vor 5 Tagen
Vollzeit
Teilzeit
Junior
Mid-Level
08.11.24
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Research Assistant (E13 TV-L)baito Pro Job
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Einführung
The position involves researching methods for testing and validating deep neural networks in the context of autonomous driving, with a focus on safety and monitoring.
Aufgaben
- Independently researches methods for testing and validating deep neural networks in the context of autonomous driving.
- Develops methods for online monitoring and retrieval of corner cases in road scenes that could potentially pose a danger to an autonomously driven vehicle.
- Conducts numerical experiments with deep learning frameworks such as PyTorch or TensorFlow for online monitoring of perception networks and evaluates the results statistically.
- Investigates experimental designs for ensuring the safety of neural networks under variable lighting conditions and in teacher-student configurations and implements these findings in numerical experiments.
- Writes scientific papers on the topic of the 'SafeAIEngineering' project.
- Participates in the activities of the SafeAIEngineering consortium as part of the project.
- Maintains the exchange with the industrial partners and other participants in the consortium and takes on project management tasks.
Voraussetzungen
- Successfully completed academic university degree (Master, Diploma or equivalent) in Mathematics.
- Programming experience, preferably in Python.
- Programming experience with deep learning frameworks such as PyTorch or TensorFlow and cluster computing.
- Knowledge of statistical learning theory.
- Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.
Benefits
- Part-time employment may be possible; subject to funding approval being granted.
vor 5 Tagen
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