Thesis in the field of ML/Reinforcement Learning in Control Engineering (iv) (m/f/d)

Do you want to turn your ideas into useful and meaningful technologies? Whether in the area of Mobility Solutions, Consumer Goods, Industrial Technology or Energy and Building Technology - with us you improve the quality of life of people around the world. Welcome to Bosch. Bosch Engineering GmbH is looking forward to your application!

Type of employment: Limited Working time: Full time Place of work: Holzkirchen bei München You develop and establish innovative solutions for RL/AI/Deep Learning/Machine Learning. You carefully coordinate tasks with other team members and departments. You are working on forward-looking projects in the steering and braking system, suspension development. Trends and developments in the field of ML infrastructure you analyze. You take on tasks and projects in the field of innovation. This brings creative ideas into the development of new technologies. You also make sure that these projects are completed on time and quality. From different perspectives you look at challenges and develop integrative approaches. You work closely with different teams and departments. We use modern means of communication to interact effectively with colleagues:insides the world. You monitor the progress of the projects and adapt strategies as needed. Start: from September Duration: 6 months

Personality: willingness to motivation and a quick understanding characterize you. Working methods: A careful and independent way of working and enjoying interdisciplinary work are of course for you. Systematically and methodically analyze your work results and, if necessary, execute follow-up measures. Experiences and know-how: knowledge in Python, Machine Learning, GenAI are required. You can also present completed training projects in python with git. Enthusiasm: Motorsport products draw their attention to you. Languages: You master the German and English language in word and writing. Education: You study Computer Science, DataScience, Mathematics, Mechanical Engineering, Electrical Engineering, Vehicle Engineering, Software Engineering or a comparable field of expertise. The prerequisite for the internship is the enrollment at a university. Please provide your application with a current enrollment certificate, study and examination regulations as well as a valid work and residence permit. Did we awaken your interest? Then we look forward to your online application!

Work-Life Balance: Flexible work in terms of time, location and work model. Health and Sports: Wide range of health and sports activities. Childcare: childcare services. Employee discounts: Advantages for employees. Free space for creative work: free space for creative work. Social counselling and care: Social counselling and brokerage services.

The future personnel department or the department will be happy to inform you about the individual service catalogue. .