IAESTE Internships

Location

India

Internship type

ON-SITE

Reference number

IN-2025-B1119-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

16 - 16 Weeks

Within These Dates

11.01.2026 - 15.05.2026

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 Sep 2025 - Dec 2025 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

Revolutionizing Healthcare with AI-Powered Collaborative RobotsOverview:The internship focuses on the intersection of Deep Learning and collaborative robots in healthcare. Contribute to the development of intelligent robots that enhance adaptability and user-friendliness in medical settings, ultimately improving patient care and outcomes.Objectives:1) Explore and implement various Deep Learning architectures for cobot perception and comprehension.2) Design and develop collaborative human-robot activities tailored to healthcare applications.3) Evaluate the performance and usability of the AI-powered cobots in real-world scenarios.Outcomes:1) Gain hands-on experience in applying Deep Learning techniques to robotics in healthcare.2) Develop a strong understanding of the challenges and opportunities in human-robot collaboration.3) Contribute to the advancement of assistive technologies and improved patient care.Intern's Responsibilities:1) Research state-of-the-art Deep Learning methods for cobot applications.2) Implement and test Deep Learning models for cobot perception and interaction.3) Collaborate with the team to design and validate human-robot collaborative activities in healthcare settings.

Deadline

31.07.2025