ABV-Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior, is inviting applications for the position of Junior Research Fellow (JRF) in a DST-SERB sponsored project. This opportunity is ideal for candidates interested in advancing their research careers in the field of smart health monitoring systems. The project, led by Dr. Anjali, focuses on developing an Edge-AI-enabled Digital Twin for multimodal human activity recognition and health anomaly detection in smart homes.

Applications are invited from interested and eligible candidates for the following Positions. Interested Eligible candidates fulfilling the criteria may submit their applications in the prescribed format along with the detailed CV / As per the Norms.

🏢 NAME OF THE INSTITUTION

ABV-Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior

🏫 ABOUT INSTITUTION

ABV-IIITM Gwalior is an autonomous institute under the Ministry of Human Resource Development (MHRD), Government of India. It is renowned for its focus on information technology and management education, research, and development. The institute aims to foster innovation and excellence in the field of IT and management.

💼 DESIGNATION / JOB POSITION

• Junior Research Fellow (JRF)

🎯 PROJECT DETAILS

• Project Title –“Edge-Enabled Digital Twin for Multimodal Human Activity Recognition and Health Anomaly Detection in Smart Homes “
• Principal Investigator (PI) – Dr. Anjali 
• About the Project  – This project aims to develop an Edge-AI-enabled Digital Twin–based multimodal smart health monitoring system for continuous, real-time detection of physiological and behavioural anomalies. By integrating wearable sensors, WiFi CSI, IMU, and ambient IoT data with lightweight edge intelligence, the system provides privacy-preserving, personalised health monitoring and early alerts. The project will deliver an optimized edge-deployable prototype capable of robust human activity recognition, anomaly detection, and Digital Twin–driven health insights for smart-home and elderly healthcare applications.

🎓 QUALIFICATION & EXPERIENCE / REQUIREMENT

Candidates must have an M.Tech/ M.S./M.E. or equivalent in Electronics and Communication, Electrical Engineering, Computer Science and Engineering, or Information Technology. A B.Tech/ B.E./M.Sc. in the same fields is also required. In the absence of GATE/NET, a Project Associate position may be considered.

Desirable Qualification: Basics of machine learning, deep learning, human activity recognition and edge computing

The details of the required qualifications & experience along with other relevant information are available on the Institute Website.

🏆 SALARY / REMUNERATION / PAY SCALE ₹

As per the DST norms.

💺 JOB LOCATION

ABV-Indian Institute of Information Technology & Management, Gwalior, Madhya Pradesh, India.

📝 HOW TO APPLY

Candidates are requested to send their detailed CV, including academic details with percentage/CGPA, research works/projects, and work experience (if any) to anjali@iiitm.ac.in. Only shortlisted candidates will be informed through email for an interview, which will be conducted in person at ABV-IIITM Gwalior.

Interested and eligible candidates are invited to submit their applications, including an updated Curriculum Vitae, copies of relevant certificates, and a passport-sized photograph, to the specified email address.

📅 IMPORTANT DATE

The last date for receiving applications is On or Before 15th August 2026.

📫 CONTACT INFORMATION

📌 ADDRESS FOR COMMUNICATION

ABV-Indian Institute of Information Technology & Management, Morena Link Road, Gwalior- 474 015, Madhya Pradesh, India.

📣 OFFICIAL SOURCE / REFERENCE

ABV-Indian Institute of Information Technology & Management invites applications from eligible candidates for the Junior Research Fellow position in the DST-SERB sponsored project.

For more details, refer to the Official Notification.

Reference: https://www.iiitm.ac.in/public/recruitments/attachments/tAwPNZ0qtKfYdH38JL9RPbdZkrH0qIgeuvcRFIXw.pdf

This opportunity at ABV-IIITM Gwalior is a significant step for those looking to contribute to cutting-edge research in smart health monitoring systems. Interested candidates should ensure they meet the qualifications and apply before the deadline.