The National Institute of Solar Energy, an autonomous institute under the Ministry of New and Renewable Energy based in Gurugram, Haryana, has invited applications for two Senior Project Scientist positions on a short-term contract basis. The posts support a research project on hybrid day-ahead and intra-day solar weather forecasting for large solar parks in India, carried out with Grid India and major renewable energy developers. One post focuses on short-term solar forecasting and image analytics, the other on probabilistic forecasting and DSM analytics.
NISE Recruitment 2026 - Senior Project Scientist Posts
Posted 02 Oct 2026Updated 02 Oct 2026A-12024/2/2026-Admin
Total Vacancies
2
Last Date
13 Oct
Closed
Apply Mode
Email
Contract
Status
Application Closed
Recruitment status
Applications closed on 13 Oct 2026
- Notification22 Sept
- Applications Open
- Applications Closed13 Oct
About NISE Senior Project Scientist Recruitment 2026
Job Overview
- Organization
- National Institute of Solar Energy
- Advertisement No.
- A-12024/2/2026-Admin
- Post Name
- Senior Project Scientist (Short-Term Solar Forecasting & Image Analytics Specialist) and Senior Project Scientist (Probabilistic Forecasting & DSM Analytics Specialist)
- Job Location
- Gurugram, Haryana
- Who Can Apply
- Candidates from anywhere in India
- Job Type
- Contract
- Age Limit
- Up to 45 years
- Gender
- All
- Nationality
- Indian
- Tenure
- Initially for a period of one year, extendable on a year-to-year basis up to a maximum of two and a half years (30 months) or till completion of the project, whichever is earlier, subject to satisfactory performance and functional requirements of the Institute.
- Notice Period
- 15 days notice by either side; the institute may terminate the engagement at any time without assigning reasons by giving 15 days notice.
Vacancy Breakdown
Senior Project Scientist (Short-Term Solar Forecasting & Image Analytics Specialist)
1
UR 1
Senior Project Scientist (Probabilistic Forecasting & DSM Analytics Specialist)
1
UR 1
Total2
| Post Name | UR | Total |
|---|---|---|
| Senior Project Scientist (Short-Term Solar Forecasting & Image Analytics Specialist) | 1 | 1 |
| Senior Project Scientist (Probabilistic Forecasting & DSM Analytics Specialist) | 1 | 1 |
| Grand Total | 2 | 2 |
Eligibility Details
Requirements differ by post — open a post to see its own.
Senior Project Scientist (Short-Term Solar Forecasting & Image Analytics Specialist)1 post
- Qualification
- Bachelor of Technology (B.Tech.) in Renewable Energy / Energy Systems / Electrical Engineering / Electronics / Computer Science / Artificial Intelligence / Data Science / Atmospheric Science / Meteorology / Remote Sensing / Power Systems, or any other relevant allied discipline from a recognized University/Institute with 08 years of experience relevant to solar forecasting, renewable energy systems, modelling, data analytics, atmospheric sciences, power systems, or associated domains aligned with job description. OR Master of Technology (M.Tech.) / Master of Science (MS) in the same disciplines from a recognized University/Institute with 04 years of such experience.
- Experience
- 08 years with B.Tech, or 04 years with M.Tech/MS, in solar forecasting, renewable energy systems, modelling, data analytics, atmospheric sciences, power systems or associated domains.
- Specialization
- Short-Term Solar Forecasting & Image Analytics
- Job Description
- Develop short-term and intra-hour solar forecasting models using image-based analytics, satellite inputs and ground observations; implement computer vision and image-processing techniques for cloud detection, motion estimation and irradiance variability prediction; support development and validation of nowcasting models; integrate image-derived features into the hybrid forecasting framework; analyse high-frequency data for rapid irradiance fluctuations and ramp events; prepare technical reports, research papers and project documentation; support training, knowledge dissemination and stakeholde
Senior Project Scientist (Probabilistic Forecasting & DSM Analytics Specialist)1 post
- Qualification
- Bachelor of Technology (B.Tech.) in Renewable Energy / Energy Systems / Electrical Engineering / Electronics / Computer Science / Artificial Intelligence / Data Science / Atmospheric Science / Meteorology / Remote Sensing / Power Systems, or any other relevant allied discipline from a recognized University/Institute with 08 years of experience relevant to solar forecasting, renewable energy systems, modelling, data analytics, atmospheric sciences, power systems, or associated domains aligned with job description. OR Master of Technology (M.Tech.) / Master of Science (MS) in the same disciplines from a recognized University/Institute with 04 years of such experience.
- Experience
- 08 years with B.Tech, or 04 years with M.Tech/MS, in solar forecasting, renewable energy systems, modelling, data analytics, atmospheric sciences, power systems or associated domains.
- Specialization
- Probabilistic Forecasting & DSM Analytics
- Job Description
- Develop probabilistic solar forecasting approaches including P50, P75, P90 and ensemble-based uncertainty models; validate forecast reliability and sharpness using statistical metrics such as CRPS and quantile-based evaluation; analyse SCADA and deviation datasets to assess forecast compliance and scheduling performance; simulate reduction in DSM penalties using historical operational data; conduct techno-economic analysis to demonstrate operational benefits for utilities and system operators; assess forecast performance across diverse geographic and meteorological conditions; prepare technica
Age Limit
Maximum 45 years as on the closing date of submission of application (last date of receipt of applications)
Age Relaxation
Upper age limit is relaxable for reserved posts as per Government of India Rules. Candidates holding a PhD in a relevant field get a relaxation of two years in the experience requirement. OBC (NCL) candidates seeking age relaxation must furnish a valid certificate issued as per Central Government provisions.
Application Fee
All Categories
Nil
Selection Process
- 1Shortlisting
Applications are shortlisted by a Screening Committee based on academic records, educational qualifications and experience in the field relevant to the actual job requirements; mere fulfilment of educational qualification does not entitle a candidate to be called for interview.
- 2Interview
Shortlisted candidates are intimated separately by email. No written test is held and no TA/DA is paid for attending the interview.
Salary Structure
Rs.1,20,000 per month for the first year, Rs.1,25,000 per month for the second year and Rs.1,30,000 per month for the third year. Consolidated remuneration is inclusive of all applicable taxes; no Dearness Allowance, House Rent Allowance, residential telephone or other allowances are admissible.
How to Apply
- 1Download the prescribed application format (Annexure-I) from the NISE website www.nise.res.in
- 2Fill in the application form with personal details, educational qualifications and work experience
- 3Attach self-attested photocopies of documents in support of educational qualifications, age and experience
- 4Scan the completed application form and enclosures into a single PDF
- 5Email the single PDF to [email protected] with the subject 'Application for [Name of the position] in NISE'
- 6Send the email before the last date; no application fee is payable
Documents to Carry / Upload
•Duly filled application form in the prescribed format (Annexure-I)
•Self-attested photocopies of documents in support of educational qualifications
•Age and experience
•At the interview
•All original testimonials and one set of self-attested photocopies along with the original printed application form
Important Details
- Engagement is purely on a short-term contract basis and is temporary (non-official) in nature; it can be withdrawn at any time without assigning any reason or prior notice and carries no claim or right to regular employment in NISE.
- No HRA, medical, accommodation or other allowances are admissible, and no TA/DA is paid for attending the interview or joining.
- Shortlisted candidates must carry all original testimonials and one set of self-attested photocopies along with the original printed application form at the interview.
- Incomplete applications are rejected outright and no correspondence is entertained.
- The crucial date for determining age limit, qualification and experience is the last date of receipt of applications.
Desirable Qualification and Experience
- PhD in a relevant allied discipline; a relaxation of two years in the experience requirement is given to candidates possessing a PhD in a relevant field
- Experience in solar resource assessment, satellite data processing, numerical weather prediction (NWP) modelling, machine learning based forecasting, renewable energy modelling or power system integration studies
- Proficiency in Python based analytics using libraries such as NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch and Xarray, with experience in High Performance Computing (HPC) environments for large-scale data processing and modelling
- Experience in geospatial analysis using GeoPandas, Rasterio, GDAL or NetCDF4, and handling large meteorological, satellite or SCADA datasets related to renewable energy forecasting systems
Engagement Terms
- Engagement is initially for one year, extendable on a year-to-year basis up to a maximum of two and a half years (30 months) or till completion of the project, whichever is earlier
- Full-time engagement with working hours from 9:00 AM to 5:30 PM on working days including a half-hour lunch break; candidates may be called on Saturdays, Sundays or other gazette holidays if required
- Casual leave of 1.5 days in a calendar month on a pro-rata basis; no other regular leave is admissible
- All positions are based at NISE, Gurugram, with occasional travel to project sites, collaborating institutions and solar parks as per project requirements
- The institute may terminate the engagement at any time by giving 15 days notice; the candidate must give 15 days notice to leave, which may be curtailed or extended depending on workload
- Intellectual Property Rights over the data collected and deliverables produced remain with NISE
- Income tax or any other tax liable to be deducted is deducted at source and a TDS certificate is issued
Project Background
NISE is implementing the R&D project 'Hybrid Day-Ahead and Intra-Day Solar Weather Forecasting for Large Parks in India', supported and funded by Grid India and carried out in collaboration with major renewable energy developers operating utility-scale solar parks. The project develops, deploys and validates an advanced hybrid solar forecasting framework integrating Numerical Weather Prediction, satellite data, ground-based measurements and sky imager based nowcasting to improve forecast accuracy, scheduling reliability and grid integration of large-scale solar power.
Contact
Email: [email protected]
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