Research Associate Post in NISE via Walk-in-Interview
Event Status : Shortlisted Candidates List Released for Interview
Timeline
Important Dates
Date of Interview | 14/02/2024 |
Application Closing Date | 19/09/2023 |
Application Opening Date | 30/08/2023 |
Other Important Information
Appointment Type | Direct Recruitment |
Application Submission Method | Online |
Age Limit | 18-35 |
Qualification Required | Doctorate, Postgraduate |
Total Vacancies | 1 |
Advertisement Number | SDD/58/2/2023-LAB |
Location of Posting/Admission | Gurugram District, Haryana, India, 122503 |
Organisation Type | Educational Institution |
Website | https://nise.res.in/ |
Place of Posting/Admission | Gurugram, Haryana, India |
Post Type | Contractual |
Age Relaxation Type | SC/ST, Other Backward Class, Person with Benchmark Disabilities, Woman |
Salary | 47000 |
Work Experience | Yes |
Interview | Yes |
Note: This information is common for all posts. For details on specific posts, refer to the official notification.
Posts Released
Important Updates
Refer to the official notification for more details.
Application Summary
National Institute of Solar Energy invites applications for the following posts via direct recruitment:
Post Name: Research Associate
Essential Qualification:
Ph.D in Electrical / Electrical & Electronics /Electronics and Communication/ Mechanical / Renewable Energy/ Computer Science Engineering/ Atmospheric Science, or related field.
M.Tech in Engineering (Electrical / Electrical & Electronics /Electronics and Communication/ Mechanical / Renewable Energy/ Computer science/Atmospheric Science), or related field with at least three years of experience in relevant field (mentioned in job requirement). Experience in solar data analysis will be preferred.
Those who have submitted their Ph.D thesis are also eligible to apply. Selection in such cases will be subject to the condition that PhD viva-voce done & declared qualified for award of PhD/awarded PhD degree before the expiry of the validity of the award offer.
The candidate applying for RA must have at least one research publication in standard refereed journal as listed in Journal Citation Reports (JCR).
Excellent written and verbal communication.
Desirable Experience:
Certification in data science and machine learning.
Understanding of solar potential assessment and forecasting.
Implement data science solutions that may involve machine learning or data science techniques.
Knowledge of statistical approaches, incl. advanced machinelearning techniques.
Proficiency with database programming languages such as SQL, R or Python.
Must have working experience with GIS based mapping tools
Application send via email to recruitment.nise@nise.res.in
For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.