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Anzeigeninhalt:
10.04.2025, Continental AG
Hannover
Internship / Thesis - Machine Learning - REF81085Q
Über uns:
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 EUR39.7 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.
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.
Aufgaben:
- 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.
Qualifikationen:
- 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
Wir bieten:
- 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.
- 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
Unser Kontakt:
Contact
Inez Kruse
Weitere Informationen:
Applications from severely handicapped people are welcome.
Fachrichtung
Art des Angebots
Bundesland
Standorte