Nokia Off Campus 2026 Hiring For Research Intern | Jobs Addaa | Limited Seats

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Nokia Off Campus 2026 Hiring For Research Intern drive is scheduled for freshers across India. So if you are interested for the same kindly apply as soon as possible.

Nokia Off Campus Drive 2026: Nokia Off Campus 2026 hiring for Research Intern Role for Ph.D. or MS (Research) program graduates and any batch graduates are eligible. The detailed company eligibility and application details are given below.  

About Nokia :

We create the critical networks and technologies to bring together the world’s intelligence, across businesses, cities, supply chains and societies. With our commitment to innovation and technology leadership, driven by the award-winning Nokia Bell Labs, we deliver networks at the limits of science across mobile, infrastructure, cloud, and enabling technologies. Adhering to the highest standards of integrity and security, we help build the capabilities we need for a more productive, sustainable and inclusive world.

Job Description :

We are seeking a highly motivated and skilled Research Intern to join our team and contribute to an exciting project focused on AI-driven sensing algorithms for next-generation wireless systems. As part of the Radio Systems Research Team, you will collaborate with experienced researchers at Bell Labs to develop and evaluate advanced AI-based sensing solutions. This internship provides a hands-on learning experience, allowing you to apply your knowledge and skills in a practical and innovative research environment.

Job Title : Research Intern
Job Type : Full Time
Location : Bangalore
Experience : Fresher – 2 Years

Role and Responsibility :

  • Develop AI/ML-based signal processing pipelines for sensing applications, tailoring them to specific scenarios.
  • Build, train, and assess the performance of ML models for sensing tasks, using both simulated and real-world datasets.
  • Implement sensing modules and experimentation scripts in Python, ensuring efficient and robust code.
  • Analyze and benchmark algorithm performance, providing insights into the effectiveness of different approaches.
  • Optimize models for runtime efficiency, scalability, and real-world deployment, considering practical constraints.
  • Collaborate closely with senior researchers, contributing to algorithm design, experimentation, and evaluation processes.
  • Document research findings, code, and experimental workflows, ensuring transparency and reproducibility.
  • Stay updated with the latest advancements in AI/ML and wireless sensing, and contribute to knowledge sharing within the team.
  • Engage in regular team meetings and discussions, providing valuable insights and contributing to a collaborative research environment.

Education and Skills :

  • Enrolled in a Ph.D. or MS (Research) program, with a strong academic background in AI/ML, wireless communications, signal processing, and information theory.
  • Hands-on experience with AI/ML programming in Python, demonstrating a solid understanding of machine learning concepts and their practical implementation.
  • Availability for a 6-month internship commitment, allowing for dedicated and focused contribution to the project.
  • Exposure to 5G PHY standards is preferred, providing a deeper understanding of wireless communication protocols.
  • Experience working with practical wireless datasets is advantageous, as it enhances the ability to apply theoretical knowledge to real-world scenarios.
  • Research experience at the intersection of AI/ML and sensing (radar or ISAC) is highly valued, indicating a strong alignment with the project’s focus.
  • Familiarity with experiment design for evaluating sensing system performance is beneficial, ensuring a systematic and effective approach to research.
  • Some exposure to information-theoretic concepts relevant to wireless and sensing is preferred, providing a comprehensive understanding of the field.

How To Apply Nokia Off Campus Drive 2026 ??  

All interested and eligible candidates can apply before expire in the following link.  

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