Associate Scientist/ Associate Manager Geospatial Sciences

This role is critical to advancing the organization's mission of improving agricultural productivity and sustainability in semi-arid regions across Asia and sub-Saharan Africa through advanced remote sensing applications in agriculture. This position will be based at ICRISAT's Headquarters in Patancheru, Hyderabad, Telangana, India.

Responsibilities:

- Develop and implement methodologies for crop acreage estimation and crop type mapping using advanced remote sensing techniques.
- Conduct yield forecasting for ICRISAT mandate crops in Asia and Africa by integrating satellite data, field observations, and crop models.
- Monitor and assess crop health, stress, and growth stages using multi-temporal and multi-spectral satellite data.
- Collaborate with interdisciplinary teams to analyse cropping patterns, land use changes, and agricultural trends at regional and national scales.
- Process and analyse large datasets from cloud-based platforms (e.g., Google Earth Engine, Sentinel Hub) for agricultural applications.
- Support ground truthing and field survey campaigns to validate remote sensing analyses and improve model accuracy.
- Maintain and update geospatial databases of crop, soil, climate, and management data for agricultural monitoring and modelling.
- Contribute to the development of scalable tools and decision support systems for agricultural stakeholders.
- Publish research findings in peer-reviewed journals and present results at international conferences.

Essential Qualifications:

- Master's or PhD in Geospatial Sciences, Environmental Modelling, Agriculture, Engineering, Mathematics,



Statistics, or a related field with a focus on remote sensing of agriculture, with at least 5 years of experience in any of the above fields.
- Extensive experience in geospatial sciences, environmental modelling, agriculture, engineering, mathematics, or related domains, with a strong focus on remote sensing applications in agriculture.
- Demonstrated expertise in crop acreage estimation, crop type mapping, and yield forecasting using advanced remote sensing techniques.
- Proficient in handling and analysing multi-temporal and multi-spectral satellite data, including optical, microwave, and hyperspectral datasets.
- Strong command of remote sensing and GIS software such as ENVI, ERDAS, SNAP, Google Earth Engine, ESRI ArcGIS, and QGIS.
- Advanced programming skills in R, Python, MATLAB, or similar tools for data processing, statistical analysis, automation, and model development.
- Experience in integrating and assimilating diverse datasets, including climate, soil, satellite, and socio-economic data, for comprehensive agricultural analysis.
- Familiarity with crop simulation and modelling tools such as APSIM, DSSAT, as well as empirical and semi-empirical approaches for yield estimation.
- Strong background in statistical analysis,



including machine learning and artificial intelligence methods for agricultural and geospatial applications.
- Proven ability to design and implement field surveys and ground-truth data collection protocols for validation of remote sensing outputs.
- Demonstrated record of publishing research findings in peer-reviewed international journals and contributing to high-quality technical reports.
- Experience in developing decision support systems and scalable tools for agricultural monitoring and stakeholder engagement.
- Knowledge of agricultural systems and their interactions with climate, soil conditions, and management practices.
- Hands-on exposure to big data analytics and cloud computing platforms such as AWS and Microsoft Azure for handling large-scale geospatial datasets.
- Demonstrated innovation in developing methodologies for crop mapping, acreage estimation, and scalable monitoring solutions.
- Robust analytical, logical thinking, and problem-solving skills, with a proactive and solution-oriented approach.
- Excellent written and verbal communication skills in English, evidenced through scientific publications and technical documentation.

General:

This is a contractual role for a period of 24 months (2 years), renewable based on the performance of the incumbent and the institute's continuing need for the position.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate Manager-Associate Manager/Associate Scientist - Geospatial (Telangana)
🏢 Icrisat
📍 Telangana