IIT Ropar Recruitment 2026 | Multiple Project Positions under IGSTC-Funded MELODY Project

IIT Ropar Recruitment 2026 | Multiple Project Positions under IGSTC-Funded MELODY Project

The Indian Institute of Technology (IIT) Ropar invites applications from eligible candidates for multiple project positions under the IGSTC-funded MELODY Project titled “Machine Learning and Remote Sensing Synergy for Sustainable Crop Production.” This Indo-German collaborative initiative aims to leverage artificial intelligence, remote sensing, and agro-ecosystem modeling to improve agricultural sustainability and crop productivity.

About the Project

Project Title:
MELODY – Machine Learning and Remote Sensing Synergy for Sustainable Crop Production

Funding Agency: Indo-German Science & Technology Centre (IGSTC)

Principal Investigators:

• Dr. Neeraj Goel

• Dr. Mukesh Saini

The project seeks to develop an Agricultural Sustainability Key Performance Indicator (ASK) tool using satellite data, AI-driven models, and field-level inputs to monitor and enhance crop production sustainability. The initiative will support policymakers, farmers, and agribusinesses through data-driven recommendations for resource optimization and environmental sustainability.

Available Positions

Total Vacancies: 6

Position-Wise Eligibility

Research Associate (01 Post)

Essential Qualification:

• Ph.D. in:

  • Computer Science & Engineering

  • Remote Sensing

  • Or related disciplines

• Degree must be obtained from a recognized university/institution.

Project Associate / JRF (02 Posts)

Essential Qualification:

• B.Tech or M.Tech in:

  • Computer Science & Engineering

  • Related engineering disciplines

• Degree from a recognized university/institution.

Technical Assistant (02 Posts)

Candidates with relevant technical expertise in project-related domains, data processing, software tools, remote sensing, or AI applications will be preferred as per project requirements.

Field Worker (01 Post)

Candidates with experience in agricultural field surveys, data collection, field operations, or related activities will be preferred.

Project Objectives

The MELODY project focuses on:

• Machine Learning for agriculture

• Satellite-based remote sensing

• Sustainable crop production systems

• Agricultural sustainability assessment

• Resource-use optimization

• Yield prediction and monitoring

• Soil carbon sequestration analysis

• Environmental impact reduction

Key Benefits

• Opportunity to work on an international Indo-German research collaboration.

• Exposure to Artificial Intelligence, Machine Learning, Remote Sensing, and Sustainable Agriculture.

• Work with multidisciplinary experts from India and Germany.

• Contribute to cutting-edge agricultural technology and sustainability research.

Selection Process

• Applications will be shortlisted based on qualifications and relevant experience.

• Shortlisted candidates will be contacted for further rounds of evaluation/interview as per project requirements.

Why Apply?

This is an excellent opportunity for candidates interested in Artificial Intelligence, Remote Sensing, Data Science, Agricultural Technology, Sustainability Research, and Environmental Modeling. The project offers hands-on experience in an internationally funded research initiative addressing real-world agricultural challenges through advanced technologies.

Interested and eligible candidates are encouraged to apply for the suitable position as per the official advertisement guidelines.

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