International Livestock Research Institute (ILRI) seeks to recruit a Research officer I - Remote Sensing & GIS to apply remote sensing and GIS technology to product design part of Index Based Livestock Insurance (IBLI). He/she will work with the team of economist and socio-economist to integrate geospatial skills for upgradation of IBLI product using research, stakeholder and community engagements.
Key Responsibilities

Research for Development

Contribute to the development, testing and validation of innovative remote sensing-based methods (using multispectral remote sensing sensors) to identify pastoral and agropastoral systems.
Evaluate, identify and characterize rangelands and its phenology.
Evaluate the research findings, and contribute to the writing of reports, research papers and other communication material.
Plan multiple experiments/surveys and research studies utilizing the Geographic Information System (GIS).
Manage the data collection process for primary and secondary datasets from the field soil, water, weather and crops and grassland using appropriate devices.
Manage the large data sets.


Partnerships and Stakeholder engagement

Manage existing partnerships and identify and innovative partnerships towards sharing and implementation of research findings.
Contribute to the engagement with institutional stakeholders, including to inform about climate risk financing.


Capacity Development and Knowledge Management

plan, survey and coordinate the materials and resources. required to meet the research objectives of the group.
Collect, store and curate data generated from the analytics.
Review existing literature for scientific gaps understanding.
Prepare project reports and papers for presentation.



Requirements

Master’s Degree in Geospatial Science/ Geography/ Environmental Science/Agriculture/ Ecology or other related discipline with at least 4 years’ relevant work experience of application of remote sensing and GIS on agriculture/ natural resources.
Land cover mapping, vegetation phenology, cropping system mapping, drone operations, and database management, analytics using physical (soil, water and climate) and pastoralists databases.
Proven knowledge of field data collection for geospatial analysis.   
Has good working knowledge of remote sensing and GIS software, Database and  software such as Arc GIS, ENVI and e-Cognition.
Substantial experience in scripting such as R/ Python and Google Earth Engine.
Experience of any of statistical analysis and logical development of models.
Experience of working with multi spectral satellites.
Strong written and oral communication skills in English with the ability to communicate with diverse audiences.
Proven ability to work in multi-disciplinary and multi-cultural teams with minimal supervision, and experience working across disciplines and different cultural backgrounds.
Willingness to travel frequently to rural and remote areas of project sites in different countries.
Record of publications and experience with resource mobilization and contributing to project proposals would be an asset.
Communication skills for peer reviewed publications
Programmming skills using R/ Python