Online monitoring of lubrication oil condition in aircraft engines is a key component of future Engine Health Management (EHM) concepts. Due to normal operation, contamination, or sudden component malfunctions, changes in the oil occur. These changes such as aging, additive depletion or contamination can impair lubrication performance and thermal stability. This can potentially leading to increased wear or system failures. Therefore, early detection and prediction of such changes are essential for maintenance planning purposes and maintaining system functionality.

As part of a development project, a novel sensor that measures the thermal effusivity of liquids is being tested, enabling conclusions about the oil condition. This "Oil Condition Sensor" will be further investigated and validated within the scope of this Master's thesis.

The goal of this Master's thesis is to mathematically model the measurement principle of the "Oil Condition Sensor" and validate it through suitable laboratory tests.

Strong responsibilities

Conduct a literature review on factors influencing thermal effusivity, oil aging and contamination, e.g. coolant ingress in aircraft engines
Select relevant oil conditions and define realistic scenarios for the sensor validation, taking into account influencing factors on the measurement
Prepare and perform laboratory tests using the sensor system
Assess the sensor's performance under various operating conditions e.g. accuracy, robustness, and distinguishability of the measured fluids
Mathematically model the "Oil Condition Sensor" for measuring thermal effusivity
Develop a model to simulate sensor behavior under different oil conditions
Discuss and summarize the results in the written thesis, including recommendations for further development and integration into EHM Systems

Ideal qualifications

Studies in Aerospace Engineering, Mechanical Engineering or a comparable field at the Technical University of Munich
Basic understanding of sensor technology and measurement systems
Experience in mathematical modeling and data analysis
Interest in condition monitoring and engine health management
Very good English skills
Strong analytical thinking and the ability to work structured and in a scientific matter

The timeframe for the thesis is 6 months between August 2026 and March 2027.

Excellent environment

Practical insights into the aviation industry and jobs with responsibilities
Strong team cohesion, facilitated by our student network and various events
Mentoring and individual support
Flexible working hours and the possibility of remote work (depending on the area of assignment)
Delicious and varied dishes in our company cafeteria
EGYM Wellpass and company sports groups
Excellent connections thanks to commuter bus, parking garage, e-charging station

Ready?

Give your career a boost and send us your complete application (CV, Transcript of Records, High School Diploma).

We are looking forward to getting to know you!