Climate Risk Lab Data Science And Machine Learning Fellowship 2027

October 19, 2026

Climate Risk Lab Data Science and Machine Learning Fellowship 2027

Brief Description

Applications are now open for the 2026 Climate Risk Lab Data Science and Machine Learning Fellowship. Hosted by the Climate Risk Lab in Cape Town, this full-time opportunity is designed for recent PhD, MSc, or first-class Honours graduates with backgrounds in data science, computer science, mathematics, statistics, econometrics, engineering, physics, or related quantitative fields. If you are eager to apply your technical expertise at the crucial intersection of climate science and real-world solutions, this program aims to accelerate the lab’s breakthrough research while strengthening your own advanced data science skills. You will work alongside an interdisciplinary team handling complex climate, environmental, health, and socioeconomic datasets.

Name of Host Institution

Climate Risk Lab

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Requirements/Eligibility Criteria

MSc degree or first-class Honours degree (completed or in final year) in data science, machine learning, computer science, mathematics, statistics, or related fields.
Proficiency in programming languages, preferably Python or R.
Solid grounding in statistics and/or data science principles.
Excellent oral and written communication skills.

Key Responsibilities

Analysis of big climate, environmental, health, and/or socioeconomic datasets.
Developing and applying AI tools to enhance data science workflows and supporting other analysts.
Downloading, cleaning, processing, and optimising large datasets.
Mainstreaming best practices for reproducible workflows, including contributing to and maintaining Git repositories.
Documenting and communicating workflows effectively.
Development and maintenance of code to improve the efficiency of processing large spatial-temporal datasets using parallel computing approaches.
Leading or co-leading a research project towards a peer-reviewed publication, toolkit, or dataset.

Location

Cape Town, South Africa

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Salary

Competitive with academic and market rates, based on candidate experience.

Duration

A full-time, one-year fellowship with the opportunity for a one-year renewal based on performance, plus potential pathways into a PhD scholarship or postdoc funding.

Documents to be Submitted

You must submit your application materials as a single PDF file containing a CV (including a statement on whether you hold a valid South African work or study permit), the name, position, and email address of two professional referees, a cover letter detailing why you fit the role, your academic transcript, and optional links to GitHub, Jupyter notebooks, a personal website, or your LinkedIn profile.

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Deadline

Ongoing

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💡 Quick FAQ & IntelligenceTap to Expand

Q: What academic backgrounds are eligible for the Climate Risk Lab Fellowship?

Candidates with an MSc degree or first-class Honours degree in data science, machine learning, computer science, mathematics, statistics, econometrics, engineering, physics, or related fields are eligible.

Q: Is international travel required for this position?

Fellows may have the availability to travel internationally if needed as part of their collaborative research activities.

Q: Can this fellowship lead to further academic opportunities?

Yes, successful candidates have the potential for a one-year fellowship renewal, as well as possible pathways into a PhD scholarship or postdoc funding.