ISRO jobs for JRF/RA Physics in Dehradun. Last Date to apply: 27 Oct 2018

JRF 23/1 Post

Project: Use of multi-frequency polarimetric SAR data for retrieval of crop biophysical parameters and soil moisture under variety of agricultural heterogeneities.

Qualification: M.Sc in Physics/ M.Sc. Agriculture (Agriculture Physics / Agro-meteorology / Agronomy)/ M.Sc. degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPAICP/ grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalenfl qualified in any year Essential in science subject.(OR)

M. Tech in Remote Sensing & GIS or its equivalent degree/ Electronics Engg./ Electronics & Communication Engg. Agriculture Engineering I Water Resource Engineering/ Radio Physics/ Earth sciences and degree should be in first class with an aggregate minimum of 60% or CGPA ICPI grading of 6.5 on a 10 scale or equivalent.

JRF 24/1 Post

Project: NJSAR- Crop monitoring and biophysical parameters studies using combined Sand L band data.

M.Sc in Physics/ M.Sc. Plant Physiology /M.Sc. Agriculture (Agriculture Physics) / Agro-meteorology/ Agronomy /Soil Science / Plant physiology). M.Sc. degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPAICPI grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalenfl qualified in any year in relevant subject OR

M. Tech in Remote Sensing & GIS or its equivalent degree should be in first class with an aggregate minimum of 60% or CGPA /CPI grading of 6.5 on a 10 scale or equivalent.

JRF 25/2 Posts

Project: Biodiversity Characterization at Community Level in India using EO data.

Qualification: M.Sc Forestry/ Ecology/ Botany/ Environmental Science/ Biodiversity & Conservation, RS & GS with Dissertation in forest ecosystem analysis. M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPA/CPI grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalen qualified in any year in relevant subject.OR

M. Tech in Remote Sensing and GIS or equivalent with dissertation in Forest ecoystem analysis. M. Tech or its equivalent degree should be in first class with an aggregate minimum of 60% or CGPA /CPI grading of 6.5 on a 10 scale or equivalent.

JRF 26/1 Post

Project: Soil-Vegetation -Atmosphere-Flux (National Carbon Project).

Qualification: M.Sc in Agricultural Meteorology/Agricultural Physics/Plant Physiology /Environment management / Forestry /Ecology. M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPAICPI grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalent'l qualified in any year in relevant subject.OR

M. Tech in Remote Sensing and GIS or equivalent with dissertation in Agriculture/ Forestry/ Ecology. M. Tech or its equivalent degree should be in first class with an aggregate minimum of 60% or CGPA /CPI grading of 6.5 on a 10 scale or equivalent.

JRF 27/1Post

Project:  Indian Bioresource Information Network (IBIN)

Qualification:  M.Sc in Forestry/ Ecology/ Botany/ Environmental Sciences Wildlife Sciences/ Biodiversity & Conservation / Remote Sensing & GIS.M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPA/CPI grading of 6.84 on a 10 scale or equivalent. and NET or Equivalent

JRF 28/1 Post

Project: AIRSAR-AO: Snow physical parameter retrieval and glacier dynamics using L and S band Air-SAR data and assimilation in snow/glacier models.

Qualification: B.E./ B. Tech in Agriculture Engineering/ Civil Engineering /Computer Sciences/ Electronics and Communication Engg or equivalent with · Mathematics and science at 10+2 level. B.E./ B. Tech or its equivalent degree should be in first class with an aggregate minimum of 65% or CGP A/CPI grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalent/ qualified in any year in relevant subject.
OR

M.Sc in Hydrology/Geolog/Atmospheric Science /Physics / Mathematics with Mathematics and science at 10+2 level. M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGP AlCP grading of6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalent qualified in any year in relevant subject.(OR)

M. Tech in Civil Engg/ Computer Science / Electronics and Communication Engg./ Agriculture Engg./Water Resources Engg./ Remote Sensing & GIS or its equivalent / Hydrology with Mathematics and science at 10+2 level. M.E. /M. Tech or its equivalent degree should be in first class with an aggregate minimum of 60% or CGPA/CPl grading of 6.5 on a 10 scale or equivalent.

JRF 29/1 Post

Project: Generation and validation of DEMs and feature extraction using SAR & Radargrammetry data from L&S band airbone SAR.

Project: M.Sc in Physics / Applied Physics/ Mathematics / Applied Mathematics / Electronics / Statistics / Computer Science / Geomatics / Geoinformatics / Remote Sensing or equivalent with Science (Physics / Mathematics) subject at Graduation level. M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPA/CPT grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalent OR

M. Tech in Civil Engineering / Electronics & Communication Engineering/ Computer Science & Engineering / LT. / Geomatics/ Geoinformatics I Remote Sensing or equivalent with B.E./ B.Tech./ B.Sc. Engineering (Civil/ Electronics / E.C.E./ Computer Science & Engineering / Computer Engineering/ Earth Sciences/ IT/ Geomatics / Geoinformatics/ Remote Sensing or equivalent should be in first class with an aggregate minimum of 60% or CGPA ICPI grading of 6.5 on a 10 scale or equivalent.

JRF 30/1 Post

NISAR Science Project: Dark Object Detection for Characterization of Marine Surface Slicks using PolSAR Remote Sensing.

Qualification: M.Sc in Physics /Applied Physics / Earth Science/ Remote Sensing Physical Oceanography / Computer Science with Science (Physics / Mathematics) subject at Graduation level. M.Sc degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPA/CPI grading of 6.84 on a 10 scale or equivalent. The candidate must be NET or Equivalent/ qualified in any year in relevant subject OR

M. Tech in Civil Engineering / Electronics Engineering / Electronics & Communication Engineering / Computer Science & Engineering / Information Technology / Geomatics / Applied Geology / Geoinformatics/ Physical Oceanography should be in first class with an aggregate minimum of 60% or CGPA /CPI grading of 6.5 on a 10 scale or equivalent.

JRF 31/ 1 Post

Project: Vulnerability assessment of Mountain Ecosystems due to Climate change: Ecosystem Structure and Functioning (NWH project)

Qualification: M.Sc in Botany/ Ecology/ Environment Science. M.Sc. degree should be in first class with an aggregate minimum of 65% (average of all semesters) or CGPA/CPI grading of 6.84 on a 10 scale or equivalent.OR

M. Tech in Remote Sensing & GIS or equivalent with specialization/dissertation in Forestry and Ecology. M.E. /M. Tech or its equivalent degree should be in first class with an aggregate minimum of 60% or CGP AlCP/ grading of 6.5 on a 10 scale or equivalent

JRF 32/3 Post

Project:  Indian Bio-resource Information Network (IBIN)

Qualification: M.Sc /M. Tech in Computer Science/ Computer Science & Engineering (CSE)/Software Engineering Geo-Informatics / Information Technology / Geomatics/ Remote Sensing & Geographic Information System (GIS) degree

RA 02/2 Posts

Proect:  Indian Bio-resource Information Network (IBIN)

Qualification: Doctorate or equivalent in Remote Sensing & GIS / Geomatics / Computer Science OR equivalent or having 3 (three) years of research, teaching and design and development experience after M.E./M.Tech. in Remote Sensing & GIS / Geomatics/Computer Science / Computer Application or equivalent with at least And

M.E. / M. Tech should be in first class with an aggregate minimum of 60% or CGPA /CPI grading of 6.5 on a 10 scale or equivalent .

Selection Process: On the basis of Interview.