Overview
- Applications have closed
- Experience: Not Specified
- Min. Education level: Diploma
- Specialism: Artificial Intelligence / Machine Learning / Data Science / Economics or Statistics / Engineering or Technical / IT or Computer Science / Mathematics
- Deadline: Friday, July 12, 2024
Vacancy Description
ENabling Girls in AI and Growing Expertise (ENGAGE) in Data Science creates a health-focused machine learning training program at the University of Nairobi (UoN) in partnership with the University of San Francisco California (UCSF) for girls and young women to reduce the biases created by men in data science.
This foundational work helps strengthen the pipeline and impact of women to improve health in their communities.
ENGAGE aim is to develop a machine-learning training program focusing on public health and infectious diseases at the University of Nairobi. The project specifically targets girls and young women and includes outreach training programs in 6 regions in Kenya.
University of Nairobi Institute of Tropical and infectious diseases is recruiting girls in Kenya to train them on data science and artificial intelligence with the view to using knowledge and skills to solve public health problems in their localities. We are targeting girls from TVeT and undergraduate students taking STEM courses with great aptitude in mathematics and are from less privileged economic backgrounds. This a fully sponsored training with internship.
This is a four-week long residential training for young women undertaking Undergraduate and Diploma course in Science, Technology, Engineering and Mathematics (STEM) fields, with strong foundation in Mathematics and are interested in developing skills in Al and Data Science.
Who can Apply?
To be eligible you must meet all the following requirements:
- A final-year female student enrolled in a Diploma STEM course
- Economically disadvantaged young woman from rural areas in the following regions: Coast, South Eastern, Eastern, Rift Valley, Central, Western and Nyanza
- A young woman with a strong foundation in Mathematics or Statistics
- A young woman interested in pursuing a career in Al and Data Science
Training Period
Monday, 5th August to Friday, 30th August 2024
Venues:
- Pwani University
- Kabarak University
- South Eastern Kenya University (SEKU)
- Meru University of Science and Technology (MUST)
- Dedan Kimathi University of Science and Technology (DeKUT)
- Jaramogi Oginga Odinga University of Science and Technology(JOOUST)
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From as low as KES. 600/=
Application Guidelines
Fill out the application form.
Deadline Friday, 12th July 2024 at 11:55PM
Application Window
- Tuesday, 2nd July - Friday, 12th July 2024
- Successful applicants will be notified by Monday, 22nd July 2024
INSTRUCTIONS
- No fees required: This application form is provided at no cost. You will not be asked to pay any fees during the entire
- Complete and clear information: Please fill out the application form accurately and thoroughly using CAPITAL LETTERS.
- Document verification: If selected, you will need to present the original versions of all attached documents upon reporting.
- Accuracy and completeness: Forms that are incomplete or contain inaccurate information will be rejected automatically.
- Document submission: Applicants must provide copies of ALL REQUIRED DOCUMENTS. Applications lacking the necessary documents will be disqualified. The following copies of documents will be required to successfully complete this application:
- Your National ID
- Both parents’ National ID
- Your student ID
- Current fee statement
- Academic transcripts
- KCSE Certificate
- *Guardian’s National ID
- *Death Certificate where necessary
- No canvassing: Any attempt to influence the selection process will result in immediate disqualification.
- No guaranteed sponsorship: Submitting this form does not guarantee sponsorship.
- Honesty is essential: Providing false information, omitting details, or submitting forged documents will lead to automatic disqualification.
- Final decision: The ENGAGE Project leadership has the final say in selecting training beneficiaries.
- Eligibility: Only female candidates in their final year of STEM courses will be considered.
- Complete all sections: Every section of this form must be filled out. Incomplete forms will render the applicant ineligible for the scholarship.
- Online submission: Applications can also be submitted through this ENGAGE Project online platform.
To learn more about ENGAGE, visit https://engage.uonbi.ac.ke/
View more jobs at ENGAGE Project KE →
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