Capacity Accelerator Network (CAN) Data Science Fellowship 2024
Innovative minds, apply now! The CAN Data Science Fellowship 2024 is open for applications. This prestigious program, powered by the Capacity Accelerator Network (CAN), aims to cultivate data science expertise for climate and health impact across Africa.
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As a CAN Fellow, you’ll gain cutting-edge skills to tackle complex challenges at the nexus of climate and health, driving positive change and improving lives continent-wide.
During the program, participants collaborate with host institutions and mentors on projects to share their data skills, encourage innovative solutions, and build a network of data professionals committed to sustainable development. The fellowship includes practical project work, media training, and opportunities for fellows to present their work at local, regional, and international events.
Benefits
- Fellows will receive a monthly stipend and are expected to be physically present within the government department or SIO office during the assignment period.
Eligibility
- Candidates must have successfully completed a first university degree, and demonstrate a capacity to undertake independent advanced academic research and study.
- Candidates must have 3 years working experience in data management, analysis and visualization.
- Candidates must have good communication skills and possess good quantitative and/or qualitative analytical skills.
- Candidates must have strong expertise in technology, systems development, big data, open data and data science.
- Candidates should have working knowledge of the contexts of African countries, in respect to climate and health.
- This is a full time position. Candidates must be available to carry out duties. The selected fellows will be expected to participate in different activities and to strictly follow the programme.
How to Apply
Applicants should have a brief curriculum vitae (1-3 pages) ready in PDF to attach to their application. Incomplete or improperly filled-out application forms will not be considered.
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