Master Thesis Robust Identification of Compositional Electrical Drive Models — Identifiability, Sensitivity & Excitation Analysis

• During your thesis you delve into physics-based models of electric drives and our Python component library while simultaneously reviewing current literature on robust system identification and the design of experiments.
• Furthermore you develop innovative robustness diagnostics for our existing identification pipelineconsidering parameter identifiability sensitivity and convergence behaviorand implement as well as quantify appropriate countermeasures.
• In Addition you analyze the excitation content of given datasets evaluate relevant criteria and link these insights to the achievable identification quality.
• You comprehensively evaluate the approach you have developed using a practical benchmark use case.
• Moreover you document as well as present your research findings clearly and understandably.
• Lastly you extend the approach to address partially observable effects resulting from states that cannot be measured directly such as temperatures.

Qualifications :

• Education: Master studies in the field of in Cybernetics Engineering Mathematics Computer Science or comparable
• Experience and Knowledge: basic knowledge of dynamic systems and differential equations; proficiency in Python programming; understanding of the physics of electrical machines; optional: experience with MATLAB/Simulink for interacting with legacy simulation models; optional: knowledge of machine learning and automatic differentiation frameworks (JAX or PyTorch)
• Personality and Working Practice: you work independently and systematically on complex issues and possess strong analytical skills enabling you to accurately grasp and solve problems
• Work Routine: office attendance required
• Languages: very good in English

Additional Information :

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.

You are almost finished with your Bachelors degree and would like to gain some practical experience before embarking on your next academic adventure with a Masters degree Then you fit in perfectly well with our PreMaster Programm! Take a look at our vacancies here.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

Need further information about the job
Benjamin Hartmann (Functional Department)
49 7

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Remote Work :

No

Employment Type :

Full-time