Intern in Computer Vision for Production Quality Control(m/w/x)

## Job Description Apply now to Bosch Research and combine the best of both worlds: academic excellence and lasting impact at a company that specializes in the series production of cutting-edge technologies. We develop deep learning algorithms that utilize computer vision for quality control in manufacturing. Our goal is to design advanced and robust data-driven methods that can effectively be tailored to various scenarios in production environments. We are looking for an intern in the field of anomaly detection for computer vision. As an intern, you will play a key role in shaping the future of computer-vision technology for quality control in production. Work closely with our motivated team and benefit from regular exchanges. Join us in shaping new technologies and products! * During your internship, you will work within Research & Development and Production teams at Bosch to advance computer-vision-based anomaly detection algorithms for quality assessment in series production. * You will actively support the team in understanding the data and identifying research directions (e.g., transfer and meta-learning, foundational models, etc.). * Furthermore, you will evaluate deep-learning methods using frameworks such as TensorFlow and PyTorch to identify suitable AI solutions for in-line deployment. * Finally, you will build prototypes to test and demonstrate research ideas with team members. ## Qualifications * **Education:** studies in the field of Computer Science, Machine Learning, Electrical Engineering, Physics or comparable with good to very good study grades * **Experience and Knowledge:** good knowledge and practical experience in programming languages/frameworks like Python, TensorFlow, PyTorch * **Personality and Working Practice:** you are highly motivated to learn new knowledge and make an impact you handle complex tasks independently as well you communicate clearly and effectively * **Languages:** business fluent in English ## Additional Information **Start:** according to prior agreement **Duration:** 6 months 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.