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Student Employment
Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!
For our Institute for Solar-Terrestrial Physics in Neustrelitz we are looking for a
Student mathematics, physics or similar (f/m/x)
Analysing the correlation to variations in the solar wind
What to expect:
At the Institute of Solar-Terrestrial Physics, near-Earth space weather is observed, studied, and modeled. Space weather not only affects the functionality and orbital data of satellites, but also the propagation of radio waves, which is used for terrestrial and satellite communications as well as in satellite navigation. Given the ever-increasing dependence of society on the accuracy, availability, and reliability of satellite-based radio systems, preventive measures are needed to protect human lives and technical systems from the effects of space weather. Observation and modeling of the state of the ionosphere, which are critical components of these measures, are conducted at DLR's Neustrelitz site for many years.
As part of the work in the DFG-funded Research Unit “Magnetosphere, Ionosphere, Plasmasphere and Thermosphere, as a coupled system” (MIPT), we are looking for a student assistant to investigate the relationships between variations in the solar wind and the ionosphere and thermosphere. The work could lead to a Master's thesis.
Your tasks:
The solar wind has a significant influence on the variability of the ionosphere and thermosphere, leading to considerable changes, especially during storms. The changes caused by the solar wind vary depending on local time, geomagnetic latitude, season and solar activity.
Your task is to process satellite data and use statistical methods to analyse the correlation to variations in the solar wind. This activity will develop your skills in processing large amounts of data, mathematical methods, software development and graphical representation of data and analysis results.
Your work will be done in an amount of 15 hours per week.
Our offer:
We have high standards, but we also offer you many creative options and opportunities to get involved in an exciting, forward-looking topic and gain unique experiences.
What we expect from you:
- You are currently enrolled in a Bachelor's or Master's degree programme of mathematics, physics or similar
- You can work independently, have experience in programming (e. g. with Python), are interested in maths and physics and enjoy a challenge
- Basic scientific knowledge will help you to quickly and confidently find your way around the sometimes complex information. You don't need to have in-depth knowledge of space weather, but it helps if you can acquire new knowledge quickly and independently
What we offer:
DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.
Further information:
Starting date: as of now
Duration of contract: 6 months
Type of employment: part-time
Duration of contract: 6 months
Type of employment: part-time
Remuneration: Depending on qualifications up to pay group 5 TVöD
Vacancy-ID: 94895
Contact:
Dr. Claudia Borries Institut für Solar-Terrestrische Physik
Tel.: 03981 480 215
Dr. Claudia Borries Institut für Solar-Terrestrische Physik
Tel.: 03981 480 215
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