Nokia is hiring for the position of Student Intern – Research in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree/ Ph.D are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
| Company Name | Nokia |
| Position | Student Intern – Research |
| Qualifications | Bachelor’s/ Master’s Degree/ Ph.D |
| Experience | Freshers |
| Location | Bangalore, India |
Key Responsibilities:
- Explore and conduct research on energy-efficient computing techniques for AI-driven wireless communication systems.
- Study and evaluate neuromorphic computing architectures and assess their applicability to wireless communication workloads.
- Develop experimental prototypes, computational models, and performance benchmarks using Python and C programming languages.
- Research and evaluate hardware accelerator concepts, including RISC-V-based acceleration, custom instruction extensions, and hardware-software co-design approaches.
- Contribute to Verilog-based hardware implementation, microarchitecture exploration, and architecture-level design and simulation.
- Evaluate and compare conventional AI computing approaches with low-power, event-driven, approximate, and neuromorphic computing techniques to identify performance and energy-efficiency improvements.
Eligibility Criteria:
- Must be enrolled in a Ph.D. or MS Research program at the time of the internship.
- Strong academic background in one or more areas, including computer architecture, VLSI/digital design, AI/ML algorithms, wireless communications, signal processing, embedded systems, or hardware-software co-design.
- Hands-on programming experience in Python and/or C.
- Ability to independently design experiments, analyze results, and refine research ideas.
- Strong understanding of algorithms, digital systems, and performance and energy trade-off analysis.
- Availability to commit to a six-month internship.
Preferred Skills:
- Exposure to RISC-V architecture, instruction set extensions, hardware accelerator design, or processor microarchitecture.
- Interest or experience in neuromorphic computing, spiking neural networks, event-driven computing, or low-power AI technologies.
- Familiarity with energy-efficient computing techniques, including quantization, sparsity, approximate computing, pruning, or workload-specific acceleration.
- Understanding of Register Transfer Level (RTL) design, hardware simulation, or FPGA/ASIC design flows.
About Company:
At Nokia, we create technology that helps the world act together. As a B2B technology innovation leader, we are pioneering the future where networks meet cloud to realize the full potential of digital in every industry. Through networks that sense, think and act, we work with our customers and partners to create the digital services and applications of the future. For our latest updates, please visit us online www.nokia.com
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