PostDoc (f_m_x) Machine Learning for Ionosphere
The Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences is the national centre for research into the geosphere. With around 1,650 employees, we develop a sound understanding of systems and processes of the solid Earth as well as strategies and options for action to counter global change, understand natural hazards and sustainably secure energy and raw material requirements.
PostDoc (f_m_x) Machine Learning for Ionosphere
Reference Number 9366
You will be working on the MIPT project: Ionospheric and plasmaspheric dynamics from observations, machine learning and physics-based modeling
Our section 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 the space environment utilizing machine learning, as well as physics-based models, and data assimilation.
The MIPT project: The overarching science objective of the research unit will be to better understand how the magnetosphere, ionosphere, plasmasphere, and thermosphere are coupled to each other. The complexity of this system, which covers altitudes from tens to tens of thousands of km and over time scales from minutes to decades, requires an interdisciplinary team with experts in different domains, expertise in modeling and observations, as well as established collaborative ties to the international community.
Your responsibilities:
The successful candidate should have extensive experience in data analysis and machine learning. Job responsibilities will include a variety of tasks related to scientific programming, but are not limited to that.
- Perform data processing and analysis
- Develop and maintain machine learning models of the particle dynamics in the near-Earth space
- Deploy the developed models for real-time operations
- Maintain data and code repositories
- Develop scientific visualizations of the results
- Conduct scientific research in the field of space physics
- Attend scientific meetings, including international conferences, and present the results
- Write manuscripts that will be published in peer-reviewed journals
- Collaborate within the MIPT Research Unit
Your qualifications:
- PhD and Master's degree in Physics, Space Science, or a related field
- Experience in processing and analyzing large data sets
- Demonstrated expertise in utilizing machine learning techniques for data analysis and modeling
- Advanced scientific programming skills, particularly in Python and MATLAB
- Knowledge of Unix, Mac, and Windows operating systems
- Experience in maintaining Unix workstations
- Ability to work within a team
- Attention to detail and organizational skills
- Excellent interpersonal and communication skills
- Excellent English 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
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?
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.
