Position: Research Associate

We are seeking a few motivated Research Associates (RAs) to join the Distributed Systems Research group at the Centre for Networked Intelligence (CNI). The RAs will be actively involved in one of the following research projects:

• 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.

All the above projects are collaborative with leading industry and research labs. This role requires solid technical and quantitative skills and a passion for research.

Location:

Indian Institute of Science campus, Bengaluru. This is a full-time on-campus position.

About CNI:

The Centre for Networked Intelligence is an industry-sponsored research centre focused on developing next generation networking methodologies and concept solutions that can derive knowledge from evolved networks of the future.

Responsibilities:

• Design, implement, and conduct experiments on a testbed.
• Apply quantitative analysis and data modeling techniques to interpret research data, write research reports and scientific papers.
• Contribute to the development and evaluation of software tools, models, and algorithms.
• Collaborate with other team members to contribute to ongoing research projects and initiatives.

Qualifications:

• Bachelors or master’s degree in Computer Science, Electrical Communication, or related engineering disciplines.
• Proficiency in Linux/Unix operating system and CLI is a must.
• Proficiency in data structures and algorithms, C/C++ and Python programming, and development tools (debuggers, git, profilers, etc.).
• Solid foundation in probability and statistics.
• Strong problem-solving skills and the ability to think critically and independently.
• This position is open for freshers as well as experienced candidates.

Incentives for joining CNI:

• Opportunity to learn the rigor of world-class research through practice.
• Collaboration with renowned experts (industry and international academia) in the domain.
• Attribution for your contributions (research papers and open-source code) to boost your CV.
• Opportunity to work on contemporary problems with real-world impact in the systems domain.

Duration:

This is a grant-funded position and is contingent on funding availability. Contracts are typically renewed annually on satisfactory performance.

Application deadline:

December 31, 2024

How to apply:

Please fill in the form to apply.