Master Thesis (f/m/x) - Analysing Ionospheric Disturbances in Airborne GNSS Data

Deutsches Zentrum für Luft-und Raumfahrt e.V.; Neustrelitz; Vor Ort; EUR 35.000 - 48.000; Vollzeit

Zusammenfassung

Das Deutsche Zentrum für Luft- und Raumfahrt sucht einen Experten für die Analyse ionosphärischer Daten zur Verbesserung der Navigationsmodelle im Bereich der Raumfahrtforschung. Die Stelle erfordert einen Abschluss in Naturwissenschaften oder Ingenieurwesen und Kenntnisse in der GNSS-Datenanalyse. Sie werden an einem spannenden Projekt mitarbeiten, das direkte Auswirkungen auf die Luftnavigation hat.

Qualifikationen

• Abschluss in Naturwissenschaften (z.B. Physik) oder Ingenieurwesen (z.B. Geodäsie, Informatik).
• Erfahrung in der Analyse von GNSS-Daten erforderlich.
• Fließend in Deutsch und Englisch.

Aufgaben

• Literaturrecherche und Einarbeitung in den Datensatz zur Erzeugung ionosphärischer Indizes.
• Implementierung der ROTI-Erzeugung zur umfassenden Datenanalyse.
• Statistische Analyse der referenzierten Daten und Präsentation der Ergebnisse.

Kenntnisse

Datenanalyse

Programmierung (MATLAB oder Python)

Interesse an Funknavigation

Ausbildung

Abgeschlossenes wissenschaftliches Hochschulstudium (Bachelor oder Diplom)

Jobbeschreibung

The Institute for Solar-Terrestrial Physics focusses on the properties and interactions of the coupled ionosphere-thermosphere-magnetosphere (ITM) system and how it is driven by energy inputs from the sun and the underlying atmosphere. Within this field of research, the Institute for Solar-Terrestrial Physics at the Neustrelitz site in Mecklenburg-Western Pomerania focusses on research into space weather. The term space weather refers to the time-varying conditions on the sun and in the solar wind and their effect on the ITM system.

What To Expect

The Space Weather Observation department is investigating new ways to gain observation data for modeling the ionosphere and its irregularities. Improvement of models is important for the detection of potential disturbances to airborne navigation, for example. The rate-of-TEC index (ROTI) is an important indicator of disturbances, which can also be derived from data of global navigation satellite systems (GNSS) but has so far been generated primarily from ground-based observations. The main task of this project is to derive ROTI from airborne GNSS observations. A data set of flight measurement of the GEOHALO mission is available for this purpose. The location of the observations, the ionospheric conditions and the aircraft parameters (speed and attitude) will be taken into account when evaluating the results.

Your tasks

• Literature research and familiarization with the dataset and the generation of ionospheric indices
• Implementation of the ROTI derivation for comprehensive data analysis
• Reference of data: location of the observations, ionospheric/space weather conditions, and aircraft velocity/attitude
• Statistical analysis of referenced data and presentation of the results
  
  

Your profile

• completed scientific university degree (Bachelor's degree / University diploma) in natural sciences (e.g. physics) or engineering (e.g. geodesy, computer science) or other degree programmes relevant to the job
• Strong interest in radio navigation and ionospheric factors
• Experience in analyzing GNSS data and the necessary programming (e.g., MATLAB or Python)
• Fluent written and spoken German and English
• Ability to work independently and in a team
  
  

Remuneration is up to the German TVöD 05 depending on qualifications and assigned tasks.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 2116) please contact:

Maximilian Semmling

Tel.: [phone]