IIT Kharagpur JRF Recruitment 2026

IIT Kharagpur JRF Recruitment 2026: Overview

Indian Institute of Technology Kharagpur (IIT Kharagpur) is engaging a Junior Research Fellow (JRF) in Industrial and Systems Engineering for a project on real-time flood monitoring with unmanned aerial vehicles. The research is developing a decentralised machine-learning framework, bringing together sensing, edge devices, field data and models that can support quicker understanding of flood conditions. This is an interdisciplinary engineering role rather than a purely theoretical fellowship, and the project points toward practical work with Python and embedded computing platforms. The recruitment carries reference IIT/SRIC/R/MBF/2026/102, which distinguishes it from the institute's other active JRF advertisements.

The project theme is especially relevant where centralised connectivity may be unreliable during a flood. A decentralised approach can let separate devices process or share observations closer to the area being monitored, while UAVs can extend coverage over locations that are difficult to reach. The fellow may therefore work across experiment design, device setup, model testing and the interpretation of sensor or image data. Careful validation will matter as much as model performance, because a monitoring framework must produce consistent outputs under changing environmental and communication conditions.

Service Conditions and Caveats

• Project appointment: IIT Kharagpur lists the JRF as a temporary position linked to the flood-monitoring research project, not as a regular institute post.
• Academic pathway: The selected fellow is expected to pursue a full-time Ph.D. or M.S. at IIT Kharagpur. Treat this as a central commitment when deciding whether the role fits your plans.
• Research setting: The work belongs to Industrial and Systems Engineering but draws on electronics, communications, machine learning, embedded devices and UAV-based monitoring.
• Reference control: Use IIT/SRIC/R/MBF/2026/102 for the vacancy and application; the SRIC list includes several independent fellowships.
• Published pay information: The specific job page leaves its consolidated-compensation field blank, so this listing does not assume a stipend figure.

Application Submission Notes

The online application link is attached to this exact SRIC reference and opens the IIT Kharagpur recruitment login. Start from the specific vacancy page when checking the post, since the broader advertisement index mixes projects from many departments and principal investigators. Keep the reference number with your application record so that later correspondence can be matched to the flood-monitoring project. The job page is the primary public summary here; no separate direct PDF was supplied in the bundle.

Your application should make the link between your electronics or communications background and practical computing work easy to follow. Describe relevant Python, embedded-device, sensing or machine-learning work only where you can support it with a project, course or record. Check every entry before final submission, particularly your GATE information and academic percentage or CGPA, because both are central to the requirements shown by IIT Kharagpur.

• Develop machine-learning workflows for real-time flood monitoring
• Program data-processing and experimental tools in Python
• Set up and test embedded devices used with the UAV monitoring system
• Collect, clean and analyse sensor or aerial-observation data
• Compare decentralised models under changing field and network conditions
• Document experiments, results and technical decisions for the research team
• Prepare research outputs and contribute to the linked full-time degree work