Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
Full-timeWorking StudentOn-site
Renningen
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BOBosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Renningen
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing(m/w/x)
Renningen
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Manufacturing
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
PhD – Generative Models for Closed-loop Synthesis(m/w/x)
Full-timeWorking StudentOn-siteRenningen - Bosch Group
PhD Thesis - Scalable and explainable End2End Driving Model (SEED)(m/w/x)
Full-timeOn-siteNot specifiedLeonberg - Bosch Group
Master Thesis Data-Efficient Hybrid Machine Learning for Robust Vibration System Prediction(m/w/x)
Full-timeInternshipOn-siteRenningen - Bosch
PhD - Lifetime Prediction for Metal Sawing Operations(m/w/x)
Full-timeOn-siteNot specifiedSchwieberdingen - Bosch Group
Master Thesis Combining Imitation & Reinforcement Learning to Solve Automated Driving(m/w/x)
Full-timeWorking StudentOn-siteRenningen