• Duration: 6 months / Flexible
• Target start date: Spring 2026 / Flexible
• Educational recommendations: Current MSc students in relevant areas, such as Telecommunications
• Location: Espoo, Finland

Your core mission is to contribute to the development and evolution of advanced simulation models that support 5G, 6G, and future mobile technologies, as well as the long-term evolution of Digital Twin based simulators. You will work on algorithm development, feature specification, and performance analysis to ensure simulations accurately reflect real-world network behavior. By collaborating closely with cross-functional teams, standardization bodies, and customers, you will help shape next generation mobile networks and support Nokia’s mission to connect people and devices seamlessly through innovative telecommunications solutions.

• Master's studies or equivalent in telecommunications
• Experience with simulation tools and frameworks (e.g., MATLAB, Simulink, or similar)
• Good knowledge of telecom Digital Twin
• Familiarity with 3GPP specifications
• Knowledge of GPU programming (e.g., CUDA, OpenCL) and parallel computing
• Proficiency in programming languages such as Python, C and C++
• Experience with AI/ML techniques for predictive modeling and optimization
• Good analytical skills and fluency in written and spoken English

Kindly note that to be able to work as a trainee at Nokia Finland, you must hold an active student status and be located in Finland since international relocation support is not available for trainee positions.

• Validate advanced algorithms for the Nokia RAN System, focusing on 5G, 6G and future technologies
• Develop MN RAN system simulations to ensure alignment with evolving product requirements
• Participate in analysis of customer feature requests, and simulation requirements
• Collaborate with standardization delegates to align on functions and procedures for optimal support
• Utilize strong analytical skills to guide simulation design and performance analysis, ensuring key performance indicators are met
• Participate the architecture and roadmap design of MN RAN Digital Twin to support new products and advanced simulations
• Innovation to enable AI/ML to support work efficiency and promote product performance