IIRS-ISRO jobs for JRF MSc in Dehradun. Last Date to apply: 08 Feb 2019
Job Description
Advertisment No.IIRS/P&GA/GA./Rectt./26
JRF Job Opportunity in Indian Institute of Remote Sensing (IIRS)
Post Code: JRF 33
Project Name: Indian Bioresource Information Network (MIN)
Essential Qualifications: M.Sc in Forestry/Ecology/Botany/Environmental Sciences/ Wildlife Sciences/ Biodiversity & Conservation or Remote Sensing & GIS or equivalent with dissertation in Forestry/Ecology. 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 Remote Sensing and GIS or equivalent with dissertation in 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.
Desirable Qualification: Knowledge of plant taxonomy and application of RS& GIS in forestry and ecology. Duration The fellowship will be offered initially for a period of one year up or an earlier date (up to March 2019) which shall depend on fund availability under the project.
No. of Position(s): One (1) Post
Post Code: JRF 34
Project Name: Biodiversity Characterization at Community Level in Indian using EO data.
Essential Qualifications: M.Sc in Forestry/Ecology/Botany/Environmental Sciences/ Biodiversity & Conservation/ Wildlife Sciences or Remote Sensing & GIS or equivalent 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 Equivalent qualified in any year in relevant subject. (OR) M. Tech in Remote Sensing and GIS or equivalent with dissertation in Forest ecosystem 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.
Desirable Knowledge: of plant taxonomy and application of RS& GIS in forestry and ualificatiun ecology. The fellowship will be offered initially for a period of one year up to or an earlier date (up to March 2019) which shall depend on fund availability under the
No. of Position(s): One (01) Post
Post Code: JRF 35
Project Name: EOAM Project: Multi-sensor integration for digital recording, reconstruction and realistic 3D Modelling of UNESCO World heritage sites in Northern India.
Essential Qualifications: M.Sc from a recognized university or institution in Physics / Applied Physics / Mathematics / Applied Mathematics/ Geomatics / Geoinformatics / Remote Sensing or equivalent with Physics or Mathematics as one 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/M.E. from a recognized university or institution in Civil Engineering/Geomatics/ Geoinformatics/ Remote Sensing or equivalent with (a) B.E./B.Tech in Civil / Electronics/ECE/ Computer Science / Computer Science & Engineering (CSE)/ Software Engineering/ IT/ Geomatics/ Geoinformatics/ Remote Sensing and GIS or equivalent; or with (b) M.Sc (Physics, Mathematics, Geology) or equivalent. M.Tech or 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. (OR) B.Tech/B.E. in Civil Engincering/Geomatics/ Geoinformatics from a recognized university or institution with valid GATE/NET score; B.Tech/B.E. 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.
Desirable Qualification Knowledge of Remote Sensing, computer programming and surveying.
No. of Position(s) Three (03)Post
Post Code: JRF 36
Project Name: EOAM project: Multi-sensor integration for digital recording, reconstruction and realistic 3D Modelling of UNESCO World heritage sites in Northern India.
Essential Qualifications: M.Tech/ M.E. (with B.Tech in Computer science/IT) in Computer Science / Computer Science & Engineering (CSE)/Software Engineering degree from a recognized university or institution. M.Tech/M.E. 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. (OR) B.Tech/B.E. in Computer Science/IT/ Computer Science & Engineering (CSE) / Software Engineering from a recognized university or institution with valid GATE/NET score; B.Tech/B.E. 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.Sc from a recognized university or institution in Computer Science/IT with Physics or Mathematics as one 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.
Desirable Qualification: Knowledge of Python, Java Script, phi; PostgreSQL. Experience in GIS database creation and management using Open Source and commercial software's.
No. of Position(s): One (01)
Post Code: JRF 37
Project Name: ISRO-DMS (R&D): Remote Sensing, ground observation and integrated modelling based early warning system for climatic extremes of North West Himalayan region.
Essential Qualifications: B.Tech in Agriculture Engineering/Civil Engineering/Computer Science/Remote Sensing and GIS or equivalent with valid GATE/NET score; B.Tech/B.E. 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.Sc. in Hydrology / Geology / Atmospheric Sciences / Physics / Mathematics / Geography / Geoinformatics or equivalent with mathematics as subject in 12th standard. 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 Water Resources EngineerinWHydrology/Remote Sensing and GIS or equivalent. 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.
Desirable Qualification Candidates with knowledge of hydrology, SAR data processing and computer programming will be given preference. Duration The fellowship will be offered initially for a period of one year up or an earlier date (up to March 2019) which shall depend on fund availability under the project.
No. of Position(s): One (1) Post
Post Code: JRF 38
Project Name: DMSP project on Rainfall threshold based modelling and DInSAR based landslide movement detection and modelling.
Essential Qualifications: M. Tech. Geology/Geophysics. 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. (OR) M.Sc in Geology/ Applied Geology with Physics or Mathematics at B.Sc. 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.
Desirable Qualification: Candidates with knowledge of hydrology, SAR data processing and computer programming will be given preference. Duration The fellowship will be offered initially for a period of one year up or an earlier date (up to March 2019) which shall depend on fund availability under the project.
No. of Position(s): One (1) Post
Age limit (JRF): The age limit for JRF is 28 years on the date of walk-in interview but relaxable for 5 years in case of SC/ST candidates and 3 years in case of OBC candidates.
Fellowship & Duration (JRF): JRFs will be paid an amount of Its 25000/- (Rupees Twenty Five Thousand Only) per month as fellowship. 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. JRFs will be allowed to avail the CHSS (medical) facility for self only. As per the DOS / ISRO rules, JRFs are eligible for casual leave only. Maternity leave to female JRFs shall be as per the Department of Space /ISRO guidelines. DA, CCA, Bonus, LTC, retirement benefits, etc. are not admissible. The maximum period of engagement of JRF shall not exceed FIVE years. The fellowship will not confer any claim or right for regular appointment in any DOS/ISRO centre.
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 candidate's qualification and performance in the interview selection panel will be declared based on merit. The qualification prescribed is the minimum requirement and the same does not automatically make candidate eligible for the interview. In case of large number of candidates appearing for walk-in interview then they may be interviewed on the next day therefore candidates are advised to accordingly make their necessary arrangement.
Job Particulars
Role research jrf srf
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id555613
Locality Address
State Uttarakhand
Country India
About Company
The Indian Institute of Remote Sensing (IIRS) - an ISO 9001:2008 institute, is a constituent unit of Indian Space Research Organisation (ISRO), Department of Space, Govt. of India. Since its establishment in 1966, IIRS is a key player for training and capacity building in geospatial technology and its applications through training, education and research in Southeast Asia. The training, education and capacity building programmes of the Institute are designed to meet the requirements of Professionals at working levels, fresh graduates, researchers, academia, and decision makers. IIRS is also one of the most sought after Institute for conducting specially designed courses for the officers from Central and State Government Ministries and stakeholder departments for the effective utilization of Earth Observation (EO) data.
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