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Summer Research Intern

Nokia

Nokia

United Kingdom
Posted on Dec 11, 2025
Apply now

Bell Labs is a worldwide research and development community that focuses its efforts on key technologies for telecommunications. It is internationally renowned as the birthplace of modern information theory, the transistor, the laser and the UNIX operating system. Nowadays we are working on the network of 2020. In this new scenario of interconnected things, people will, almost more than ever before, matter. The Social & Responsible AI team answer questions related to ethical considerations, societal impacts, and responsible practices in the development and deployment of AI. The team provides a vibrant multidisciplinary research environment with close links to top academics.

Number of Positions: 5
Duration: 3 months
Date: June to August, 2026

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.



About the Business Group

The Strategy and Technology organization drives Nokia’s future innovation by identifying value-creation opportunities, setting a unified company vision, and developing coherent business, technology, and architecture strategies. It establishes a research foundation for new products and solutions while providing critical infrastructure to support secure and effective execution across all Nokia business units.

Nokia Bell Labs, the world-renowned industrial research arm of Nokia has pioneered breakthrough foundational technologies over the past 100 years like the transistor, laser, Unix, and solar cell - shaping modern communications, computing and connectivity. Today, it drives innovation in AI, quantum computing, 6G, and space communications, bridging groundbreaking research to real-world applications with meaningful impact on society. With ten Nobel Prizes and five Turing Awards, Nokia Bell Labs continues to define the future of technology.


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.
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

Join our Social & Responsible AI team and help us answering questions related to ethical considerations, societal impacts, and responsible practices in the development and deployment of AI!
  • Enrolled in a PhD Degree in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics, or a related field.
  • Proven NLP experience, including topic clustering, text classification and sentiment analysis, and experience with other unstructured data problems.
  • Experience with recurrent neural networks and word embedding techniques such as word2vec is beneficial.Experience of building ML and NLP models in Deep Learning frameworks in Python.
  • Preferred: Experience with recurrent neural networks and word embedding techniques; Expertise in either: fact extraction, entity linking, question answering, semantic parsing, or natural language generation; Skills in visualizing/presenting data using BI tools.
  • Collaborate with our Cambridge Researchers and with worldwide colleagues, initiate novel ideas, and develop them into algorithms and applications.
  • Leverage big data to discover patterns and solve strategic business problems using structured and unstructured data sets across multiple environments.
  • Push your contribution by 1) working closely with Nokia’s business units; and 2) publishing at top-tier conferences such as ACL, NeurIPS, CoNLL, EMNLP, NACCL, EACL, ICML, ICWSM, WWW.
Apply now
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