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IASRI jobs for Research Associate Agricultural Statistics in Delhi. Last Date to apply: 24 Sep 2018

Research Associate Agricultural Statistics

IASRI
experience-icon 2 Years
salary-icon Not disclosed
Expired

Posted: 06 Sep 18

Job Description

Research Associate Agricultural Statistics job opportunities in  Indian Agricultural Statistics Research Institute (IASRI) on purely contractual temporary basis.

Project: “Robust and Efficient Small Area Estimation Methods for Agricultural and Socio-economic Surveys and Their Application in Indo-Gangetic Plain”

Qualification:  Ph.D.in Agricultural Statistics/ Mathematical Statistics/ Statistics/ Agricultural Economics/ Computer Science/ Computer Application or equivalent OR

Post-Graduation in Agricultural Statistics/ Mathematical Statistics/ Statistics/ Agricultural 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

Candidates having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/ Associateship/ Training/other engagements.

Desirable : Experience of working with NSSO data.Experience of working in R/SAS software. Good Communication skills

No.of Post:1

Emoluments : Consolidated Rs. 40000/- per month + 30% HRA for Ph.D holders and consolidated Rs. 38000/- per month + 30% HRA for Master Degree.

Age Limit : Age should not be more than 40 years for the post of Research Associate as on date of interview

Job Particulars

Education M Phil / Ph.D, MCA, MSc
Who can apply Experienced (2 Years)
Hiring Process Walk - In
Employment TypeFull Time
Job Id472752
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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