📍

Working Student

No experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Nokia

Telecoms and network infrastructure company
75.5
Palpable Score
Apply >view company >

Join Nokia as a Working Student, where you will play a vital role in integrating Artificial Intelligence (AI) and Machine Learning (ML) into our innovative projects. You’ll collaborate with experienced professionals to tackle real-world challenges and contribute to groundbreaking solutions that align with our mission to lead in technology and innovation. This unique opportunity allows you to develop hands-on experience while making a tangible impact on how we utilize AI and ML in our products and services, all within a dynamic and supportive team environment. Your contributions will help shape the future of telecommunications!

Your responsibilities

AI/ML Research and Development:

Data Preparation and Analysis:

Model Development and Testing:

Integration and Deployment:

Documentation and Reporting:

Collaboration and Communication:

Your skills and experience

Workplace: Germany, ULM

Work is on site/hybrid

About the company

Nokia

Company overview
Nokia is a global telecommunications and technology company that develops network infrastructure, software and services for mobile, fixed and cloud networks. It serves telecom operators, enterprises and public sector organisations worldwide.

Locations and presence

Nokia operates in around 130 countries, with large hubs across Europe, India, North America, and Greater China. Nokia states a global flexible working standard that supports remote or home-based working when the role does not require presence on a specific site.

Palpable Score

75.5
/ 100
Nokia gives graduates and students multiple real entry points, with structured internship and co-op cycles plus a visible graduate community that helps early-career hires build networks across regions. Nokia is less consistent on hiring predictability outside the student hiring playbooks, and the company’s multi-year cost savings and headcount reduction program adds some uncertainty to early-career outcomes.
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