Research Associate : Shiv Nadar University
Research Associate
Organization: Shiv
Nadar University
Deadline:10
Mar 2022
Location: Greater
Noida, Gautam Buddha Nagar
Job
Description (Research Associate):
Applications
are invited for the position of Research Associate (RA-1) in a Department
of Science & Technology (DST) sponsored project, “Development of AI
based DSS for Improved Crop Water Use Efficiency under Regulated Deficit Drip
Irrigation Regime in the Backdrop of Climate Change”, under the Principal
Investigator, Dr. Gopal Das Singhal, Department of Civil Engineering, School of
Engineering, Shiv Nadar University, Greater Noida, Gautam Buddha
Nagar 201314 (U.P.). The position is temporary and is available
immediately.
Essential
qualification: Ph.D. or minimum three years of research, design &
development experience after M.Sc./ME/M.Tech with at least one research paper
in SCI index journal in the below-mentioned areas:
Water
Resources/Agriculture Engineering/Remote Sensing & GIS/Computer Science
& Engineering/Electronic Engineering
Desirable: Preference
will be given to candidates having prior experience in the area of Numerical
modelling/PYTHON Language/MATLAB/Machine learning/Artificial Neural Network/
Internet of Things.
Fellowship: Rs.
47,000/- pm + 8% HRA (as per DST norms) based on educational qualification and
experience
Duration:
9 Months (purely temporary) and may be extendable.
Project
Description: The project aims to develop AI-based model for improved crop
water use efficiency under with agriculture field data, remote sensing and
physiological parameters for different seasons.
Application
and Interview: Applications with complete bio-data (with details of
qualification i.e. examination passed, year, division, the percentage of marks
from 10th board onwards, including work experience) should be sent by Emails to
the id gopal.singhal@snu.edu.in to
Dr. Gopal Das Singhal (PI), Department of Civil Engineering, Shiv Nadar
University, Greater Noida, Gautam Buddha Nagar, UP 201314 by March
10th, 2021.
Short-listed
candidates will be called for the online interview via google meet/MS team. No
TA/DA will be provided for appearing in this interview