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Internship/ Master Thesis on developing tracking methods for deformable objects(m/w/x)
Designing hardware experimental setups, implementing geometric/deep learning prototypes for pose estimation at optics and medical technology group. Applied computer vision and deep learning library experience essential. Project-based work.
Anforderungen
- Background in computer science, robotics engineering, or electrical engineering
- Strong experience with programming in Python
- Good theoretical background in linear algebra, optimization, and computer vision methodologies
- Demonstrable applied experience with computer vision and deep learning libraries
- Self-motivated and independent working style
Aufgaben
- Familiarize yourself with state-of-the-art pose estimation and tracking applications
- Develop the hardware experimental setup based on the use case
- Implement prototype solutions using geometric and/or deep learning methods
- Validate results with test measurements
- Evaluate technical feasibility
- Document experimental outcomes and test results
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Noch nicht perfekt?
- Carl Zeiss Meditec AGVollzeitPraktikumnur vor OrtOberkochen
- Carl Zeiss AG
Internship in Machine Learning Research(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - Carl Zeiss AG
Internship / Master Thesis in Optical Metrology(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - HENSOLDT Optronics GmbH
Masterarbeit zur Verbesserung von visuellen Objektdetektoren(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen, Aalen - HENSOLDT Optronics GmbH
Masterarbeit zur optischen Anomaliedetektion(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen
Internship/ Master Thesis on developing tracking methods for deformable objects(m/w/x)
Designing hardware experimental setups, implementing geometric/deep learning prototypes for pose estimation at optics and medical technology group. Applied computer vision and deep learning library experience essential. Project-based work.
Anforderungen
- Background in computer science, robotics engineering, or electrical engineering
- Strong experience with programming in Python
- Good theoretical background in linear algebra, optimization, and computer vision methodologies
- Demonstrable applied experience with computer vision and deep learning libraries
- Self-motivated and independent working style
Aufgaben
- Familiarize yourself with state-of-the-art pose estimation and tracking applications
- Develop the hardware experimental setup based on the use case
- Implement prototype solutions using geometric and/or deep learning methods
- Validate results with test measurements
- Evaluate technical feasibility
- Document experimental outcomes and test results
Ausbildung
- Laufendes StudiumODER
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Über das Unternehmen
Carl Zeiss AG
Branche
Engineering
Beschreibung
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Noch nicht perfekt?
- Carl Zeiss Meditec AG
Research Internship on Medical Robotics, Augmented Reality and Computer Vision(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - Carl Zeiss AG
Internship in Machine Learning Research(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - Carl Zeiss AG
Internship / Master Thesis in Optical Metrology(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen - HENSOLDT Optronics GmbH
Masterarbeit zur Verbesserung von visuellen Objektdetektoren(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen, Aalen - HENSOLDT Optronics GmbH
Masterarbeit zur optischen Anomaliedetektion(m/w/x)
VollzeitPraktikumnur vor OrtOberkochen