Master Thesis on Machine Learning model focused on TLC network

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Master Thesis on Machine Learning model focused on TLC network

Italy(Hybrid)

This Master's Thesis focuses on developing and automating Machine Learning models for Telecommunications (TLC) networks, specifically leveraging real-world operational data from Nokia's Microwave Radio technology to enhance high-capacity wireless backhauls and fronthaul. Throughout this journey, you will benefit from the guidance of an AI expert. This expert will provide structured guidance and continuous technical support for both the solution's development and the preparation of your Master’s thesis.

Your responsibilities

Your core responsibility will be the creation of a Machine Learning model. This model will be trained, tested, and integrated over a Nokia AI-based network analysis platform, contributing directly to our innovative solutions. This project is structured around three primary objectives:

• First, you will engage in an in-depth data discovery phase. This involves exploratory analysis and applying classical statistical methods to extract meaningful insights, define robust data preparation strategies, and guide effective feature engineering.

• Second, the project focuses on the design, development, validation, and optimization of a Machine Learning model. This stage demands methodological rigor in model selection and thorough performance evaluation to ensure high quality and effectiveness.

• Third, you will be responsible for the refinement of the codebase. This includes improving its usability and reproducibility, with particular attention to automation strategies to ensure scalability and effective deployment within the Nokia ecosystem.

Your skills and experience

You Have:

• Courses in Artificial Intelligence (AI) and Machine Learning (ML)
• Python programming skills with familiarity in standard Machine Learning frameworks
• Knowledge of data manipulation and preprocessing techniques
• Strong analytical thinking and the ability to translate methodological choices into measurable performance improvements
• Good English spoken and written
• Focus, commitment, and reliability, enabling effective interaction within multicultural and multilingual environments across multiple geographical sites

It would be nice if you also had:

• Prior knowledge of the telecommunications domain
• Strong motivation to learn domain-specific concepts, actively engage with real industrial data, propose ideas, and develop critical thinking in the context of emerging technologies

More information

Some of our benefits:

• Flexible and hybrid working schemes
• Well-being programs to support your mental and physical health
• Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
• Employee Growth Solutions to support your personalized career & skills development
• Diverse pool of Coaches & Mentors to whom you have easy access
• A learning environment which promotes personal growth and professional development - for your role and beyond

Learn about additional benefits in specific countries.

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

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Job Info

• Job CategoryCorporate Services
• Posting Date07/13/2026
• Degree LevelBachelor’s degree
• Job ScheduleFull time
• Job TypeFixed Term Student Trainee/Apprentice (3 months+)
• Job Identification33308
• Will NSA/CAPS approval be required? (E.g., accessing a US Customer Network?)No
• Role TypeIndividual contributor
• Laptop - support with ordering neededYes
• Experience levelStudent or Intern or Trainee
• LocationsVia Energy Park, 14, 32, 34, Vimercate, 20871, IT(Hybrid)
• Regular or TemporaryTemporary

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At Nokia, we want every candidate to be able to perform their best. If you need any adjustments or support during the recruitment process, please let us know. All requests are treated confidentially.

AI Statement: Nokia embraces the strategic use of Artificial Intelligence (AI) within our recruiting process to enhance the candidate experience and significantly improve our operational efficiencies. By leveraging AI-powered tools, we aim to create a more responsive and equitable journey for all applicants. Concurrently, we advocate for the intelligent, ethical, and safe use of AI by candidates and applicants when preparing and submitting their applications for our roles. This includes ensuring that any AI-generated content is thoroughly reviewed for accuracy, originality, and relevance, and that its use aligns with principles of transparency and integrity. Our goal is to foster a recruitment environment that benefits from technological advancements while upholding fairness, authenticity, and human oversight.

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