Indian Institute of Remote Sensing Recruitment JRF Civil Vacancy
Indian Institute of Remote Sensing (ISRO) Job Details- JRF Civil
Eligibility : ME/M.Tech(Civil, CSE), BSc, BE/B.Tech(Civil), MSc(Botany / Agricultural Botany, CS, Mathematics / Applied Mathematics, Phy), B.Arch, Diploma
Location : Dehradun
Last Date : 23 Nov 2015
Advt. No.: IIRS/P&GA/Estt./Rectt./14JRF Civil Jobs opportunity in Indian Institute of Remote Sensing (ISRO)
(1) Remote Sensing based hydro-meteorological data assimilation in the hydrological and weather forecasting models (EOAM Project).
No. of Post: 1 (one)
Essential Qualification: M. Tech in Agriculture Engineering / Civil Engineering / Computer Sciences / Remote Sensing / Geomatics or M. Sc in Meteorology / Atmospheric Sciences / Geo-informatics with at least two subjects from Hydrology / Mathematics / Physics at graduate level. The candidate shall be NET or equivalent* qualified in the relevant subject. Desirable Qualification: Candidates with Post-Graduate Degree or Diploma in Water Resources/ Remote Sensing / Geo-informatics with Hydrology as specialization from reputed university / institute in India / abroad, work experience in retrieval and assimilation of hydro-meteorological parameters from remote sensing, work experience with WRF, WRF-DA and VIC models and computer programming skills (C++, Matlab, Python, Grads, NCL and IDL) with knowledge of Linux will be given preference.
Duration: upto 31st March 2016.
(2) Monitoring and Assessment of Ecosystem Processes and Services in NorthWestern Himalaya: Modeling temporal and spatial pattern of North Western Himalayan cities (EOAM Project)
No. of Post: 1 (one)
Essential Qualification: Master’s degree in Urban Planning / City Planning/ Regional Planning/ Remote Sensing and GIS/ Geoinformatics/ Geomatics/ Geography (M.Sc.) with B.E Civil/ B. Arch/ B. Plan/ B. Sc Geography at graduate level. The candidate shall be NET or equivalent qualified in the relevant subject. Desirable Qualification: Candidates with computer programming skills (Python, Matlab, IDL, etc.) and experience in use of Remote Sensing and GIS will be given preference.
Duration: The fellowship will be offered initially for a period of one year, which can be extended further till the duration of the project (likely upto 2018) depending on the performance of the candidate.
(3) Automatic Retrieval system and monitoring of water, vegetation and build up at variable scales using remotely sensed images.
No. of Post: 1 (one)
Essential Qualification: M. Tech/ M. Sc in Geoinformatics/ Remote Sensing/ Geomatics or equivalent with BE in Civil/Electronics/Electrical/Computer science/IT or M.Sc Physics/ Mathematics/ Computer Science/ Applied Mathematics. The candidate shall be NET or equivalent qualified in the relevant subject. Desirable Qualification: Candidates with Diploma/working experience in Remote sensing/ Geoinformatics/advanced image processing tools and computer programming skills (C, C++, Matlab, IDL, Python, etc.) will be given preference.
Duration: 3 years (1st April 2014 to 31st March 2017)
(4) Soil – Vegetation – Atmosphere Flux Monitoring (National Carbon Project)
No. of Post: 1 (one)
Essential Qualification: M.Sc in Agriculture Physics / Agriculture Meteorology / Plant Physiology / Agronomy / Enviornmental Science / Ecology OR M. Tech Remote Sensing & GIS with specialization in Agriculture/Ecology. The candidate shall be NET or equivalent* qualified in relevant subject. Desirable Qualification: Knowledge of statistical/mathematical data processing and computer programming. Diploma in Remote Sensing & GIS applications.
Duration: The fellowship will be offered initially for a period of one year, which can be extended further till the duration of the project (likely upto 2018) depending on the performance of the candidate.
(5) Soil Vegetation Atomosphere Carbon Flux Monitoring (National Carbon Project)
No. of Post: 1 (one)
Essential Qualification: M.Sc in Botany / Ecology / Plant Physiology / Agriculture Meteorology / Forestry / Enviornmental Science / Atmospheric Science OR M. Tech in Remote Sensing & GIS with specialization in Ecology / Forestry / Enviornmental Science / Atmospheric Science. The candidate shall be NET or equivalent qualified in relevant subject. Desirable Qualification: Knowledge of statistical/mathematical data processing and computer programming. Diploma in Remote Sensing & GIS applications.
Duration: The fellowship will be offered initially for a period of one year, which can be extended further till the duration of the project (likely upto 2018) depending on the performance of the candidate.
Age limit: The age limit is 30 years on the closing date of receipt of applications but relaxable for 5 years in case of SC/ST candidates and 3 years in case of OBC candidates.
Fellowship & Duration: JRFs will be paid an amount of ` 25,000/- (Rupees Twenty Five Thousand Only) per month as fellowship. The selected candidate after having two years of Research experience in the Project mentioned above along with JRF qualification, may be considered for SRF with a fellowship of ` 28,000/- (Twenty Eight Thousand Only) per month. D.A. is not admissible. However, they will be eligible for H.R.A. as per the rules of Government. For this purpose, the fellowship amount will be taken as Basic Pay. JRF/SRFs will be allowed to avail the CHSS (medical) facility for self only. DA, CCA, Bonus, LTC, retirement benefits, etc. are not admissible.
Selection process: On the date of walk-in interview, the Qualification of the candidates will be verified with the certificates and supporting documents and with eligibility criteria viz. age & essential qualification. The walk-in interview of eligible candidates will be conducted by the selection committee and on the basis of qualification and interview performance, the candidate will be selected.
Walk-in-interview will be held on 23rd November 2015 to 24th November 2015 at IIRS Main Conference Hall, 4 Kalidas Raod, Dehradun, Uttarakhand – 248 001.
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Post No |
Date |
|
1 |
23rd November 2015 Forenoon |
|
4 |
23rd November 2015 Forenoon |
|
5 |
23rd November 2015 Afternoon |
|
2 |
24th November 2015 Forenoon |
|
3 |
24th November 2015 Afternoon |