Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in Manufacturing

Description du poste:

Job Description

Apply now to Bosch Research and combine academic knowledge with real-world industrial impact. In this mandatory internship, you will support the development of advanced anomaly detection methods for industrial multi-channel vision systems used in quality assessment in series production. Our goal is to design robust deep-learning models that leverage vision features to reliably detect defects across varying products and manufacturing scenarios.
* During the internship you will support the exploration of state-of-the-art approaches in anomaly detection and multi-channel vision and contribute to the development of generalizable models for quality assessment in industrial production.
* You will implement, train and evaluate models using real production data, gaining hands-on experience with industrial-scale datasets and ensuring robustness for practical deployment.
* Furthermore, you will work closely with experts from Research & Development and Production units, regularly sharing your progress and contributing to ongoing innovation in computer vision for manufacturing

Profil requis du candidat:

Qualifications

* Education: studies in the field of Computer Science, Machine Learning, Artificial Intelligence or comparable with very good grades
* Experience and Knowledge: knowledge of machine-learning fundamentals; very good programming skills in Python and in one deep learning framework (PyTorch or JAX)
* Personality and Working Practice: you excel at independently tackling complex tasks with a structured, analytical mindset, demonstrating a strong motivation to learn and maintaining clear communication throughout the process
* Work Routine: your on-site presence is required with the possibility to work remotely part of the time
* Languages: very good in English