Junior Research Fellow (PhD)

Description

Qualification: B.Tech/ B.E or M.E/ M.Tech, First class in Matriculation and +2.. B.Tech /B.E in CSE/ IT/ AI/ DS/Atmospheric Science/Oceanography/Remote Sensing with minimum CGPA of 6.5 or 60% with valid GATE Score.. M.E/ M.Tech in CSE/ IT/ AI/ DS/Atmospheric Science/Oceanography/Remote Sensing with minimum CGPA of 7.0 or 65% from a recognized Technical Institute/University.. Desirable: Strong programming skills in Python or MATLAB. Prior hands-on experience or coursework in Machine Learning, Deep Learning, and Advanced Ensemble Learning techniques, Familiarity with handling high-dimensional environmental datasets, satellite remote sensing observations, and GIS tools (ArcGIS/ QGIS). Basic understanding of feature engineering methodologies like PCA, RFE, and Extra Trees Classifiers, Candidates with GATE qualification will be given priority.. Candidates should have a First class in Matriculation and +2, along with a B.Tech/B.E or M.E/M.Tech degree in relevant fields with specified CGPA or percentage and a valid GATE score for B.Tech/B.E.. Streams: M.Tech, B.Tech, B.E, Graduate.

Required Skills

Eligibility Text