About IRRI

Job Purpose

Climate Change impacts rice production through exacerbated and more frequent climate extremes. At the same time rice fields are a large emitter of greenhouse gasses while technologies that reduce the carbon footprint in rice fields have significant differences of impacts among rice ecosystems. The greenhouse gas emission (GHGE) from rice fields has large spatial and temporal variations because of the small heterogeneities in biophysics environments and agronomic management. It is a big challenge to estimate the GHGE from rice fields up to regional, national, and global scales. Moreover, there is limited information in the global reduction potentials of GHGE associated with appropriately improved agronomic management practices. Working with various national and international partners, data cross global rice production is expected to be collected for a reliable analysis on the estimation of global total GHGE and reduction potentials. This task needs a concerted approach from an interdisciplinary team of experts.

Under the supervision of the IRRI environment and crop modeling group, and support of colleagues in collaborating research groups inside and outside of IRRI, the Agricultural AI Data Analyst will be responsible for data collection from multiple sources and data analyses with modern and traditional methods to generate meaningful outputs on national, regional, and global GHGE. The AI Data Analytic specialist will also be responsible for managing and updating databases and providing analyses of information to support the implementation of IRRI’s agricultural and climate change projects. Furthermore, the position will provide support for management and analyses of project/research data sets and research support where necessary and will be involved in the routine activities of research projects under the environment and crop modeling group.

This position will be based at the IRRI Headquarters, Los Baños, Philippines and may only be filled by permanent citizens of the Philippines.

Roles and Responsibilities

• Coordinate data collection, compilation and management from multiple sources such as research partners, available databases, literature, etc.
• Develop and implement systems for data quality control for research purposes using traditional and modern data analysis methods
• Conduct training on the use of the developed database systems and data analytics tools
• Organize collected data into a database system and develop an interoperable system for data import and export
• Select, develop, and compose appropriate traditional (environment and crop modeling) and modern (AI) data analysis technologies to build advanced analytics systems
• Conduct data analysis with the built analysis system to achieve research goals including, but not limited to, visualization tools (e.g. GIS tool) to identify the hot-spot of GHGE and advanced intervention packages for GHGE reduction in rice fields
• Contribute to the development of data analysis reports
• Support the group activities
• Take the responsibility of assigned tasks from supervisor and research projects
• Engage with project staff and research partners on the data collection and management
• Coordinate with project’ staff in the preparation of progress and annual reports.
• Assist the environment and crop modeling research relative groups in preparing different types of reports and documents as required
• Assist in facilitating mid-term and end-of-term project review
• Assist in facilitating the organization of and participating in different seminars, conferences and coordination meetings to gather information
• Assist in facilitating the organization of training courses associated with research activities
• Design and develop the data collection, quality control, assimilation, and management system
• Design and develop the AI and crop modeling integrated data analysis system
• Design, manage and conduct data analysis to quantify the GHGE and reduction potentials from rice fields at regional to global scales

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Agriculture Science, Agricultural Engineering, Information Technology, or an agriculture-related analytics field with a minimum of 5 years professional experience in agricultural data management and/or AI data analysis with programing skills using at least one of the modern computer programing languages; OR
• Master’s degree in Computer Science, Data Science, Statistics, Agriculture Science, Agricultural Engineering, Information Technology, or an agriculture-related analytics field with a minimum of 2 years professional experience in agricultural data management and/or AI data analysis with programing skills using at least one of the modern computer programing languages

Skills Required

Mandatory

• Experience working with logical framework design, data collection systems and tools, and results-based planning approaches
• Computer programming with data management and AI data analysis skills
• Proficient user of computer software packages related to database management, and data analysis including statistics software
• Excellent oral and written communication skills in English as well as interpersonal skills
• Experience in writing reports in English
• Experience in analyzing and synthesizing data and information for meaningful reporting
• Strong problem-solving and analytical skills

Preferred

• Experience in data analysis programming with Python
• Experience in database management; and (optional) experience working with mobile and/or web-based applications
• Knowledgeable of quantitative and qualitative analytical techniques and agricultural data

IRRI offers a highly extensive employee benefits package inclusive of globally-covered medical insurance, retirement plan, life and accident insurance and other allowances.

Join our team and be part of our story!

Please note only shortlisted candidates will be contacted.
This position will remain open until filled.