Summary
The Centre for Networked Intelligence (CNI) is now accepting applications for a Research Intern position for the Spring and Summer semesters of 2026. This opportunity is ideal for students passionate about distributed systems and sustainable computing.
- 📢 Research Intern Position (Spring & Summer 2026) – Applications open for Spring (Jan–May, minimum 16 weeks) and Summer (May–Aug, minimum 12 weeks) at the Distributed Systems Research Group.
- 🖥️ Research Focus Areas – Sustainable computing for ML training/inference, Distributed ML over heterogeneous systems, and Data Center-optimized network transport protocols (systems & networking focused, not ML applications).
- ⚙️ Strong Systems Background Required – Hands-on experience with Linux/Unix OS setup/modification, deep understanding of OS, computer architecture, and computer networks is mandatory.
- 💻 Technical Skills Needed – Proficiency in C/C++, Python, data structures & algorithms, shell scripting, development tools (git, debuggers, profilers), and solid probability & statistics knowledge.
- 🔬 Research-Intensive Internship – Goal-driven schedule aimed at research publications and working prototypes; requires strong self-learning ability and commitment to experiments.
- 🏆 Career Benefits – Authorship in publications and software, exposure to advanced research, and strong CV boost; past interns secured admissions to top global universities and reputed companies.
- 🤝 Collaborative Environment – Work closely with senior researchers, PhD scholars, and IISc faculty in a high-impact research team.
- 📍 Location & Format – Full-time, paid, in-person internship at the entity[“organization”,”Indian Institute of Science”,”bengaluru india”] campus, Bengaluru (off-campus PG accommodation available).
- 🌐 About CNI – entity[“organization”,”Centre for Networked Intelligence”,”research centre india”] is an industry-sponsored center focused on next-generation networking methodologies and intelligent network solutions.
- 🛠️ Key Responsibilities – Design and conduct experiments, perform quantitative data analysis, and develop/evaluate software tools, models, and algorithms.
- 🎓 Eligibility – Undergraduate/Graduate students in Computer Science, Electrical Communication, or related engineering fields with strong quantitative and programming skills.
- 📅 Application Deadlines – Spring 2026: December 15, 2025 | Summer 2026: February 28, 2026.
- 📝 How to Apply – Submit your application by filling out the official online form.
Designation
Research Intern
| Title | Details |
|---|---|
| Research Area | Distributed Systems Research |
| Location | Indian Institute of Science, Bengaluru |
| Duration | Spring: Min. 16 weeks, Summer: Min. 12 weeks |
| Internship Type | Full-time, Paid |
Research Areas
- Sustainable computing for model-training and inference in machine learning (ML)
- Distributed ML over heterogeneous compute environments
- Network transport protocols optimized for Data Center workloads
Eligibility/Qualification
- Undergraduate or graduate student in Computer Science, Electrical Communication, or related engineering disciplines
- Proficiency in Linux/Unix operating systems and command-line interface (CLI)
- Strong background in data structures, algorithms, and programming (C/C++, Python)
- Solid foundation in probability and statistics
- Evidence of past projects or open-source contributions is a plus
Description
Interns will engage in designing, implementing, and conducting experiments on testbeds, applying quantitative analysis and data modeling techniques, and contributing to the development and evaluation of software tools, models, and algorithms. This internship is focused on research with a goal-driven intensive schedule aiming for publications and working prototypes.
How to Apply
Interested candidates should fill out the application form available on the CNI website. Ensure to include links to past projects or contributions that demonstrate your qualifications.
Last Date for Apply
- Spring 2026 Semester: December 15, 2025
- Summer 2026 Semester: February 28, 2026
For more details and to apply, please visit the Centre for Networked Intelligence’s official application page.



