Winter Research Intern

Company Description BALRAM Lab — Biosignals, AI & Rehabilitation at IIT Roorkee 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, offering interns exposure to cutting-edge research problems and tools.
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. Day-to-day tasks may include collecting and preprocessing physiological and behavioral data, implementing and testing machine learning or deep learning models, and assisting in the design and evaluation of sensing and measurement systems. The intern will document experimental procedures, maintain research records, and contribute to data visualization and result interpretation. The role may also involve literature reviews, preparation of technical reports or presentations, and collaborative work with other students and researchers in the lab.
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 for research applications.
Strong analytical and problem-solving skills, with attention to detail in experimental design, data handling, and documentation.
Effective written and verbal communication skills for preparing reports, presentations, and collaborating within a multidisciplinary team.
Demonstrated ability to learn independently, manage time in a full-time research setting, and adapt to laboratory workflows and safety practices.
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.

Work arrangement
No