IASRI jobs for SRF Computer Science in Delhi. Last Date to apply: 14 May 2019
Job Description
SRF Computer Science job opportunities in Indian Agricultural Statistics Research Institute (IASRI)
Project 'Application of Next Generation Breeding, Genotyping and Digitalization Approaches for Improving the Genetic Gain in Indian Staple Crops'
Qualification: Master Degree in Computer Science/ Computer Application/ Information Technology or equivalent with 4 year/ 5 year of Bachelor Degree OR Master Degree in Computer Science/ Computer Application/ Information Technology or Equivalent with 3 year Bachelor Degree and should have NET qualification .
Emoluments: Senior Research Fellow: Consolidated Rs. 25,000/- per month + 30% HRA (for 1st and 2nd year) and Rs.28000/- per month + 30% HRA (from 3rd year) .
Age Limit: Age for SRF should be not more than 35 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates) as on the date of the interview.
Qualification: Master Degree in Computer Science/ Computer Application/ Information Technology or equivalent with 4 year/ 5 year of Bachelor Degree OR Master Degree in Computer Science/ Computer Application/ Information Technology or Equivalent with 3 year Bachelor Degree and should have NET qualification .
Emoluments: Senior Research Fellow: Consolidated Rs. 25,000/- per month + 30% HRA (for 1st and 2nd year) and Rs.28000/- per month + 30% HRA (from 3rd year) .
Age Limit: Age for SRF should be not more than 35 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates) as on the date of the interview.
Job Particulars
Role research jrf srf
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id617926
Locality Address
State Delhi
Country India
About Company
Indian Agricultural Statistics Research Institute (IASRI) is a pioneer Institute undertaking research, teaching and training in Agricultural Statistics, Computer Application and Bioinformatics. The Institute has used the power of Statistics, as a science, blended judiciously with Information Technology and has contributed significantly in improving the quality of Agricultural Research.
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