About the Project
Animals, plants, and microorganisms harvested and grown in water play a significant role in sustainably feeding and nourishing the world. Globally, 800 million people depend on small-scale fisheries and aquaculture for their livelihoods. But these vital aquatic food systems are hindered by the insecure livelihoods of those in related jobs, their low capacity to adapt to climate change, and the loss of marine nature.
The Asia-Africa BlueTech Superhighway project, supported through the UK\xe2\x80\x99s Climate and Ocean Adaptation and Sustainable Transition (COAST) program under the umbrella of the Blue Planet Fund (BPF), will focus on enabling communities to adapt to and mitigate against climate change as well as responsibly and sustainably manage marine and coastal nature and resources resulting in improved food and nutritional security as well as employment and income opportunities. The project will be implemented in two phases over seven years, starting with Phase 1 in Bangladesh, Kenya, Mozambique, Nigeria, and Tanzania.
About the Position
WorldFish is looking for a highly motivated Monitoring Evaluation and Learning (MEL) Specialist to the Asia-Africa BlueTech Superhighway. The MEL specialist will be based in Malaysia to implement and manage the monitoring and evaluation and learning (MEL) system and activities of the project.
S/he will work under the supervision of the MELIA Research Leader at WorldFish to identify and define performance indicators, develop quality assurance strategies, train program staff and ensure all project aspects comply with established Result Based-Management standards and procedures in WorldFish. The MEL Specialist will be supporting the development, the review and the implementation of a robust Monitoring, Evaluation & Learning framework and tools to facilitate measurement of progress of the project and enhance their compliance with donors\xe2\x80\x99 requirements and best practices to achieve efficiency and accountability. S/he will be responsible for the use of digital platform and Management Information Systems to support research, knowledge sharing and data management for a proficient result-based system focus on aquaculture and fisheries.
The successful candidate should have a solid background in the theoretical foundations of R&D monitoring and evaluation, be familiar with qualitative and quantitative tools and techniques for analysis, and comprehensive strategies for effective engagement in support of MEL implementation.
The successful candidate will:
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