IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2026-D1124-MJ

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

1

Fields of Study

General

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

C++/Python

Work Details

Duration

6 - 10 Weeks

Within These Dates

06.05.2026 - 27.09.2026

Holidays

NONE

Work Environment

-

Gross pay

16000 INR / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE

Cost of lodging

8500 INR / month

Cost of living

16000 INR / month

Work Offered

Additional Info

Work description

Computer Science InternTitle of the Project: Energy-Efficient Consensus Algorithm Based on Federated Learning for IIoT ApplicationsThis project focuses on developing a scalable and energy-efficient consensus algorithm tailored for Industrial Internet of Things (IIoT) environments. Traditional consensus mechanisms often face challenges related to high power consumption or limited scalability. To address these issues, the proposed approach integrates Federated Learning (FL) with optimized consensus strategies, ensuring secure, distributed, and energy-conscious coordination among IIoT devices.The project includes designing the consensus framework, implementing prototype simulations, and evaluating performance metrics such as energy usage, latency, and model convergence under varying network conditions.Expected Outcomes:Development of a novel, energy-efficient consensus algorithm optimized for IIoT.Publication of a research paper in a reputed journal.Potential for patent filing and further extension as a funded project.This internship offers hands-on exposure to federated learning, distributed systems, and IoT optimization, fostering innovation in sustainable and intelligent industrial computing.

Deadline

26.03.2026