Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor Ort
Renningen
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
BOBosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Renningen
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing next-gen intelligent inspection solutions for manufacturing using hyperspectral anomaly detection. Advanced machine learning and Python programming skills required. Focus on self-supervised representation learning and deep learning frameworks.
Anforderungen
- Master’s degree in computer science, machine learning, AI, or related field with excellent academic performance
- Solid experience with machine learning methods, particularly deep learning
- Very strong programming skills in Python
- Experience with at least one deep learning framework (PyTorch or JAX)
- Strong background in computer vision and probabilistic modeling
- Knowledge of representation learning, self-supervised learning, or transfer learning
- Interest in digital signal processing, physics, optics, photonics, or materials science
- Analytical skills for complex research questions and innovative solutions
- Independent, structured, and goal-oriented work manner
- Clear communication of research results
- Responsibility for research
- Effective collaboration with industrial partners
- High intrinsic motivation for research in industrial environment
- Strong interest in machine learning and computer vision for industrial applications
- Passion for solving real-world problems through research
- Very good English skills
- German language skills (plus)
Aufgaben
- Redefine boundaries of hyperspectral anomaly detection
- Combine fundamental research with industrial application
- Shape next-generation intelligent inspection solutions
- Develop advanced machine learning methods
- Evaluate self-supervised representation learning techniques
- Apply transfer and meta-learning methods
- Implement domain generalization approaches
- Analyze large volumes of hyperspectral data
- Develop data-efficient and scalable methods
- Work closely with internal and external partners
- Transfer research results into practice
- Ensure effective knowledge exchange
- Publish research in scientific journals
- Present findings at international conferences
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- JAX
- Deep learning
- Machine learning
- Computer vision
- Probabilistic modeling
- Representation learning
- Self-supervised learning
- Transfer learning
- Digital signal processing
- Physics
- Optics
- Photonics
- Materials science
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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BOBosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Renningen
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing next-gen intelligent inspection solutions for manufacturing using hyperspectral anomaly detection. Advanced machine learning and Python programming skills required. Focus on self-supervised representation learning and deep learning frameworks.
Anforderungen
- Master’s degree in computer science, machine learning, AI, or related field with excellent academic performance
- Solid experience with machine learning methods, particularly deep learning
- Very strong programming skills in Python
- Experience with at least one deep learning framework (PyTorch or JAX)
- Strong background in computer vision and probabilistic modeling
- Knowledge of representation learning, self-supervised learning, or transfer learning
- Interest in digital signal processing, physics, optics, photonics, or materials science
- Analytical skills for complex research questions and innovative solutions
- Independent, structured, and goal-oriented work manner
- Clear communication of research results
- Responsibility for research
- Effective collaboration with industrial partners
- High intrinsic motivation for research in industrial environment
- Strong interest in machine learning and computer vision for industrial applications
- Passion for solving real-world problems through research
- Very good English skills
- German language skills (plus)
Aufgaben
- Redefine boundaries of hyperspectral anomaly detection
- Combine fundamental research with industrial application
- Shape next-generation intelligent inspection solutions
- Develop advanced machine learning methods
- Evaluate self-supervised representation learning techniques
- Apply transfer and meta-learning methods
- Implement domain generalization approaches
- Analyze large volumes of hyperspectral data
- Develop data-efficient and scalable methods
- Work closely with internal and external partners
- Transfer research results into practice
- Ensure effective knowledge exchange
- Publish research in scientific journals
- Present findings at international conferences
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- JAX
- Deep learning
- Machine learning
- Computer vision
- Probabilistic modeling
- Representation learning
- Self-supervised learning
- Transfer learning
- Digital signal processing
- Physics
- Optics
- Photonics
- Materials science
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Bosch Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bosch Group
Branche
Manufacturing
Beschreibung
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Noch nicht perfekt?
- Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen - Bosch Group
PhD Thesis - Scalable and explainable End2End Driving Model (SEED)(m/w/x)
Vollzeitnur vor OrtKeine AngabeLeonberg - Bosch Group
Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction(m/w/x)
VollzeitPraktikumnur vor OrtRenningen - Bosch
PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
Vollzeitnur vor OrtKeine AngabeSchwieberdingen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
VollzeitWerkstudentnur vor OrtRenningen