NIT Rourkela Recruitment 2026 | Junior Research Fellow (PhD) under MoES-Funded Project

NIT Rourkela Recruitment 2026 | Junior Research Fellow (PhD) under MoES-Funded Project

The National Institute of Technology (NIT) Rourkela invites applications from eligible candidates for two Junior Research Fellow (JRF-PhD) positions under a Ministry of Earth Sciences (MoES) sponsored research project in the Department of Computer Science & Engineering. The appointment is temporary and contractual, with an opportunity to pursue Ph.D. at NIT Rourkela as per institute norms.

Position Details

Project Title

Modelling and Predicting Glacial Lake Outburst Floods (GLOFs) in High Mountain Asian Region using Ensemble Machine Learning

Essential Qualifications

Applicants should possess:

• First Class in Matriculation and Class XII.

• B.Tech./B.E. in:

  • Computer Science & Engineering (CSE)

  • Information Technology (IT)

  • Artificial Intelligence (AI)

  • Data Science (DS)

  • Atmospheric Science

  • Oceanography

  • Remote Sensing

with

• Valid GATE Score

• Minimum CGPA of 6.5/10 or 60% marks

OR

• M.E./M.Tech. in:

  • CSE

  • IT

  • AI

  • DS

  • Atmospheric Science

  • Oceanography

  • Remote Sensing

with

• Minimum CGPA of 7.0/10 or 65% marks from a recognized institution.

Desirable Qualifications

Preference will be given to candidates having:

• Strong programming skills in Python or MATLAB

• Experience or coursework in:

  • Machine Learning

  • Deep Learning

  • Advanced Ensemble Learning Techniques

• Familiarity with:

  • Satellite remote sensing observations

  • GIS tools (ArcGIS/QGIS)

  • Basic understanding of weather forecasting methodologies

  • PCA, Random Forest, Extra Trees Classifier, and related AI techniques

• Valid GATE qualification

Job Responsibilities

The selected candidates will:

• Develop advanced ensemble machine learning models for predicting Glacial Lake Outburst Floods (GLOFs).

• Integrate spatio-temporal datasets, including satellite imagery, precipitation, glacier melt, and topographical information.

• Perform high-dimensional feature engineering and predictive modelling.

• Collaborate with numerical weather prediction systems for hazard assessment.

• Assist the Principal Investigator in project implementation, publications, technical reports, and project deliverables.

Fellowship & Benefits

• Year 1 & 2: INR 37,000 per month + HRA (as applicable)

• Year 3: INR 42,000 per month + HRA (as applicable)

• Opportunity to work on a prestigious MoES-funded research project.

• Opportunity to register for Ph.D. at NIT Rourkela as per institute rules.

• Exposure to cutting-edge research in AI, remote sensing, climate science, and disaster prediction.

How to Apply

Interested candidates should submit the prescribed application form along with:

• Self-attested copies of educational certificates and mark sheets

• GATE scorecard

• Research publications (if any)

• Experience certificates

• Other supporting documents as mentioned in the official advertisement

Applications should be submitted through the prescribed mode before the deadline.

Important Dates

Principal Investigator

Prof. Arun Kumar
Department of Computer Science & Engineering
National Institute of Technology Rourkela

Co-Principal Investigator:
Prof. Bhishma Tyagi
Department of Earth & Atmospheric Sciences

Important Notes

• The appointment is purely temporary and contractual, co-terminus with the project.

• Candidates must ensure they meet all eligibility criteria before applying.

• Only shortlisted candidates will be invited for the online interview.

• No hard copies of the application are required unless specified in the official notification.

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