Dein persönlicher KI-Karriere-Agent
PhD Thesis - Scalable and explainable End2End Driving Model (SEED)(m/w/x)
Researching and developing novel deep neural network architectures for autonomous driving systems at a global technology supplier. Master's degree in Electrical Engineering/Computer Science and detailed knowledge of computer vision, 3D vision, machine learning required. Dedicated academic growth support.
Anforderungen
- Master degree in Electrical Engineering, Computer Science or similar
- Excellent grades
- Detailed knowledge of computer vision
- Detailed knowledge of 3D vision
- Detailed knowledge of machine learning
- Detailed knowledge of deep learning
- Detailed knowledge of artificial intelligence (Transformer, Sparse and BEV Queries)
- Experience with dedicated development tools
- High enthusiasm
- Creativity
- Independent work ability
- Excellent task management
- Team spirit
- Assertiveness
- Persuasiveness
- Interest in conceptual work
- Interest in method-based design
- Fluent English (written and spoken)
- Fluent German (written and spoken)
Aufgaben
- Conduct deep-dive analysis of end-to-end driving breakthroughs
- Investigate exploiting large-scale datasets
- Identify next frontiers of innovation
- Design novel deep neural network architectures
- Implement novel deep neural network architectures
- Conduct rigorous experiments on public benchmarks
- Conduct rigorous experiments on Bosch datasets
- Validate model performance and reliability
- Collaborate with deep learning project teams
- Brainstorm new ideas
- Deploy software on hardware
- Validate research on automotive driving systems
- Publish research in top-tier venues
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- TensorFlow
- PyTorch
- Python
- Transformer
- Sparse Queries
- BEV Queries
Benefits
Mentoring & Coaching
- Academic growth support
Noch nicht perfekt?
- Bosch GroupVollzeitnur vor OrtKeine AngabeRenningen
- Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart
PhD Thesis - Scalable and explainable End2End Driving Model (SEED)(m/w/x)
Researching and developing novel deep neural network architectures for autonomous driving systems at a global technology supplier. Master's degree in Electrical Engineering/Computer Science and detailed knowledge of computer vision, 3D vision, machine learning required. Dedicated academic growth support.
Anforderungen
- Master degree in Electrical Engineering, Computer Science or similar
- Excellent grades
- Detailed knowledge of computer vision
- Detailed knowledge of 3D vision
- Detailed knowledge of machine learning
- Detailed knowledge of deep learning
- Detailed knowledge of artificial intelligence (Transformer, Sparse and BEV Queries)
- Experience with dedicated development tools
- High enthusiasm
- Creativity
- Independent work ability
- Excellent task management
- Team spirit
- Assertiveness
- Persuasiveness
- Interest in conceptual work
- Interest in method-based design
- Fluent English (written and spoken)
- Fluent German (written and spoken)
Aufgaben
- Conduct deep-dive analysis of end-to-end driving breakthroughs
- Investigate exploiting large-scale datasets
- Identify next frontiers of innovation
- Design novel deep neural network architectures
- Implement novel deep neural network architectures
- Conduct rigorous experiments on public benchmarks
- Conduct rigorous experiments on Bosch datasets
- Validate model performance and reliability
- Collaborate with deep learning project teams
- Brainstorm new ideas
- Deploy software on hardware
- Validate research on automotive driving systems
- Publish research in top-tier venues
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- TensorFlow
- PyTorch
- Python
- Transformer
- Sparse Queries
- BEV Queries
Benefits
Mentoring & Coaching
- Academic growth support
Über das Unternehmen
Bosch Group
Branche
Engineering
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Vollzeitnur vor OrtKeine AngabeRenningen - Bosch Group
Master Thesis Advanced Control Strategies for Next-Generation Vehicle Dynamics(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Fraunhofer-Gesellschaft
Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart - Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
VollzeitPraktikumnur vor OrtStuttgart