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IASRI jobs for SRF Agril. Economics in Delhi. Last Date to apply: 25 Feb 2016

SRF Agril. Economics

IASRI
salary-icon Not disclosed
qualification-icon MA, MSc
Expired

Posted: 05 Feb 16

Job Description

SRF Agril. Economics job position in Indian Agricultural Statistics Research Institute (IASRI)

Qualification: Post-Graduation in Agricultural Statistics/ Mathematical Statistics/ Agril. Economics/ Economics/ Computer Science/ Computer Application or equivalent with 4 years/5 years of Bachelor's degree. Or 3 years Bachelor's degree with 3 years professional Master's degree like M.Sc (Ag.), MCA Or Candidates having post graduate degree in Basic Sciences with 3 years Bachelor's degree and 2 years Master's degree should have NET* & equivalent qualification & with at least 02 years research experience. Experience of working in R/SAS software. Experience of working with NSSO data .Good Communication skills .


NET examination, any national level examination conducted by the Central Govt. Departments/ agencies for admission to Ph.D. programme are considered as NET for the purpose of RA/SRF. The following are some of the NET examinations:  CSIR-CSIR-UGC National Eligibility Test . MHRD-Graduate Aptitude Test in Engineering admission. DBT-Biotechnology Eligibility Test & Test conducted in Bioinformatics by Bioinformatics National Consortium.  DAE-JEST & JGEEBILS, NBHM  ICMR-JRF Entrance Examination lCAR-Test conducted by lCAR for admission to Ph.D. programme.

No.of Post: 1

Pay Scale : Consolidated Rs. 25000/- per month + 30% HRA for first and second year and consolidated Rs. 28000/- per month + 30% HRA for third year by following ICAR instructions, if any. TDS will be deducted as per norms.

Age Limit : 35 years

Job Particulars

Role others
Education MA, MSc
Who can apply Freshers
Hiring Process Walk - In
Employment TypeFull Time
Job Id162729
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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