NIT Warangal JRF Recruitment 2026 - Hydrology AI

NIT Warangal is hiring 1 Junior Research Fellow (JRF) for an ANRF-funded research project on AI-based hydrological forecasting in the Department of Civil Engineering. If you have a B.Tech/B.E. in Civil or Agricultural Engineering (or a relevant Master's degree), you can apply by email. The last date to apply is 17 September 2026. You should be under 30 years of age, and the fellowship starts at Rs. 37,000 per month.

National Institute of Technology Warangal (NIT Warangal) JRF Recruitment 2026 - 1 Post

NIT Warangal has released Advertisement No. NITW/CED/WRE/NVU/JD/01 for 1 Junior Research Fellow position under an Anusandhan National Research Foundation (ANRF) funded project titled "Physics-informed AI for Hydrological Forecasting in Peninsular India" in the Department of Civil Engineering. The project combines physical hydrology principles with advanced AI/machine learning models to capture complex interactions among hydrological processes and improve flood and water-resource forecasting accuracy across peninsular India. This is a 3-year temporary research position, ideal for civil/agricultural engineering graduates with an interest in AI-driven hydrological research.

Who Can Apply?

You can qualify for this JRF position through either of these two pathways:

• Pathway 1 (Marks-based): Minimum 60% aggregate marks or 6.5 CGPA at both UG and PG level if you belong to General/EWS/OBC-NCL category (55% marks or 6.0 CGPA for SC/ST/PwD candidates). GATE is not mandatory under this route.
• Pathway 2 (Bachelor's-based): A Bachelor's degree in Engineering/Technology with at least 70% marks or 7.5 CGPA for General category (65% marks or 7.0 CGPA for SC/ST/PwD). GATE is not mandatory under this route either.
• Branch Requirement: You need a B.Tech/B.E. in Civil Engineering or Agricultural Engineering (or an equivalent degree). If you hold a Master's degree, it must be an M.Tech/M.E. in a relevant Civil Engineering specialization.
• Desirable Experience: GATE qualification, prior knowledge of hydrological modelling, programming skills in R, Python, or MATLAB, and good analytical and technical writing ability are all considered an added advantage.

Age Limit

• You should be under 30 years old to apply.
• Age Relaxation: Applicable as per NIT Warangal institute rules for reserved categories.

Salary

• You will get a fellowship of Rs. 37,000 per month for the first two years and Rs. 42,000 per month in the third year, based on your performance.
• No separate TA/DA is paid for attending the selection interview.

Selection Process

Selection for this position happens in two steps:

1. Screening of Applications: Your qualifications, GATE score (if any), and research/industrial experience mentioned in your CV are reviewed against the project requirements.
2. Interview: Shortlisted candidates are called for an interview, which may be held online or offline. No TA/DA is paid for attending the interview.

NIT Warangal will announce the list of eligible/shortlisted candidates on the institute website and also notify them through email, so keep checking your inbox after applying.

Note: If you clear GATE, you are exempted from the separate written test needed to register for a Ph.D. at NIT Warangal later. Without GATE, you would need to appear for that test at the time of Ph.D. registration. Remember that this position is purely temporary and liable for termination based on your performance.

How to Apply

1. Download the application form attached to the official notification at nitw.ac.in.
2. Fill in your personal details, educational qualifications, and GATE score (if applicable).
3. Attach a brief CV along with copies of your certificates and marks memos.
4. Submit your application as a soft copy — email the completed form to mahesh@nitw.ac.in and jdas@nitw.ac.in before the deadline.

For any queries about this position, contact Prof. N V Umamahesh (+91 9849730834) or Dr. Jew Das (7780169018), Department of Civil Engineering, NIT Warangal, at jdas@nitw.ac.in.

Important Dates

• Notification Date: 17 August 2026
• Last Date to Apply: 17 September 2026

• Assist in developing physics-informed AI/machine learning models for hydrological forecasting
• Collect and pre-process hydrological and meteorological datasets for model training
• Embed physical hydrology principles into machine learning frameworks used in the project
• Validate and benchmark AI-based forecasting models against observed field data
• Analyse model outputs to improve water resource management forecasts across peninsular India
• Document methodology and prepare technical reports and research papers
• Coordinate with the project supervisor to support ANRF-sponsored project deliverables
• Maintain accurate records of datasets, code, and research documentation