The Fellowship

The Capacity Accelerator Network (CAN) initiative develops data science talent for climate and health impact across Africa. The CAN Fellowship provides emerging data science professionals with the skills needed to address challenges at the intersection of climate and health and make a positive impact on lives across the continent. 

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.

Applications currently closed

The fellowship program includes data science training and practical experience through a six-month scheme focusing on specific use cases in different African countries. Over three years, the program aims to build the capacities of 100-200 data practitioners specializing in data science and its application in health, climate, and related topics. Fellows also support social impact or public sector organizations across multiple African countries.

CAN Fellows at 2023 Datafest. Photo credit: Pablo Kreimbuhl

"This is where the magic happens"

Hear more about the CAN Fellowship with Davis Adieno, Senior Director of Programs at the Global Partnership for Sustainable Development Data.

 

Application details

Applicants should have a completed first university degree, capacity for independent academic research and study, at least three years of working experience in data management, analysis, and visualization, good communication skills, strong expertise in technology and data science, and a working knowledge of African country contexts concerning climate and health.

This is a full-time position starting in October 2024 and ending in March 2025. Fellows will receive a monthly stipend and are expected to be physically present within the government department or SIO office during the assignment period.

Applications are closed.