DU JRF Atmospheric Studies Recruitment 2026

DU JRF Atmospheric Studies Recruitment 2026: Overview

Dibrugarh University (DU) is engaging a Junior Research Fellow (JRF) at its Centre for Atmospheric Studies in Dibrugarh, Assam. The role belongs to an Indian Space Research Organisation (ISRO) RESPOND project on modelling Total Electron Content (TEC) over the North Eastern Region (NER) Equatorial Ionization Anomaly (EIA) region for navigational applications. It is a temporary project engagement linked to this research work.

Service Conditions and Caveats

• Initial appointment: You will join for one year initially. The notice allows an extension based on performance, so the initial appointment and the full project duration should be understood separately.
• Project period: The project has a three-year tenure. This does not mean that the first appointment automatically covers the entire project period. The performance-based extension condition still applies to the fellow.
• Travel costs: The university will not pay travel or daily allowance for attending the interview. You will need to arrange your own journey to Dibrugarh and cover those attendance costs.
• Communication: The selected applicant will receive an email from the university. Keep the contact details in your CV accurate so that the selection message can reach you.

Application Submission Notes

The walk-in venue is the Centre for Atmospheric Studies, Dibrugarh University, Dibrugarh, and the interview is scheduled for 10:30 am. Your CV should reflect publication details, and it is to be handed to the interview panel with the supporting material specified in the notice.

The notice names Dr Barsha Dutta as the project contact and gives barsha@dibru.ac.in for correspondence. The stated application route is attendance at the walk-in interview, with the panel receiving your application material at the university.

• Collect data from NavIC satellite receivers at the project stations.
• Analyse Total Electron Content data from all stations.
• Develop and run the project’s TEC model.
• Build a mobile app for access to real-time TEC data.
• Compare model output with the IRI model.
• Validate model results against real-time analysis of NavIC receiver data.