IASRI jobs for SRF/ JRF Statistics in Delhi. Last Date to apply: 11 Apr 2016
Job Description
SRF/ JRF Statistics job position in Indian Agricultural Statistics Research Institute (IASRI)
AICRP on IFS – Voluntary Centre IASRI
Senior Research Fellow /01 Post
Qualification: Master’s degree in Computer Science/Computer Application/Information Technology/Agricultural Statistics/ Statistics or equivalent subjects, along with 4 years/5years of Bachelor’s Degree. Or Master’s degree in Computer Science/Computer Application/Information Technology /Agricultural Statistics / Statistics or equivalent subjects with 3 years of Bachelor’s degree and NET qualification *
Desirable: Good working knowledge of data analysis using statistical software.
Stochastic differenti al equation models and their applicatio ns to Agriculture
Junior Research Fellow
Qualification: Ph.D degree in Agricultural Statistics/ Statistics/Computer Application/ Computer Science/ Agricultural Economics or equivalent. Or Master’s degree in Agricultural Statistics / Statistics/ Computer Application/ Computer Science/ Agricultural Economics or equivalent with integrated degrees ,like B.Tech and M.Tech (5 years) Or Graduates with 3 years Bachelor’s degree who have acquired professional Master’s degree (3 years), like Master’s in Computer Applications and M. Tech. Or Master’s degree in Basic Sciences, like Statistics, Computer Science, and Economics who have qualified NET* and have 02 years of research experience.
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 : Age should not be more than 35 years
Job Particulars
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.