Research Intern
Nokia
Join Nokia Bell Labs, Bangalore, as a research intern in AI-driven wireless communications, collaborating with a global team at the intersection of two exciting technologies - radio systems and machine learning. You will work on prototyping AI-native 6G networks using software-defined radios, open-source cellular stacks, and GPU-accelerated edge AI platforms. The role offers hands-on experience in developing and deploying ML-based wireless components, conducting over-the-air experiments, and contributing to real-time 6G prototypes and open-source tools alongside Bell Labs researchers.
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.
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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.
- 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 Nokia Bell Labs as a research intern in AI-driven wireless communications, collaborating with a global team at the intersection of two exciting technologies - radio systems and machine learning. You will work on prototyping AI-native 6G networks using software-defined radios, open-source cellular stacks, and GPU-accelerated edge AI platforms. The role offers hands-on experience in developing and deploying ML-based wireless components, conducting over-the-air experiments, and contributing to real-time 6G prototypes and open-source tools alongside Bell Labs researchers.
You must have :
- Enrolment in a Master's/Ph. D program in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or related discipline.
- Solid foundation in wireless communications, computer networks, and/or machine learning.
- Strong programming skills in Python and C++.
- Comfortable working with Linux, embedded devices, and complex open-source projects.
Nice if you also have:
- Understanding of 4G/5G NR PHY/MAC procedures and signal structures.
- Experience deploying ML models on embedded GPU platforms. Familiarity with RF calibration, synchronisation, and real-world OTA testing.
- Contributions to open-source projects or peer-reviewed research in wireless or ML.
- Develop and extend functionalities in a machine-learning-based next-generation wireless networks prototyping framework.
- Optimize and deploy AI/ML models on GPU/accelerated edge devices.
- Configure and operate SDR hardware for baseband processing and over-the-air experiments.
- Design experiments investigating AI-native waveforms, channel estimation, end-to-end learning, and adaptive communication schemes.
- Collaborate with Radio Systems researchers of the Bell Labs Core Research team in wireless communications, machine learning, and embedded systems