Posted:18 hours ago|
Platform:
Work from Office
Full Time
Title of the Project
:
Development of Artificial Intelligence model for estimation, analysis and prediction of soiling and PV losses for solar photovoltaic plants .
Qualification
:
Essential- B.E/B.Tech in Electrical and Electronics/ Electronics and Communication/Computer Science Engineering/Electronics and Instrumentation or related engineering field. Minimum 60% or 6.5 CGPA in UG / PG from a recognized University/ Institute. M. Tech / M.E in Energy/Embedded system/control system/ Power Electronics/Power system/ Renewable Energy Systems or related engineering field selected through a process described through any one of the following:
A. Scholars who are selected through National Eligibility Tests -CSIR-UGC NET including lectureship (Assistant Professorship) or GATE
B. The selection process through National Level examinations conducted by Central Government Departments and their Agencies and Institutions such as DST, DBT, DAE, DOS, DRDO, MoE, ICAR, ICMR, IIT, IISC, IISER, NISER etc.
Job Description
Candidates having knowledge in simulation of solar photovoltaic systems, Artificial Intelligence, Experiments on solar photovoltaics, knowledge in Artificial Intelligence and programming, Conducting experiments and Recording data, Writing Technical articles & Reports.
Stipend
:
For GATE qualified Candidates :
JRF: Rs. 31,000 + 8% HRA (Rs. 2,480) = Rs. 33,480 per month
Sponsoring Agency
:
ASEAN India S&T Development Fund (AISTDF)
Science & Engineering Research Board (SERB)
Duration
:
12 Months
Principal Investigator
:
Dr. Rajasekar N
Professor(HAG),
Department of Energy and Power Electronics,
School of Electrical Engineering,
Vellore Institute of Technology (VIT)
Vellore - 632 014, Tamil Nadu.
Eligible candidate send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before ( 04/05/2025) through online http://careers.vit.ac.in
VIT
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