Job Description

About this role:

As a Working Student in our R&D organization, you will help accelerate innovation and new product development by improving how we use data, automation, and AI in day-to-day engineering work. You will collaborate closely with engineers and project stakeholders and deliver practical solutions that reduce manual effort and increase data reliability—turning “good ideas” into repeatable workflows and tools.

What you will do:

• Support data quality and data preparation (clean-up, structuring, metadata consistency) to make analytics and AI use cases reliable.

• Build and improve small automation solutions for recurring R&D tasks (e.g., data imports, workflows, dashboards).

• Maintain and enhance knowledge and collaboration spaces and contribute to structured documentation/archives that help teams work faster and reuse knowledge.

• Contribute directly to R&D projects by clarifying needs with colleagues and delivering outcomes in a transparent, stakeholder-friendly way.

What you will need:

• Enrollment in a relevant field such as Industrial Engineering, Data Science / AI, Computer Science / Informatics, Electrical Engineering & IT, Physics / Computational Science, (Techno-)Mathematics, or comparable (Bachelor or Master).

• Hands-on experience (or strong interest) in Python and working with data (e.g., data cleaning, analysis, automation).

• A structured, reliable, and self-driven work style; you communicate clearly and enjoy collaborating in a team environment.

• Flexibility to handle both standard and special tasks.

• Curiosity and creativity, willingness to learn, experiment, and grow.

• Fluent in English (German is a plus).

• Nice to have: practical experience implementing AI/ML solutions.

What you will gain:

• Hands-on experience with real product-level industrial data, including preparing, structuring, and improving data quality to enable trustworthy analytics and AI work.

• Exposure to complex semiconductor R&D environments and cross-team collaboration, working with multiple stakeholders and contributing to real projects and improvement initiatives.

• Development of strong analytical, problem-solving, and stakeholder management skills—you’ll translate needs into deliverables and iterate with real users.

• Experience working in a new and exploratory area, helping shape how data, automation and AI can improve R&D workflows.

• Potential opportunities to continue in a thesis/project context (depending on business need and fit) and to explore longer-term career options after graduation.

What we offer:

• Temporary contract with extension option
• Weekly working hours: max. 18 hours / week
• 19,40 € per hour
• Location: Hamburg-Stresemannallee

Talent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.

D&I Statement

As an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.

In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.