Master Thesis Deep Learning for Multi-Channel Vision in Product Manufacturing
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Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Apply now to Bosch Research and combine academic excellence with real-world industrial this Master thesis you will contribute to the development of advanced anomaly detection methods for industrial multi-channel vision systems for quality assessment in series production. Our goal is to design a generalizable deep-learning model that leverages vision features to reliably detect defects across varying products and manufacturing scenarios.
- During your Thesis you will explore cutting-edge approaches in anomaly detection and multi-channel image processing to develop a novel generalizable model for quality assessment in industrial production.
- Furthermore you will implement train and evaluate your approach using real-world production data ensuring its robustness and suitability for industrial applications.
- Lastly you will work closely with experts from research and development as well as production regularly presenting your results and thus fostering continuous innovation in computer vision for manufacturing.
Qualifications :
- Education: advanced studies in the field of Computer Science Machine Learning Artificial Intelligence or comparable
- Experience and Knowledge: excellent machine-learning fundamentals and very good programming skills in Python and in one deep learning framework e.g. PyTorch or JAX
- Personality and Working Practice: you are able to approach complex tasks in a structured and analytical manner you have a high motivation to learn and work independently on challenging topics always communicating your results clearly and understandably
- Work Routine: we offer you the possibility to work remotely part of the time
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 - 8 months
Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records 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 2
Petru Tighineanu (Functional Department)
49 8
Work #LikeABosch starts here: Apply now!
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
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About Company
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
