ZF Group

www.zf.com

2 Jobs

61,662 Employees

About the Company

ZF is a global technology company supplying advanced mobility products and systems for passenger cars, commercial vehicles and industrial technology. Its comprehensive product range is primarily aimed at vehicle manufacturers, mobility providers and start-up companies in the fields of transportation and mobility. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate as well as enhancing safe mobility. Alongside the automotive sector – passenger cars and commercial vehicles – ZF also serves market segments such as construction and agricultural machinery, wind power, marine propulsion, rail drives and test systems.

With some 168,700 employees worldwide, ZF reported sales of €46.6 billion in fiscal year 2023. The company operates 162 production locations in 31 countries.

For further press information and photos please visit: www.zf.com

Imprint: https://www.zf.com/site/meta/en/imprint.html
Data Protection: https://www.zf.com/master/media/en/corporate/m_zf_com/meta/data_protection_social_media/Data_Protection_Notice_Social_Media_EN.pdf

Listed Jobs

Company Name: ZF Group
Job Title: Physics enhanced machine learning for vibration prediction of wind turbine gearboxes
Job Description: Job Title: Intern – Physics‑Enhanced Machine Learning for Gearbox Vibration Prediction Role Summary: Provide support to the noise and vibration R&D team by developing and validating combined physics‑based and machine‑learning models for wind‑turbine gearbox dynamic behavior. Expections: - Strong analytical mindset and quick grasp of new concepts. - Ability to work independently and as part of a multidisciplinary team. - Excellent written and spoken English. Key Responsibilities: - Simulate gearbox dynamics using data‑driven (Python/ML) and physics‑based (multi‑body) models. - Research and implement methods to integrate physical knowledge into ML models (or vice versa). - Assess the robustness and generalization of developed models. - Contribute to the development of Digital Twin functionality and automated calculation tools for gearboxes. Required Skills: - Programming in Python; basic experience with machine‑learning libraries. - Foundation in mechanical engineering and data science concepts. - Understanding of drivetrain and gear technology (preferred). - Familiarity with multi‑body modelling tools (preferred). - Strong analytical, problem‑solving, and independent work abilities. Required Education & Certifications: - Current student in Mechanical Engineering (or related discipline) with a focus on Data Science or equivalent. - No specific certifications required.

Antwerp, Belgium

Hybrid

22-01-2026

Company Name: ZF Group
Job Title: Intern Digitalization (m/f/d)
Job Description: **Job Title:** Intern – Digitalization (m/f/d) **Role Summary:** Support the Digitalization team in developing and implementing digital tools for gearbox analysis and monitoring, including digital twins, big‑data performance analysis, and Industry 4.0 solutions for wind turbine gearboxes. **Expectations:** - Apply academic knowledge to real‑world digitalization projects. - Work independently while collaborating with cross‑functional teams. - Communicate findings clearly in English, both written and verbally. **Key Responsibilities:** - Implement digital twin functionality and automated calculation tools for gearboxes. - Perform big‑data analysis on gearbox fleet performance data. - Conduct business analysis, create dashboards, and generate reports (Power BI). - Explore and apply digital/Industry 4.0 technologies in manufacturing environments. **Required Skills:** - Proficiency with MS Office 365. - Programming skills in Python. - Experience with Power BI (dashboarding/reporting). - Strong analytical, problem‑solving, and quick‑learning abilities. - Excellent English communication (written & verbal). - Entrepreneurial mindset, digital orientation, and team spirit. **Required Education & Certifications:** - Currently enrolled in a Bachelor’s or Master’s program in Mechanical Engineering, Computer Science, Industrial Engineering, or a related field. - Basic knowledge of drivetrain, gear, or bearing technology and digitalization is advantageous.