.2023

Fixed-term: PhD: 3 years, PD: 1+1 years

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

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

Have we piqued your interest?

If so, we look forward to receiving your application by 31st August 2023. Please use our online application form only.

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.

In case of any further queries relating to the field of activity, please contact Dedong Wang via email at . If you have any general questions about the application process, please contact our recruiting team at our phone number +49 (0) 331-6264-28787.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany’s largest scientific organisation.


Additional Information

Website for additional job details

Work Location(s)

Number of offers available 1 Company/Institute Helmholtz-Zentrum Potsdam – Deutsches GeoForschungsZentrum GFZ Country Germany City Potsdam

Where to apply E-mail

bewerbungen@gfz-potsdam.de Website

Contact City

Potsdam Website


Telegrafenberg Postal Code

14473 E-Mail

presse@gfz-potsdam.de Phone

+49 331 288-0 Fax

+49 331 288-1600


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