Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship 2027 in Cape Town

Applications are currently being accepted for the Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship 2027 in Cape Town. Interested applicants are encouraged to click here to learn more about this opprotunity and apply for it.

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About Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship

The Climate Risk Lab’s mission is to create breakthrough science, tools and policies that help protect people and nature from climate change.

Its research includes developing models to understand the past impacts of climate change and predict future impacts on people and nature. The Lab also works on using artificial intelligence to synthesise evidence about what works in climate solutions for human health and wellbeing.

The Data Science and Machine Learning Fellowship is designed to strengthen the Lab’s capacity to deliver this research while helping successful candidates develop their own research and data science skills.

Benefits of Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship

  • The remuneration range for this role will be competitive with academic and market rates and based on candidate experience.

Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship Requirements

The fellowship is particularly suited to recent graduates who have strong quantitative and programming skills and are interested in applying them to climate-related challenges.

Applicants must meet the minimum academic and technical requirements, including:

  • An MSc or first-class Honours degree, either completed or in the final year, in data science, machine learning, computer science, mathematics, statistics or a related field.
  • Proficiency in programming languages, preferably Python or R.
  • A solid grounding in statistics and/or data science principles.
  • Excellent written and oral communication skills.

The call also welcomes applications from candidates with a PhD background whose expertise aligns with the fellowship.

Application Date and Process

  • Click on the link to the application website to apply.

Opportunity Application

View details of Climate Risk Lab Fully Funded Data Science & Machine Learning Fellowship

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