Overview: Women in AI/ML Doctoral Fellowship 2026
The Women in Artificial Intelligence and Machine Learning (AI/ML) Doctoral Fellowship 2026 is a groundbreaking funding opportunity designed specifically for women PhD candidates in Sub-Saharan Africa who are integrating AI and machine learning methodologies into their social science research. Offered by the KAIA Network in partnership with The New School, this fellowship is more than just financial support — it is a career-transforming experience that positions recipients at the intersection of technology and society.
As artificial intelligence continues to reshape industries, governments, and communities across the globe, the need for diverse, rigorous, and context-sensitive AI research has never been greater. African women scholars are uniquely positioned to contribute perspectives that are often missing from mainstream AI discourse. The KAIA Network recognizes this and has created a fellowship that not only funds doctoral research but also embeds fellows within a rich interdisciplinary ecosystem of AI engineers, data scientists, and social scientists from around the world.
If you are a woman enrolled in or admitted to a PhD programme at an accredited institution in Sub-Saharan Africa and your research touches on AI/ML within the social sciences or a related field, this fellowship could be a pivotal milestone in your academic and professional journey. Applications are open for the 2026 cohort, with a deadline of July 31, 2026.
For those also exploring AI learning opportunities to strengthen their application, the Free Google Cloud Introduction to Generative AI Course with Certificate is an excellent resource to build foundational knowledge before you apply.
About the KAIA Network and The New School
The KAIA Network is an international platform dedicated to advancing knowledge, equity, and innovation in AI research across the Global South. By partnering with The New School — a progressive university in New York City renowned for its commitment to social justice, interdisciplinary inquiry, and global engagement — KAIA brings together institutional credibility and grassroots research support in a powerful combination.
Together, they have designed the Women in AI/ML Doctoral Fellowship to address two urgent gaps: the underrepresentation of women in AI research, and the shortage of research that applies AI methodologies to real-world social challenges in African and Global South contexts. Fellows gain access to mentorship from leading researchers, technical training in AI/ML tools, and an international network that opens doors far beyond the fellowship period itself.
Fellowship Benefits and Funding
The Women in AI/ML Doctoral Fellowship 2026 offers a comprehensive package of support that goes well beyond a financial award. Here is what selected fellows can expect:
- Research Funding: A cash award of USD $5,000 to support doctoral research activities, fieldwork, data collection, or computational resources.
- Mentorship: One-on-one and group mentorship from experienced researchers, AI practitioners, and social scientists affiliated with the KAIA Network and The New School.
- Technical Training: Access to structured training modules in AI and machine learning methodologies tailored for social science applications.
- International Network Access: Integration into a global community of researchers, data scientists, AI engineers, and development practitioners.
- Interdisciplinary Ecosystem: Fellows are embedded in KAIA’s platform, enabling collaboration across disciplines and geographies.
- Professional Visibility: Opportunities to present research, publish findings, and engage with a broader audience of scholars and policymakers.
This combination of financial support, mentorship, and networking makes the fellowship one of the most holistic opportunities available to women doctoral researchers in Sub-Saharan Africa working at the frontier of AI and social science.
Eligibility Criteria
Before applying, ensure you meet all of the following requirements for the Women in AI/ML Doctoral Fellowship 2026:
- Gender: Open exclusively to women (including transgender women and non-binary individuals who identify with the fellowship’s mission of gender equity in AI).
- Enrolment Status: Currently enrolled in or formally admitted to a PhD programme at an accredited institution located in Sub-Saharan Africa.
- Research Focus: Conducting doctoral research in the social sciences or closely related disciplines (e.g., development studies, public health, economics, sociology, political science, education, communication studies).
- AI/ML Integration: The applicant must have a clear and demonstrated intention — or active plan — to integrate artificial intelligence or machine learning methodologies into their doctoral research.
- Institutional Accreditation: The applicant’s PhD-granting institution must be officially accredited within their country of study.
Eligible countries include — but are not limited to — Nigeria, Kenya, Ghana, South Africa, Ethiopia, Tanzania, Uganda, Rwanda, Senegal, Cameroon, Zambia, Zimbabwe, Mozambique, and all other nations within the Sub-Saharan African region. The fellowship actively encourages applications from women in underrepresented and underserved academic communities across the continent.
How to Apply
The application process for the Women in AI/ML Doctoral Fellowship 2026 is conducted through the KAIA Network’s official website. Follow these steps to prepare and submit a strong application:
Step 1: Review the Official Guidelines
Visit www.kaianetwork.org to access the most current and complete application guidelines, eligibility rules, and any supplementary requirements specific to the 2026 cohort.
Step 2: Prepare Your Research Proposal
A compelling research proposal is central to your application. Clearly articulate your research questions, the social science framework you are working within, and — most importantly — how you intend to incorporate AI or machine learning methods. Be specific about tools, models, or analytical frameworks you plan to use.
Step 3: Gather Supporting Documents
Typical supporting documents for fellowships of this nature include:
- A current curriculum vitae (CV)
- Official proof of enrolment or admission to a PhD programme
- Academic transcripts
- A statement of purpose or personal statement
- Two or more letters of recommendation (from your PhD supervisor and/or academic referees)
- Writing samples or published work (if applicable)
Step 4: Submit Before the Deadline
All application materials must be submitted by July 31, 2026. Late or incomplete applications are typically not considered, so plan your submission well in advance.
If you are exploring other PhD-level funding opportunities to complement your applications, the University of Melbourne Graduate Research Scholarships 2027 and the Google Data Center Community AI Fellowship 2026 are also worth reviewing as parallel opportunities.
Important Dates
- Application Portal Opens: Check the KAIA Network website for the official opening date.
- Application Deadline: July 31, 2026
- Results Announcement: To be confirmed by KAIA Network (typically within 8–12 weeks after the deadline).
- Fellowship Commencement: To be announced upon selection of the 2026 cohort.
Tips for a Strong Application
Competition for the Women in AI/ML Doctoral Fellowship is expected to be high. Here are strategic tips to strengthen your application:
- Be specific about AI/ML methods: Vague references to “using technology” will not stand out. Name specific methodologies — natural language processing, machine learning classification, neural networks, computer vision — and explain why they are appropriate for your research questions.
- Connect AI to social impact: KAIA and The New School are deeply invested in socially relevant research. Show how your AI-integrated research will contribute to solving real problems in African or Global South communities.
- Highlight your academic trajectory: Include any prior experience with data analysis, quantitative research, programming, or computational methods, even if informal.
- Get a strong letter from your PhD supervisor: A supervisor who enthusiastically endorses your research plan and AI integration approach adds enormous credibility to your application.
- Proofread everything: Spelling errors and formatting inconsistencies signal carelessness. Have a colleague or mentor review your materials before submission.
- Apply early: Submitting ahead of the July 31 deadline gives you time to address any technical issues with the portal and reduces last-minute stress.
Frequently Asked Questions (FAQ)
1. Do I need to already be using AI/ML in my research to apply?
Not necessarily. The fellowship eligibility states that applicants should have the intention to integrate AI/ML methodologies into their doctoral research. However, a clear, credible plan for how you will do so — along with some foundational understanding of these methods — will significantly strengthen your application.
2. Can women from outside Sub-Saharan Africa apply?
No. The Women in AI/ML Doctoral Fellowship 2026 is specifically designed for women who are enrolled in or admitted to PhD programmes at accredited institutions within Sub-Saharan Africa. The fellowship is not open to applicants based at institutions outside this region.
3. Is the USD $5,000 award paid directly to the fellow or to the institution?
Payment details are typically confirmed in the fellowship agreement. Visit the official KAIA Network website or contact them directly for clarity on disbursement arrangements for the 2026 cohort.
4. Can I apply if I am in the early stages of my PhD?
Yes. The fellowship is open to women currently enrolled in or admitted to a PhD programme, which suggests it is accessible even to early-stage doctoral candidates. In fact, receiving this fellowship early in your PhD could help shape and accelerate the trajectory of your entire research project.
5. What disciplines count as “social sciences or related fields”?
A broad range of disciplines qualify, including sociology, economics, political science, development studies, public health, education, communication, anthropology, gender studies, and related interdisciplinary fields. If your discipline is not listed here but involves the study of human behaviour, social structures, or policy, it is likely to qualify — confirm with KAIA Network if unsure.
Apply Now — Deadline: July 31, 2026
The Women in AI/ML Doctoral Fellowship 2026 is a rare and powerful opportunity for women PhD researchers in Sub-Saharan Africa to fund their work, expand their technical skills, and join a global network of changemakers at the frontier of AI and social science. With a USD $5,000 award, mentorship, technical training, and international visibility, this fellowship could redefine the scope and impact of your doctoral journey.
Do not wait until the last minute. Begin preparing your research proposal and gathering your documents today so that you can submit a polished, compelling application well before the July 31, 2026 deadline.