Sat. Dec 4th, 2021

    In partnership with the Carnegie Corporation of New York, the African Institute for Mathematical Sciences (AIMS) is inviting students who are in the final stage of their MSc or MSc holders with an interest in data science and its related disciplines (such as Mathematics, Statistics, Machine Learning, Cluster Analysis, Data Mining, Big data Analytics, Data Visualization, Artificial Intelligence, Neural Networks, Deep Learning, Deep Active Learning, Cognitive Computing among others), to apply for one of four attractive PhD scholarships at its pioneering Quantum Leap Africa (QLA) Research Centre in Rwanda.

    Application Deadline: 1st June 2021

    About the Award: The AIMS-Carnegie Research program in Data Science and its Applications aims to position Africa at the forefront of information science. It also seeks to ensure that scientists worldwide are able to fully contribute to the above goal.

    Type: PhD

    Eligibility:

    • Master’s degree (completed by Sept 2021) in mathematics, statistics, computer science, engineering, physics or other relevant fields;
    • Sufficient theoretical foundations evidenced by prior work (courses/thesis/other training);
    • Qualification for pursuing research on the chosen topic, including relevant programming expertise;
    • Research potential evidenced by academic performance and involvement in relevant academic activities;
    • Motivation for pursuing a PhD by research in the suggested topic;
    • Being an African national.

    Number of Awards: 7

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    Value of Award:

    • Fully funded (stipend, equipment, health insurance, relocation costs, conference attendance, direct cost to graduating institution such as tuition fees and registration fees)
    • International supervision teams from well-known research institutions
    • Research topics that push the boundaries of data science 

    Duration of Award: 3 years with a possible extension

    How to Apply: APPLY

    • It is important to go through all application requirements on
      the Programme Webpage (see link below) before applying
    • GOODLUCK!

    Visit Award Webpage for Details

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