Master's Thesis on Pitot-Static Errors

Deutsches Zentrum für Luft- und Raumfahrt e.V. · Braunschweig

ThesisGerman needed: not said

Still open on 12 Nov

You apply on the company's own website.

Key facts

Pay: Paid by the federal public service pay scale
Duration: 6 months
Job starts: 15 Jan 2027
Language needed: German and English
Subject you study: Aerospace Engineering, Mechanical Engineering, Electrical Engineering

Learn how to analyse flight test data and measure air data.
Learn methods for identifying errors in static pressure measurements.
Develop and implement an analysis algorithm in Python or MATLAB.
Analyse steady turning manoeuvres using a regression method to determine errors in static pressure measurements.
Conduct a sensitivity study to examine how different factors affect the accuracy of the regression method.
Compare and assess different levels of detail in the analysis method.
Apply and assess an alternative method based on numerical weather prediction models.
Compare and assess the nose boom and standard avionics air data systems.
Document the work in a written thesis.

Currently studying for a university degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or another subject relevant to the role.
Very good knowledge of Python or MATLAB.
Good knowledge of flight mechanics and aircraft systems.
Interest in flight mechanics, experimental testing or signal processing.
Strong motivation and interest in working independently.
An organised approach to work and initiative.
Very good spoken and written German or English.

The DLR Institute of Flight Systems develops detailed simulation models for various aircraft types, used in facilities including the institute's AVES research simulator. A detailed simulation model is currently being developed for the Dassault Falcon 2000LX ISTAR research aircraft. System identification methods are used to analyse flight test data and determine the aircraft's aerodynamic properties. Accurate air data measurements are needed to determine aerodynamic values. For this purpose, ISTAR has air data sensors fitted to a nose boom. This student project will check and, where needed, correct airspeed and static pressure measurements. Suitable flight manoeuvres, such as steady turns at different speeds, will be analysed. The experimental nose boom system will be compared with the standard avionics air data system.
DLR values diversity, respect and equal treatment for everyone.
We support independent work and our staff's personal and professional development.
You have access to our many training and further education opportunities.
Equal opportunities are especially important to us, and we particularly want to increase the number of women in science and leadership.
Applicants with severe disabilities are given preference when suitably qualified.

Learn how to analyse flight test data and measure air data.
Learn methods for identifying errors in static pressure measurements.
Develop and implement an analysis algorithm in Python or MATLAB.
Analyse steady turning manoeuvres using a regression method to determine errors in static pressure measurements.
Conduct a sensitivity study to examine how different factors affect the accuracy of the regression method.
Compare and assess different levels of detail in the analysis method.
Apply and assess an alternative method based on numerical weather prediction models.
Compare and assess the nose boom and standard avionics air data systems.
Document the work in a written thesis.

Currently studying for a university degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or another subject relevant to the role.
Very good knowledge of Python or MATLAB.
Good knowledge of flight mechanics and aircraft systems.
Interest in flight mechanics, experimental testing or signal processing.
Strong motivation and interest in working independently.
An organised approach to work and initiative.
Very good spoken and written German or English.

The DLR Institute of Flight Systems develops detailed simulation models for various aircraft types, used in facilities including the institute's AVES research simulator. A detailed simulation model is currently being developed for the Dassault Falcon 2000LX ISTAR research aircraft. System identification methods are used to analyse flight test data and determine the aircraft's aerodynamic properties. Accurate air data measurements are needed to determine aerodynamic values. For this purpose, ISTAR has air data sensors fitted to a nose boom. This student project will check and, where needed, correct airspeed and static pressure measurements. Suitable flight manoeuvres, such as steady turns at different speeds, will be analysed. The experimental nose boom system will be compared with the standard avionics air data system.
DLR values diversity, respect and equal treatment for everyone.
We support independent work and our staff's personal and professional development.
You have access to our many training and further education opportunities.
Equal opportunities are especially important to us, and we particularly want to increase the number of women in science and leadership.
Applicants with severe disabilities are given preference when suitably qualified.