Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
Technische Universität München
Fach- und Hochschulen
München
- Art der Anstellung: Studierende
- Hybrid
- Zu den Ersten gehören
Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
Über diesen Job
Studentische Hilfskraft for the research project MEDIS: Modeling and forecasting of the electron density distribution within the ionosphere
10.09.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
The MEDIS project ( https://gepris.dfg.de/gepris/projekt/535345838 ) is part of the DFG-funded research unit "Magnetosphere, Ionosphere, Plasmasphere, and Thermosphere as a Coupled System (MIPT)” ( https://gepris.dfg.de/gepris/projekt/462853228?context=projekt&task=showDetail&id=462853228& ). The overall objective of the MEDIS project is the development of a new approach for modeling and predicting the ionosphere based on machine learning techniques. The ionosphere has a significant influence on applications dealing with trans-ionospheric radio waves, like GNSS navigation and remote sensing. Thus, ionosphere modeling is of paramount importance for such applications.
Your tasks:
- Collection and handling of various datasets for research purposes
- You support the project team in collecting, filtering and preprocessing various ionospheric datasets for research purposes
- Performing statistical analysis and data visualization •
- General project-related organizational and documentation tasks
Your profile:
- You study Mathematics, Physics, Geodesy, Natural Science subjects, Engineering or similar
- First practical experience in programming with Python or MATLAB is desirable
- Interest in scientific work
- Good English skills
- Careful, independent and committed way of working
Our offer:
- Varied and independent work in a team with experienced colleagues who will carefully guide you
- The opportunity to gain experience in an innovative project
- Integration into an exciting and interdisciplinary DFG research unit
- An appreciative, cooperative and friendly working atmosphere
- Thanks to our central location on Odeonsplatz, we are very easy to reach by public transport
We look forward to receiving your application documents (tabular CV, transcript of records, motivation letter). Please send your documents as a PDF file by email to Dr. Tatjana Gerzen (tatjana.gerzen@tum.de)
Kontakt: tatjana.gerzen@tum.de
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