YOUR RESPONSIBILITIES:
* Performance comparison of the Machine Learning methods developed at AVL.
* Identification of the limitations of the Machine Learning methods developed at AVL.
* Analyzing the methods using cognitive testing methods available in the literature on a publicly available AD stack like Autowave and Apollo.
YOUR PROFILE:
* Ongoing studies in the fields of Computer Science, Telematics, Physics, or Electrical Engineering.
* Good programming skills in Python or C++.
* Knowledge of Machine Learning.
* Good knowledge of German and English.
* Knowledge of optimization methods is beneficial.
* Presence at our headquarters in Graz is required for this thesis.
WE OFFER:
* You can write your thesis independently with professional guidance and support from our experienced employees.
* Opportunity to exchange ideas with experts and benefit from their expertise.
* Immerse yourself in the world of AVL and apply your theoretical knowledge in a practical environment.
The successful completion of the thesis is remunerated with a one-time fee of tax.
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