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Climate Risk Lab Data Science & Machine Learning Fellowship 2027

Climate Risk Lab

About this opportunity

Full-time research fellowship for recent graduates in Cape Town, South Africa, using AI and data science to address climate change. Work with interdisciplinary experts on cutting-edge projects.

The Climate Risk Lab Data Science & Machine Learning Fellowship 2027 is a full-time research fellowship in Cape Town, South Africa, targeting recent graduates eager to apply artificial intelligence and data science to address climate challenges. This program provides hands-on experience with interdisciplinary experts on advanced projects, offering early-career researchers a unique opportunity to contribute to climate risk mitigation while working in a collaborative environment.

What it offers

  • Full-time research position with exposure to cutting-edge climate risk projects.
  • Opportunity to collaborate with interdisciplinary experts in data science and machine learning.
  • Focus on applying AI and data science solutions to climate challenges.

Who can apply

Applicants must be recent graduates (no explicit age or nationality requirements stated).

How to apply

  • The application process details are not explicitly provided in the source text.

Good to know

  • Fellowship is based in Cape Town, South Africa.
  • Open to early-career researchers passionate about climate science and data science.
This summary is AI-generated from the official posting. Always verify every detail on the official site before applying.

Key details

TypeFellowship
LocationZASouth Africa
FieldData Science & Machine Learning
DeadlineDeadline not stated — check the official page
EligibilityNational
Applicants must be **recent graduates** with a passion for using artificial intelligence and data science to tackle climate change, though nationality or age specifics are not stated.

What you get

  • Full-time research opportunity with interdisciplinary collaboration on climate risk projects.

How to apply

  1. Application details not explicitly provided.

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Source : globalsouthopportunities.com · Always verify details on the official site.