University of Kashmir Seeks Junior Project Fellow for Glaciology Research
Srinagar, Feb. 15 (InsightKashmir.com): The University of Kashmir is actively seeking a motivated candidate to join as a Junior Project Fellow for a significant research endeavor titled “An integrated approach for assessing the impact of light absorbing particles (LAPs) on snow depletion and glacier recession in Kashmir Himalaya using remote sensing, field investigation, and geochemistry.” This project, generously funded by the J&K Science Technology and Innovation Council, will be spearheaded by Dr. Irfan Rashid, Senior Assistant Professor in the Department of Geoinformatics at the University of Kashmir.
The position is temporary and co-terminus with the project’s duration, expected to span two years. The selected candidate will receive a consolidated monthly salary of Rs. 20,000.
Eligibility Requirements
Essential:
- M.Sc. in Geoinformatics
Desirable:
- Experience in cryosphere-related fieldwork
How to Apply
Interested individuals are encouraged to submit their applications online via the Google Form link provided in the advertisement. The application deadline is February 20, 2024.
Selection Process
Shortlisted applicants will be invited for an interview, to be conducted in the Office Chamber of the Head of the Department of Geoinformatics.
About the University of Kashmir
The University of Kashmir, located in Srinagar, Jammu and Kashmir, India, stands as a prestigious public institution established in 1948. Renowned for its academic excellence, it offers a diverse array of undergraduate and postgraduate programs across various disciplines.
About the Research Project
This pioneering research initiative aims to delve into the impact of light absorbing particles (LAPs) on snow depletion and glacier recession in the Kashmir Himalaya. LAPs, minute particles that absorb solar radiation, accelerate the melting of snow and ice. The project employs a multifaceted approach encompassing remote sensing, field investigation, and geochemistry to gather comprehensive data.