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IASRI jobs for SRF Agricultural Statistics Agricultural Statistics in Delhi. Last Date to apply: 04 Oct 2017

SRF Agricultural Statistics Agricultural Statistics

IASRI
experience-icon 0 Years
salary-icon Not disclosed
qualification-icon MSc
Expired

Posted: 28 Sep 17

Job Description

SRF Agricultural Statistics Agricultural Statistics recruitment in Indian Agricultural Statistics Research Institute (IASRI)

SRF/1 Post

Project Name: “Robust and Efficient Small Area Estimation Methods for Agricultural and SocioEconomic Surveys and their Application in Indo-Genetic Plain”

Project Name:  “Pilot Study for developing State level estimates of crop area and production on the basis of sample sizes recommended by Professor Vaidyanathan Committee report”

Qualification: Master’s Degree in Agricultural Statistics/ Mathematical Statistics/Statistics Agricultural Economics/ Computer Science/ Computer Application or equivalent subjects, with 4 years/5years of Bachelor’s degree, Or 3 years Bachelor’s Degree with 3 years professional Master 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 qualification.

Desirable: (iv) Experience of Working knowledge of R/SAS software, (v) Experience of working with NSSO data, (vi) Good Communication skills.

Emoluments: Consolidated Rs. 25,000/- per month for first and second year + 30% HRA; and Rs. 28,000/- per month for third year + 30% HRA.

Age Limit : 35 years

Job Particulars

Education MSc
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id346038
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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