Winter Research Intern

About the Lab

BALRAM Lab is an interdisciplinary research laboratory working at the intersection of biosignal processing, artificial intelligence, machine learning, rehabilitation engineering, and intelligent measurement systems. The lab focuses on developing data-driven technologies to analyze physiological and behavioral signals, understand human states, and support rehabilitation. Research activities include biosignal acquisition and processing, multimodal physiological sensing, and machine/deep learning for intelligent healthcare applications. The lab also explores wearable and embedded sensing, human–machine interaction, and advanced human-centered sensing and measurement systems.

Role Description

The Winter Research Intern will support ongoing projects in biosignal processing, AI-driven analysis, and rehabilitation technologies in a full-time, on-site role located in Roorkee.

Key Responsibilities

• Collecting and preprocessing physiological and behavioral data.
• Implementing and testing machine learning or deep learning models.
• Assisting in the design and evaluation of sensing and measurement systems.
• Documenting experimental procedures and maintaining research records.
• Contributing to data visualization and result interpretation.
• Performing literature reviews.
• Preparing technical reports or presentations.
• Collaborating with other students and researchers.

Qualifications

• Foundational knowledge in signal processing, machine learning, or biomedical engineering, with interest in biosignals and rehabilitation technologies.
• Ability to work with data analysis tools and programming languages such as Python, MATLAB, or similar, including basic experience with scientific libraries or toolboxes.
• Familiarity with concepts in artificial intelligence or deep learning and willingness to learn relevant frameworks.
• Strong analytical and problem-solving skills, with attention to detail.
• Effective written and verbal communication skills.
• Demonstrated ability to learn independently, manage time, and adapt to laboratory workflows.
• Current enrollment in a relevant undergraduate or graduate program (e.g., engineering, computer science, neuroscience, or related fields).
• Prior research or project experience is an advantage.