Internship in Visual Computing
vor 3 Monaten
Company Overview:
Robert Bosch GmbH is dedicated to pioneering innovative technologies and services that inspire enthusiasm and enhance the quality of life. We prioritize a collaborative environment where our associates can thrive, enjoy their work, and motivate one another.
As an intern, you will engage in the development of advanced data analysis methodologies utilizing computer vision and image processing techniques aimed at identifying anomalies and patterns.
Key Responsibilities:- Develop and implement computer vision/image processing techniques for the analysis of anomalies and patterns.
- Utilize computer vision algorithms to identify components or objects of interest within the Device Under Test and apply image processing methods to detect anomalies.
- Work on computer vision models specifically designed for processing thermal imagery.
- Education: Currently pursuing a Master's degree in Computer Science, Electronics, Electrical Engineering, Mechatronics, Engineering, or a related field.
- Skills: Proficient in Python and C# programming languages; solid practical experience with various image processing and computer vision algorithms.
- Personal Attributes: A responsible, communicative, and adaptable individual.
- Language Proficiency: Good command of written and spoken English; basic knowledge of German is preferred.
Internship Duration: 6 months
Work Schedule: 35 hours per week with flexible hours.
We provide:
- A dedicated mentor to guide you throughout your internship.
- A modern work environment with options for remote work.
- Opportunities to connect with our student network in Stuttgart.
- Discounts available in our company dining facilities.
Applicants must be enrolled at a university. Please include your CV, academic transcripts, enrollment verification, examination regulations, and, if applicable, a valid work and residence permit.
We embrace diversity and inclusion as core values of our corporate culture and welcome applications from all individuals, regardless of gender, age, disability, religion, ethnic background, or sexual orientation.