Programme Thesis
This programme funds travel and conference attendance for African researchers and students, enabling them to present their work, network, and gain exposure at major conferences. It exists to reduce the financial barriers that prevent African scholars from participating in global academic events, thereby fostering international collaboration and visibility.
Selection Criteria
- Eligibility: Must be based in Africa (or African citizen), currently enrolled in or recently completed a degree, or early-career researcher.
- Academic merit: Quality of the research abstract or paper submitted for presentation.
- Relevance: Alignment of the conference topic with the applicant's field and career stage.
- Impact: Potential benefit of attending the conference to the applicant's research and career.
- Financial need: Demonstrated lack of alternative funding for conference travel.
- Application completeness: Submission of required documents (CV, abstract, supervisor/mentor letter, etc.).
Past Winners / Cohort Profiles
Past winners are typically graduate students, postdocs, and early-career researchers from African universities and research institutions who have had papers or posters accepted at major international conferences in computer science, engineering, and related fields. They often come from countries like Nigeria, Kenya, South Africa, and Ghana, and represent a range of disciplines from AI/ML to health informatics.
Ideal Candidate Fingerprint
The ideal applicant is an early-career African researcher with a strong academic record, a compelling conference presentation (paper/poster) in a field relevant to Google's interests (e.g., computer science, AI, digital health), and a clear plan for how attending the conference will advance their research and contribute to their local community. They demonstrate financial need and a commitment to sharing knowledge gained.
Recommended Framing
For Eniola, the strongest angle is to apply for a conference scholarship to present his TOPOLOGIX work (ESM-2 protein-language-model delta-embeddings for drug-resistance prediction) at a major bioinformatics or machine learning conference, such as NeurIPS or ISMB. This directly aligns with Google's focus on AI/ML and digital health, and his enrollment in the M.Sc. Digital Health at HPI/Potsdam strengthens the digital health angle. He should emphasize the novelty and impact of TOPOLOGIX, its superiority over structure-based baselines, and how attending the conference would enable him to connect with leading researchers and potentially collaborate on scaling the approach.
Watch Out
The programme is for conference attendance, not research funding, so Eniola must have a paper/poster accepted first. His research areas (neuroscience, protein ML) may be less central to Google's core interests than pure CS/AI, but the ML and health applications are relevant. Also, the programme may have specific eligibility windows (e.g., must be a student or recent graduate) that need to be verified, as Eniola is currently enrolled in a Master's but also employed.
Research History
2026-08-04 20:19 · medium confidence
2026-08-02 05:36 · medium confidence