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Nokia Internship 2026: Nokia is scheduled to hire for the role of Research Intern. Candidates with M.E/M.Tech/M.Sc/PhD qualifications are eligible to apply for this position. Candidates looking for an internship in Bangalore can utilize this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Candidates can apply for Wabtec Internship.

Nokia Internship 2026 – Details:

Job Role	Research Intern
Job Category	Internship
Qualification	M.E/M.Tech/M.Sc/PhD
Experience	Freshers
Stipend	Best in industry
Job Location	Bangalore
Last Date	ASAP

Detailed Eligibility:

Research Intern:

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.

Your responsibilities

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

Job Description: 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.