Dein persönlicher KI-Karriere-Agent
Thesis Map Matching and Path Prediction for Autonomous Driving(m/w/x)
Modeling road connectivity in RDF and implementing rule sets for path computation. Machine learning background and Python/ML framework experience required. Mobile work, flexible hours, student apartments.
Anforderungen
- Studies in computer science, data science, or related field
- Solid background in machine learning
- Experience with Python and ML/DL frameworks
- Familiarity with graph representations and knowledge graphs
- Understanding of graph neural networks or representation learning
- Software engineering skills for reproducible experiments
- Good German and English skills
Aufgaben
- Support modeling road connectivity and constraints in RDF
- Implement rule sets for computing probable paths
- Build features from observations and road graph
- Learn graph embeddings and train prediction models
- Formulate path prediction as a reinforcement learning problem
- Integrate graph embeddings and train DQN or actor-critic agents
- Develop sequence-to-sequence or transformer models for GPS trajectory alignment
- Compare models to baselines
- Experiment with graph-aware attention and constrained decoding
- Design metrics and scenarios for accuracy, robustness, efficiency, and interpretability
- Run ablations on embeddings and semantic attributes
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – fortgeschritten
- Englisch – fortgeschritten
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- RDF
- SPARQL
Benefits
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Sonstige Vorteile
- Student apartments
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Thesis Map Matching and Path Prediction for Autonomous Driving(m/w/x)
Modeling road connectivity in RDF and implementing rule sets for path computation. Machine learning background and Python/ML framework experience required. Mobile work, flexible hours, student apartments.
Anforderungen
- Studies in computer science, data science, or related field
- Solid background in machine learning
- Experience with Python and ML/DL frameworks
- Familiarity with graph representations and knowledge graphs
- Understanding of graph neural networks or representation learning
- Software engineering skills for reproducible experiments
- Good German and English skills
Aufgaben
- Support modeling road connectivity and constraints in RDF
- Implement rule sets for computing probable paths
- Build features from observations and road graph
- Learn graph embeddings and train prediction models
- Formulate path prediction as a reinforcement learning problem
- Integrate graph embeddings and train DQN or actor-critic agents
- Develop sequence-to-sequence or transformer models for GPS trajectory alignment
- Compare models to baselines
- Experiment with graph-aware attention and constrained decoding
- Design metrics and scenarios for accuracy, robustness, efficiency, and interpretability
- Run ablations on embeddings and semantic attributes
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – fortgeschritten
- Englisch – fortgeschritten
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- RDF
- SPARQL
Benefits
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Sonstige Vorteile
- Student apartments
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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