Publisher
source

Microsoft Research

PhD Internship Opportunities in AI for Agriculture, Climate, Biodiversity, and Public Health Microsoft AI for Good Research Lab in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

Microsoft Research

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Keywords

Computer Science
Environmental Science
Agriculture
Biology
Artificial Intelligence
Climatology
Biodiversity
Computer Vision
Salud Pública
Statistics
Study Research
Large Language Models
Machine learning

About this position

Microsoft AI for Good Research Lab is hiring two PhD interns for a 6-month, Nairobi-based opportunity in Kenya.

The internship focuses on applying artificial intelligence to real-world challenges at the intersection of agriculture, climate, biodiversity, and public health. Interns will conduct original research, contribute to state-of-the-art AI work, collaborate with researchers and partners across sectors, and help translate research into practical solutions with real-world impact.

Preferred experience includes machine learning, computer vision, large language models, or geospatial AI, together with a strong foundation in research and experimentation. The post is especially relevant for PhD-level candidates interested in mission-driven applied AI research.

Announced by Girmaw Abebe Tadesse, Principal Research Scientist and Manager at Microsoft AI for Good Research Lab. The post also references the Microsoft Careers application page for this internship opportunity.

No deadline, stipend, tuition waiver, or other funding details are specified in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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