NIT Rourkela JRF CHAAYANKAN Recruitment 2026

NIT Rourkela Junior Research Fellow Recruitment 2026: Overview

National Institute of Technology Rourkela (NIT Rourkela) is recruiting a Junior Research Fellow for CHAAYANKAN, a project using artificial intelligence and geospatial information to monitor tea plantations. The Computer Science and Engineering department is handling this contractual appointment, funded by the Indian Space Research Organisation (ISRO).

The project combines satellite images, unmanned aerial vehicle observations and field information to study tea-growing areas, plantation stress, yield, pests and diseases. Your workplace will be RRSC-East, ISRO, Kolkata, a key detail when planning for this appointment.

Service Conditions and Caveats

• Tenure: The advertised appointment runs for two years and six months. It is temporary and tied to the project, whose stated closing date is 31 March 2029.
• Research study: You may seek PhD enrolment if you meet the institute's regulations. Taking up the fellowship does not itself secure admission.
• Project rules: The funding agency's guidelines, including amendments made during the engagement, govern other terms of this appointment.
• Information accuracy: Suppressed information or documents can lead to cancellation of selection or joining. Check that the information you provide is complete and consistent.

Application Submission Notes

Send your signed application and supporting material as one PDF by email to the contacts named in the notice: arati_paul@nrsc.gov.in and nandya@nitrkl.ac.in. The notice also lists aratipaul@yahoo.com and nandy.anup@gmail.com as alternate contacts.

Include the advertisement number in your email subject so the team can identify the project. You do not need to send a hard copy to the institute. The project-fellow application form is linked from the SRICCE career page.

• Collect satellite, unmanned aerial vehicle and field data for the tea-plantation study.
• Process research data for mapping and plantation analysis.
• Analyse geospatial information using artificial intelligence and machine learning.
• Run experiments linked to project objectives.
• Develop and integrate research software.
• Document methods, software and research results.