Master Thesis (d/f/m): Virtual Sensor & State Estimation Development for Fuel Cell Systems (ZEROe)
Core
Develop virtual sensors and advanced state estimation techniques for fuel cell systems to support the ZEROe team.
Role type
Master's thesis student (research & development)
Builds
Virtual sensor algorithms and state estimators for fuel cell systems
Domain
Aerospace / Fuel Cell Systems / Control Theory
Deliverable
research
Required skills
control theory, system identification, estimation theory, data analysis, MATLAB/Simulink, Python
Preferred skills
fuel cell technologies, model-based development, simulation tools
Responsibilities
Conduct literature review on virtual sensing and state estimation; Develop models for fuel cell components; Design and evaluate virtual sensor algorithms; Implement and validate state estimation techniques (e.g., Kalman filters); Utilize simulation environments for testing; Analyze performance and robustness under fault scenarios; Document research findings in a Master's thesis.
Seniority
Student, Master's thesis