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Working Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction (all genders)

Vaeridion

Munich permanent

Posted: April 16, 2026

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Quick Summary

Working Student Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction will join the VÆRIDION Technology team and be involved in developing and validating battery state observers and predictors for our lithium-ion propulsion battery system.

Job Description

Your mission:
We are developing a next-generation electric aircraft propulsion system. Accurate real-time knowledge of the battery’s accessible energy, state of charge (SoC), state of health (SoH), and remaining useful energy is safety-critical for flight planning, in-flight energy management, and certification. As a Working Student for Electric Aircraft Propulsion Battery State Observation, Estimation and Prediction, you will join the VÆRIDION Technology team and be highly involved in the development and validation of battery state observers and predictors for our lithium-ion propulsion battery systems. This is a hands-on role combining modeling, simulation, algorithm development, and data analysis in a safety-critical aerospace environment. 
Your work will directly contribute to the development of the high-voltage battery system at the core of VÆRIDION’s electric propulsion architecture and its compliance with key aerospace standards.


Your Day-to-Day:
• Adapt and simulate equivalent-circuit models of propulsion battery cells and packs, including thermal, aging, and hysteresis effects
• Develop, implement, and validate battery state estimation algorithms, e.g., Kalman filters(EKF/UKF/SKF), PF, observers, or data-driven methods for SoC, SoH, and other states of function
• Develop, implement, and validate state predictors for remaining flight time or other indicators
• Ensure algorithms align with ED-289 requirements for state observers/predictors and ED-309 methodologies for energy level information to the crew (pre-flight planning and in-flight prediction)
• Analyze data from virtual and physical battery test benches or hardware-in-the-loop (HiL) setups
• Support integration of estimator and predictor functions into real-time battery management software
• Document methods and validation results
• Collaborate with systems engineers, embedded software engineers, and test teams


Your profile:
• Enrolled in a Master’s program in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Control Engineering, or a related field
• Background in control theory, state estimation(Kalman filtering, observers), or system modeling
• Programming skills in Matlab/Simulink and optionally C/C++
• Knowledge of battery technology(lithium-ion electrochemistry, equivalent circuit models, aging mechanisms) and battery management is a strong plus
• Experience with real-time simulation, HiL testing, or embedded systems is a plus
• Analytical mindset, attention to detail, and ability towork independentlyon sub-tasks
• Ability to document technical work clearly


Why us?:
• Be part of an ambitious team determined to shape the future of aviation.
• Enjoy flexible working hours: we believe in ownership and trust.
• Subsidized EGYM Wellpass membership: your (mental) health is important for us.
• Enjoy a subsidized lunch with a 5€ company contribution per meal on office days.
• Boost your professional as well as personal growth executing your own ideas and independent projects.
• Join our internal social events and retreats (e.g. cooking, game nights, sports).

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