National Institute of Solar Energy invites application from eligible candidates for Walk-in-Interview for the following posts:

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. Or

• 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 and 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).

• Proficiency with database programming languages such as SQL, R or Python.

• Must have working experience with GIS based mapping tools.

• Excellent written and verbal communication.

Desirable:

• 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, including advanced machine learning techniques.

Place of Interview: NationalInstitute of Solar Energy (NISE), Gwal-Pahari, Gurugram.

For more details related to eligibility criteria, fee, pattern, annexures, place of posting etc. refer to the attachments below.