Responsibilities of the fellow:
Design, implement and document/ publish scientific PhD research.
Develop a PhD-research proposal to be accepted by the Wageningen School of Social Sciences, that covers various aspects of innovation portfolio management (e.g., from metrics and decision-making criteria to organizational impact culture change).
Develop and conduct a personal Training and Supervision Plan.
Conduct research on the topic described in close collaboration with the CGIAR Regional Integrated Initiative on Diversification in East and Southern Africa (Ukama Ustawi).
Lead the design, testing and validation of approaches and/or tools that can advance effective innovation portfolio management for societal outcomes and impact.
Write scientific articles about the findings and publish them in scientific journals.
Present PhD research findings at seminars and conferences.
Other duties
Collaborate and exchange with other PhD students in the science of scaling domain.
Contribute to Ukama Ustawi activities that align with PhD research.
Collaborate with the CGIAR Scaling Readiness team on topics that align with the PhD research.
Provide periodical reflections and recommendations to Ukama Ustawi Work Package 6 team.
Contribute to strategic communication efforts on the PhD research.
Requirements & qualifications:
A university degree (MSc) in a relevant scientific field that includes considerable social/ innovation science substance.
Strong interest in agricultural research for development, innovation and development impact.
An understanding/appreciation of the socio-economic and political dynamics of agricultural innovation and development in low- and middle-income or specifically SSA countries.
Ability to ‘think out of the box’ and proactively propose creative research ideas (e.g., translating concepts and tools used in other sectors).
Experience in independently designing, implementing and documenting scientific research.
Strong interpersonal, communication and network skills.
Good knowledge of English language, in listening, speaking and writing.
Ability to use advanced data collection and analysis tools, methods and software (e.g., machine learning, R, ODK).
Strong digital skills, including proficiency in presentation, project management and collaboration tools.
Experience in low- or middle-income countries in agricultural/ development settings.
Experience in facilitating events in a multi-cultural environment.
Teamwork – ability to lead work in an agile and fast-paced environment.
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