Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Machine Learning, Artificial Intelligence, Python, Deep Learning, PyTorch, JAX, Anomaly Detection, Computer Vision, Data Analysis, Model Evaluation, Industrial Automation, Quality Assessment, Research And Development

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! 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. 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 Additional Information Start: according to prior agreement Duration: 6 months (confirmation of mandatory internship required) Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Matthias Kayser (Functional Department) +49 711 811 40982 Petru Tighineanu (Functional Department) +49 711 811 13878 Work #LikeABosch starts here: Apply now! #LI-DNI Legal Entity: Robert Bosch GmbH

Responsibilities

You will support the development of advanced anomaly detection methods for industrial multi-channel vision systems in quality assessment. This involves implementing, training, and evaluating deep-learning models using real production data to ensure robustness for practical deployment.