Research and Evaluation Officer at World Agroforestry Centre (ICRAF)

• Monitoring and evaluation
  • Support the upgrading and Implementation of AWARD M&E System: The officer will support the initiative to upgrade the AWARD’s M&E system and its implementation that ensures the collection and management of quality data. That includes updating the ToC, Result Framework, indicators, develop/review of M&E strategy, build and maintain a uniform and consistent data collection and reporting, and ensuring consistent and timely application of all components of the M&E system. Furthermore, the position holder will support establishing data quality protocols, as well as managing data and information for easy retrieval and analysis.
  • M&E data collection and analysis: The incumbent will contribute to M&E processes, including developing M&E tracking forms and tools, involve in timely data collection, analysis, and reflection. He/she will track key performance indicators and support ongoing critical reviews of progress on results for program improvement and learning.
  • Reporting processes: The officer will be involved in report writing activities. She/he will ensure sound and accurate data are compiled and reported in a timely and useful manner in appropriate formats to key stakeholders (clients, partners, AWARD team, senior management, steering committee, and donors). He/she will also be extensively involved in writing internal and external reports.
  • Knowledge generation and dissemination: The incumbent will contribute to the dissemination of knowledge and information through various digital knowledge products such as publications, presentations, digital, and audio-visual content.
  • Baseline and evaluation studies: The officer will be involved in the design and implementation of M&E studies, including baseline studies, mid-term evaluations, and impact evaluations.
  • Contribute to M&E capacity development: The position holder will contribute to staff and partners’ M&E capacity development and provide training and resources needed to collect data and use the M&E system for ongoing reflection, learning and reporting. She/he will train and guide staff and partners to understand and implement protocols, forms, and guidelines for data collection, analysis, and reporting on both qualitative and quantitative data.
  • Research and data mining
  • Develop research ideas: the officer will identify research ideas and contribute to the research design and planning processes.
  • Data collection: the officer will develop research instruments, data collection tools, and conduct data collection.
  • Data mining and analysis: The officer will analyze and synthesize existing AWARD datasets to generate research ideas and write scientific articles.
  • Writing and publishing: The incumbent will contribute to the production and publication of high standard scientific articles. He/she will also contribute to other publications that AWARD initiates alone or with other partners.
  • Internal/external presentations: The position holder will prepare various presentations in line with the M&E and research findings, both internally and externally. He/she will also be prepared to present the findings in relevant conferences/workshops.

Requirements

• A master’s degree in agricultural research or social science, with training in monitoring and evaluation.
• A specialization in measurements and metrics (Statistics) is a plus.
• Strong background in qualitative and quantitative research methodologies; experience with data collection using any of the following: surveys, semi-structured interviews, focus groups, or other participatory methods; and documentation of events through direct observation and secondary data collection.
• Expertise and experience in a range of evaluation concepts, research design and data management.
• Capacity and experience to manage M&E systems, conducting evaluations including impact evaluations.
• Knowledge of and experience in documentation, reporting, and disseminating program results and research findings.
• Expertise in database development and maintenance, data management and use of statistical analysis software such as STATA, R, NVivo.
• Proven ability in publication and communication of program results to a variety of audiences.
• Professional experience in gender and agricultural research in and development.