Master Thesis (d/f/m): Virtual Sensor & State Estimation Development for Fuel Cell Systems (ZEROe)

Your tasks and responsibilities

• Conduct a comprehensive literature review on virtual sensing, state estimation, and model-based diagnostics for fuel cell systems.
  
• Develop and implement models for fuel cell system components relevant to virtual sensing (e.g., degradation, performance).
  
• Design and evaluate virtual sensor algorithms to infer unmeasured system states and parameters.
  
• Implement and validate state estimation techniques (e.g., Kalman filters, Extended Kalman Filters, particle filters) for fuel cell systems.
  
• Utilize simulation environments (e.g., MATLAB/Simulink, Python) for model development, algorithm testing, and data analysis.
  
• Analyze the performance and robustness of developed virtual sensors and state estimators under various operating conditions and fault scenarios.
  
• Document research findings, methodology, and results in a comprehensive Master's thesis.
  
• Present progress and results to the Airbus ZEROe team regularly.
  

Desired skills and qualifications

• Enrolled full-time Master's student in the area of Electrical Engineering, Aerospace Engineering, Control Systems Engineering, or a related field.
  
• Strong academic background in control theory, system identification, estimation theory, and data analysis.
  
• Proficiency in programming languages such as MATLAB/Simulink and/or Python.
  
• Familiarity with fuel cell technologies and their operation principles is a plus.
  
• Experience with model-based development and simulation tools is desirable.
  
• Ability to work independently, demonstrate initiative, and solve complex problems.
  
• Excellent written and verbal communication skills in English, German is a plus.
  
• Strong analytical and critical thinking abilities.
  

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.

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Company:
Airbus Operations GmbH

Employment Type:
Final-year Thesis
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Experience Level:
Student

Job Family:

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