Applications are now open for the Hybrid CAN Fellowship Programme ($1800 per month)!
Application Deadline: 5 April 2025
Applications are now open for the Hybrid CAN Fellowship Programme ($1800 per month)!
Overview
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.
Data Science Fellows for the Africa Climate and Health Data Capacity Accelerator Network (CAN) enables a fellow to be embedded within a host Government Office and/or Social Impact Organization (SIO) in Africa
Project summary
The Africa Climate and Health Data Capacity Accelerator Network (CAN) program, in partnership with data.org and funded by the Wellcome Trust, combines data science training with experiential learning through a fellowship program that focuses on identified country-specific use-cases and enables training participants to work with an expert to apply learnt skills in practice
The Data Science fellow hired through this Terms of Reference (TOR) will support the government department or social impact organizations, and execute the fellowship phase of the Capacity Accelerator Network. In doing so, this TOR will aim to make data science skills and support more relevant to the institution, by providing tools, guidance and related agreed services that will be used to access, analyze and report on the data projects as defined for the purpose of statistical and data development.
Project Objectives
The CAN Fellowship program is a 5-month program to support and help to strengthen the capacity and skills of the demanding National Statistical Systems (NSS), National Statistical Offices (NSOs), Ministries of Agriculture, Health or Environment, Departments and Agencies of government or Social Impact Organizations (SIOs) in Africa for the purpose of strengthening statistical and data capacity in the intersection of climate and health. Data Science Fellows will support the office teams with a specific use case supplied by the office, through either reporting, dashboards or software development.
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.
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.
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.
Remuneration: Fellows will receive a stipend of $1800 monthly for the duration of the fellowship.
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