Research Associate (f_m_x) Data Science, Machine Learning and Scientific Programming [english]

  • Deutsches GeoForschungsZentrum - GFZ
  • Potsdam, Germany
  • 08/04/2023
Full time Data Science Machine Learning Statistics Biostatistics

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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 2 Geophysics), we are looking for a:

Research Associate (f_m_x) Data Science, Machine Learning and Scientific Programming

Reference Number 7427

  • 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 of the dynamical evolution of the hazardous space radiation environment and developing the tools for specification and prediction of the adverse effects of 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
  • Edit websites
  • Develop real-time visualization 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

Your qualifications:

  • Master's degree in computer sciences or natural sciences
  • Knowledge of data engineering and data science concepts
  • Several years of working experience with IT programming or scientific programming
  • Knowledge of Unix operating systems and maintenance of Unix Workstations
  • 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
  • Attention to detail and strong organizational skills
  • 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
Start date: As soon as posible
Fixed-term: 2 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: 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 30 th April 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], 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]
  • 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 either 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.