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Student assistant in the field of "Sensor Data Fusion and Artificial Intelligence"(m/w/x)
Developing 3D multi-object tracking algorithms, enhancing virtual test environments in CARLA simulation. Very good Python skills and ROS/PyTorch experience required. Modern research infrastructure, flexible working hours.
Requirements
- Student in Computer or Data Science
- Very good programming skills in Python
- Interest in artificial intelligence topics
- Experience with ROS and PyTorch/TensorFlow
- Structured and self-dependent working style
- Ambition, creativity, and commitment
- High motivation and teamwork ability
Tasks
- Develop algorithms for 3D multi-object tracking.
- Integrate heterogeneous sensor data fusion techniques.
- Enhance virtual test environments in CARLA simulation.
- Generate datasets for training AI algorithms.
- Research view synthesis with transformer models.
- Synthesize photorealistic images for dataset generation.
- Validate algorithms and conduct tests on the test bed.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ROS
- PyTorch
- TensorFlow
Benefits
Competitive Pay
- Adequate remuneration
Flexible Working
- Flexible working hours
Modern Equipment
- Modern research infrastructure
Startup Environment
- Young, dynamic team
Informal Culture
- Open and friendly environment
Not a perfect match?
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Student assistant in the field of "Sensor Data Fusion and Artificial Intelligence"(m/w/x)
Developing 3D multi-object tracking algorithms, enhancing virtual test environments in CARLA simulation. Very good Python skills and ROS/PyTorch experience required. Modern research infrastructure, flexible working hours.
Requirements
- Student in Computer or Data Science
- Very good programming skills in Python
- Interest in artificial intelligence topics
- Experience with ROS and PyTorch/TensorFlow
- Structured and self-dependent working style
- Ambition, creativity, and commitment
- High motivation and teamwork ability
Tasks
- Develop algorithms for 3D multi-object tracking.
- Integrate heterogeneous sensor data fusion techniques.
- Enhance virtual test environments in CARLA simulation.
- Generate datasets for training AI algorithms.
- Research view synthesis with transformer models.
- Synthesize photorealistic images for dataset generation.
- Validate algorithms and conduct tests on the test bed.
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ROS
- PyTorch
- TensorFlow
Benefits
Competitive Pay
- Adequate remuneration
Flexible Working
- Flexible working hours
Modern Equipment
- Modern research infrastructure
Startup Environment
- Young, dynamic team
Informal Culture
- Open and friendly environment
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Fraunhofer is a leading applied research organization focused on developing key future technologies for commercial utilization by business and industry.
Not a perfect match?
- Fraunhofer-Gesellschaft
Masterarbeit Entwicklung von Multi-Objekt Tracking-Algorithmen(m/w/x)
Part-timeWorking StudentOn-siteIngolstadt - Airbus Defence and Space GmbH
Werkstudent im Bereich Virtual Engineering Simulation Deployment and Infrastructure(m/w/x)
Part-timeWorking StudentOn-siteManching - KESSEL SE + Co. KG
Praktikant, Werkstudent, Student für eine Abschlussarbeit(m/w/x)
Part-timeInternshipOn-siteLenting - Teamware GmbH
Werkstudent Project Support / Testing / Prozessmanagement(m/w/x)
Part-timeWorking StudentOn-siteKösching - ZD Automotive
Event Marketing & Social Media(m/w/x)
Part-time/Mini JobWorking StudentOn-siteGroßmehring