Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated preliminary sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets.

With its premium portfolio in the car, truck, bus, two-wheel and specialty tire segment, the Tires group sector stands for innovative solutions in tire technology. Intelligent products and services related to tires and the promotion of sustainability complete the product portfolio. For specialist dealers and fleet management, Tires offers digital tire monitoring and tire management systems, in addition to other services, with the aim of keeping fleets mobile and increasing their efficiency. With its tires, Continental makes a significant contribution to safe, efficient and environmentally friendly mobility. 

Job Description

We are looking for a highly motivated student (m/f/diverse) to start this internship and/or thesis to contribute to our efforts in optimizing manufacturing processes through data-driven solutions. This internship / thesis provides a unique opportunity to work on real-world industrial challenges using machine learning techniques.

Our Machine Intelligence department as part of the Manufacturing Technology Engineering organization at our location Hannover-Stöcken oversees bringing robust and innovative AI models to the industrial machinery that manufactures tires. We are also working on topics like measurement systems, extended reality, and robotics.

Within this exciting work environment, we are offering a thesis and/or an internship starting as soon as possible (June 2025) and with a duration of  6 months. The internship can also be combined with the thesis.

Tasks include:

• Develop and implement machine learning models to analyze complex manufacturing processes.
• Collect, preprocess, and analyze structured and unstructured data from production systems.
• Experiment with various computer vision, time-series algorithms, and feature engineering techniques to improve model performance.

Qualifications

• Students (m/f/diverse) that study computer science, mechatronics, electrical engineering, mechanical engineering or similar, with a specialization in data science
• Proficiency in Python and machine learning frameworks such as TensorFlow, Pytorch etc.
• Knowledge in dealing with image, time-series, and tabular data
• Very good English language skills (written and spoken)
• German language skills are an advantage
• Good communication skills

Please attach your current certificate of enrollment and also your current transcripts of records and an extract of certificate for a mandatory internship. Those documents are mandatory for processing your application. If required, please submit your valid residence permit as well as your work permit including the additional sheet.

Applications from severely handicapped people are welcome.

Additional Information

• Attractive remuneration 
• Flexible working hours in the flexitime model
• A hybrid work environment – remote or on-site depending on team organization and tasks
• Qualified support from our specialists
• Health-oriented workplace

If you are interested to learn more about this specific Continental location, you are welcome to visite our location page: Continental / Hannover Stöcken

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.