Ph.D. Opportunity- Funded

Role Overview: You will be working on developing intelligent, accessible, and next-generation solutions for cardiac monitoring and diagnosis using non-conventional and easy-to-acquire physiological signals. The research aims to design smart, sensor-driven systems enhanced with signal processing, machine learning, and AI techniques to make cardiac health monitoring more efficient, affordable, and globally scalable. This position offers an exciting opportunity for motivated researchers who wish to combine engineering innovation with healthcare impact, contributing to the future of cardiac care. Key Responsibilities: - Conduct research in biomedical signal acquisition, processing, and interpretation - Develop and integrate sensor-based hardware systems for cardiac monitoring - Apply machine learning and AI methods for pattern recognition and automated diagnosis - Perform data analysis, validation, and optimization of algorithms - Publish research findings in peer-reviewed journals and conferences Qualification Required: - M.Tech/M.E. degree in Biomedical Engineering, Electronics and Communication Engineering, Electrical Engineering, Computer Science, or related disciplines - Strong background in one or more of the following areas: Signal Processing, Machine Learning / Artificial Intelligence, Instrumentation and Embedded Systems, Programming (Python/MATLAB/C/C++) - Good analytical and problem-solving skills - Passion for research in healthcare technology Company Details: The SRM Institute of Science and Technology (SRM IST) offers fully funded Ph.D. fellowships for qualified candidates. The institute provides a monthly stipend, an opportunity for hands-on interdisciplinary research, access to advanced research labs and tools, scope for international collaborations, joint projects, and research visits with global universities, and a supportive and innovative research environment. (Note: There are no additional details of the company mentioned in the job description),