Junior Research Fellow (JRF) Recruitment 2026 at NIT Goa – ISRO RESPOND Project

Junior Research Fellow (JRF) Recruitment 2026 at NIT Goa – ISRO RESPOND Project

The National Institute of Technology Goa (NIT Goa) invites applications from eligible and interested candidates for the position of Junior Research Fellow (JRF) under an ISRO RESPOND Programme research project involving SAR data, deep learning and vessel navigation.

Position Overview

About the Project

The JRF will work on the sanctioned research project titled:

“Resource Optimised Detection of Dark Vessels and Prediction of Vessel Navigation Direction Using Polarimetric SAR Data Based on Robust CFAR Algorithm and Lightweight Deep Learning Models.”

The project is sanctioned under the NISAR Utilization Programme of ISRO, Government of India.

Research Areas

The project primarily involves research in:

• Polarimetric SAR data

• Dark vessel detection

• Vessel navigation direction prediction

• Robust CFAR algorithms

• Lightweight deep learning models

• Remote sensing and satellite data analysis

• Artificial Intelligence / Machine Learning applications

Principal Investigator

Dr. Damodar Reddy Edla
Department of Computer Science & Engineering
National Institute of Technology Goa

Project Duration

The overall duration of the research project is 3 years.

Qualification

The qualification requirements are not visible in the provided portion of the recruitment advertisement. Applicants should refer to the complete official notification for detailed educational qualifications, eligibility requirements and desirable experience.

How to Apply

Interested candidates should follow the application procedure prescribed by NIT Goa in the complete advertisement for the JRF position.

The provided excerpt does not show the application method, required documents, application email/link or application deadline.

Important Date

Advertisement Date: 01 October 2026

Job Domain: Computer Science & Engineering / Artificial Intelligence & Machine Learning / Deep Learning / Remote Sensing / SAR Data Analysis / Satellite & Space Applications

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