IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-B1120-KU

Students Requirements

General discipline

Computer Science / Informatics

Completed Years of Study

3

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

12 - 12 Weeks

Within These Dates

11.01.2026 - 24.04.2026

Holidays

NONE

Work Environment

-

Gross pay

10000 INR / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE- LC KARUNYA

Cost of lodging

5000 INR / month

Cost of living

8000 INR / month

Work Offered

Additional Info

1. The option to work from home is available for this offer. In this case, the available dates for the internship are from Jan 2026 - April 2026 and there will be no stipend provided.However, if the intern chooses to work at the employer's location, a stipend will be provided based on the dates specified in the 'Work Offered Field'.2. The intern is required to fill out the attached declaration form to confirm their preferred mode of internship.

Work description

Pioneer in Mind-Controlled Assistive Robotics Overview: Embark on a groundbreaking journey to develop a mind-controlled robot that empowers individuals with mobility challenges. By decoding EEG signals, you'll design a system that translates brain commands into robotic actions, granting users the freedom to interact with their surroundings through thought alone. This cutting-edge project combines signal processing, BCI integration, and user-centric design to create an assistive device that transforms lives. Objectives: 1. Develop signal processing algorithms to accurately interpret EEG signals and extract user intentions. 2. Integrate the brain-computer interface with the robot's control systems, ensuring seamless communication and responsiveness. 3. Enhance the system's user-friendliness and responsiveness to meet the unique needs of individuals with disabilities. Outcomes: 1. Mastery in EEG signal processing and decoding techniques. 2. Expertise in integrating BCI systems with robotic platforms. 3. In-depth understanding of user-centered design principles for assistive technologies. Intern's Responsibilities: 1. Design and implement signal processing algorithms for EEG analysis and intention recognition.2. Develop software interfaces for integrating the BCI with the robot's control systems. 3. Conduct user testing and iterate on the design based on feedback.

Deadline

02.08.2025