JU Deptt of Remote Sensing GIS Project Fellow Ramban JKSTIC employment opportunities notice DIP/J-2405-P 2026
JU Deptt of Remote Sensing GIS Project Fellow Ramban JKSTIC employment opportunities notice DIP/J-2405-P 2026
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Department of Remote Sensing & GIS, University of Jammu (NAAC Accredited A++ Grade University) has published an Advertisement Notice (DIP/J-2405-P) inviting applications for the position of Project Fellow in a research project sanctioned by the JK Science Technology Innovation Council, Department of Science & Technology, Bemina, Srinagar / Gandhi Nagar, Jammu, J&K, India. The project is titled “Integrated landslide susceptibility mapping using GIS and machine learning in the Ramban District of J&K”.
रिमोट सेंसिंग एंड जीआईएस विभाग, जम्मू विश्वविद्यालय (NAAC मान्यता प्राप्त A++ ग्रेड विश्वविद्यालय) ने जेके साइंस टेक्नोलॉजी इनोवेशन काउंसिल, विज्ञान और प्रौद्योगिकी विभाग द्वारा स्वीकृत शोध परियोजना में प्रोजेक्ट फेलो के पद के लिए आवेदन आमंत्रित करते हुए एक विज्ञापन नोटिस (DIP/J-2405-P) प्रकाशित किया है। परियोजना का शीर्षक “इंटीग्रेटेड लैंडस्लाइड ससेप्टिबिलिटी मैपिंग यूजिंग जीआईएस एंड मशीन लर्निंग इन द रामबन डिस्ट्रिक्ट ऑफ जेएंडके” है।
The advertisement is for 01 (One) Project Fellow position with a tenure of 2 years and monthly emoluments of Rs. 25,000/-. Essential qualification is a Master’s degree in Remote Sensing and GIS / Computer Sciences / Geology / Applied Geology / Environmental sciences or equivalent degree with at least 55% marks, with preference for candidates having computational and GIS skills. The upper age limit is 28 years (relaxable up to 5 years for SC/ST, Women, Physically Handicapped, and OBC applicants). The appointment is initially for 1 year with possible extension based on performance and funds.
यह विज्ञापन 2 साल के कार्यकाल और रु 25,000/- के मासिक मानदेय के साथ 01 (एक) प्रोजेक्ट फेलो पद के लिए है। आवश्यक योग्यता रिमोट सेंसिंग और जीआईएस / कंप्यूटर विज्ञान / भूविज्ञान / अनुप्रयुक्त भूविज्ञान / पर्यावरण विज्ञान में कम से कम 55% अंकों के साथ स्नातकोत्तर डिग्री या समकक्ष डिग्री है, जिसमें कम्प्यूटेशनल और जीआईएस कौशल वाले उम्मीदवारों को वरीयता दी जाएगी। अधिकतम आयु सीमा 28 वर्ष है (अनुसूचित जाति/अनुसूचित जनजाति, महिलाओं, दिव्यांगों और अन्य पिछड़ा वर्ग के आवेदकों के लिए 5 वर्ष तक की छूट योग्य)।
| Detail Key | Specification / Requirement |
|---|---|
| Name of the Post | Project Fellow |
| No. of Positions | One (01) |
| Tenure of Project | 2 years (Initial appointment for 1 year, extendable) |
| Emoluments | Rs. 25,000/- |
| Essential Qualification | Master’s degree in Remote Sensing and GIS / Computer Sciences / Geology / Applied Geology / Environmental sciences or equivalent degree with at least 55% marks |
| Desirable Skills | Candidates having computational and GIS skills will be preferred |
| Upper Age Limit | 28 years (Upper age limit relaxable upto 5 years for SC/ST, Women, PH, and OBC applicants) |
Landslide susceptibility mapping combining Geographic Information Systems (GIS) and artificial intelligence/machine learning tools provides vital predictive data for disaster management, slope stability analysis, and infrastructure safety in landslide-prone hilly corridors like the Ramban region in Jammu & Kashmir.
भौगोलिक सूचना प्रणाली (जीआईएस) और आर्टिफिशियल इंटेलिजेंस/मशीन लर्निंग टूल को मिलाकर भूस्खलन संवेदनशीलता मानचित्रण जम्मू और कश्मीर में रामबन जैसे भूस्खलन-प्रवण पहाड़ी क्षेत्रों में आपदा प्रबंधन, ढलान स्थिरता विश्लेषण और बुनियादी ढांचे की सुरक्षा के लिए महत्वपूर्ण भविष्यवाणात्मक डेटा प्रदान करता है।
Working as a Project Fellow under JKSTIC-funded initiatives at University of Jammu equips postgraduate researchers with practical expertise in computational spatial modeling, satellite data interpretation, spatial hazard zonation, and machine learning applications in environmental geosciences.
जम्मू विश्वविद्यालय में JKSTIC-वित्तपोषित पहलों के तहत प्रोजेक्ट फेलो के रूप में कार्य करने से स्नातकोत्तर शोधकर्ताओं को कम्प्यूटेशनल स्थानिक मॉडलिंग, उपग्रह डेटा व्याख्या, स्थानिक खतरा ज़ोनेशन और पर्यावरण भू-विज्ञान में मशीन लर्निंग अनुप्रयोगों में व्यावहारिक विशेषज्ञता मिलती है।
Employer: Department of Remote Sensing & GIS, University of Jammu
Principal Investigator: Dr. Ajay Kumar Taloor
Application Mode: Submit application on plain paper in given format (Annexure I) with CV and certificates as PDF attachment via email
Email Address: ajayktaloor[at]jammuuniversity[dot]ac[dot]in
Submission Deadline: Within 15 days from the date of publishing of advertisement in the newspaper
Notice Ref No.: DIP/J-2405-P (Dated: 1-10-2026) | PGD/RS&GIS/AKT/Project JKST&IC/26-1
Interview Note: Eligible candidates will be informed about the interview date; no TA/DA will be provided
Frequently Asked Questions (FAQs)
Q0: What is the last date of application?
A: Applications as PDF attachments must be emailed within 15 days from the date of publishing of the advertisement (Dated: 1-10-2026).
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Q2: What is the location of this opportunity? Is this a remote opportunity?
A: The position is based at the Department of Remote Sensing & GIS, University of Jammu, with project focus on Ramban District, J&K. This is an on-site research project fellowship.
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University of Jammu Department of Remote Sensing GIS Project Fellow Ramban JKSTIC DIP/J-2405-P 2026