The CAN Data Science Fellowship

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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.

Application and selection criteria:
● 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.

Deliverables and outputs:
● Training on use case execution.
● Development of a project plan for the execution and support of the use case
● Monthly progress reports on the program.
● Support for the specified use cases within the government department or SIO.
● Skills and knowledge sharing among the team members of the department.
● Take part in peer exchange activities amongst fellows, departments and organizations.

Reporting Arrangements:
The fellow will report to the government department or SIO project team, as well as the Global
Partnership.
During the time of this assignment, the fellow will be expected to be physically present within
the government department or SIO office. A hybrid model of physically present several days a
week and remote working will be considered but this will not be a fully remote role.
Timeline:
This task is to begin in October 2024 and conclude in March 2025.
Remuneration:
Fellows will receive a stipend of $1500 monthly for the duration of the fellowship.
Deadline : SEPT 6TH,2024

APPLY HERE

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