The Climate Risk Lab is seeking graduates for a 2027 fellowship focused on data science and machine learning for climate action.
The Climate Risk Lab in Cape Town is calling for applications for its fully funded Data Science and Machine Learning Fellowship for 2027. This opportunity is specifically designed for recent graduates who hold an MSc, PhD, or a first-class Honours degree and are keen to apply their analytical abilities to pressing climate issues.
Unlocking Climate Solutions
This one-year, full-time fellowship program, which may begin in February 2027, targets individuals eager to utilize their quantitative skills in data science, artificial intelligence, and real-world climate initiatives. The fellowship may further develop into a PhD scholarship or Postdoc funding based on the fellow's performance.
Who is Eligible?
The program is open to graduates with a strong foundation in quantitative fields such as mathematics, statistics, machine learning, computer science, and engineering, among others. Candidates should:
- Possess an MSc or a first-class Honours degree—completed or in their final year.
- Exhibit proficiency in programming languages, particularly Python or R.
- Demonstrate a solid understanding of statistical and data science principles.
- Have excellent communication skills, both written and verbal.
The fellowship particularly encourages applicants from historically underrepresented groups, including female-identifying individuals of color.
Fellowship Responsibilities
Successful fellows will engage in a variety of research activities aimed at addressing climate concerns. Responsibilities may include:
- Analyzing large datasets related to climate, health, and socioeconomic factors.
- Developing and applying AI tools to enhance research methodologies.
- Providing support to colleagues in utilizing AI technologies for data analysis.
Additionally, fellows will have the chance to lead a project that resonates with their interests, potentially leading to peer-reviewed publications or the development of new tools and datasets.
Support and Mentorship
The Climate Risk Lab places a strong emphasis on professional development. Each fellow will be matched with a senior data scientist or postdoctoral researcher who will serve as a mentor throughout the program. This mentorship will facilitate not only technical skill-building but also engagement in international climate research collaborations.
Competitive Skills and Application Materials
While possessing the minimum qualifications is crucial, additional technical skills will enhance a candidate's competitiveness. Preferred skills include:
- Experience with advanced Python and R packages for data analysis.
- Familiarity with Bash, Linux operating systems, and high-performance computing environments.
- Knowledge of tools such as GitHub for collaborative project management.
Interested candidates should compile their application materials into a single PDF document that comprises:
- Curriculum Vitae detailing any relevant work experience and qualifications.
- Contact details for two professional references.
- A cover letter explaining the applicant's suitability for the fellowship.
- An academic transcript.
- Links to any coding examples or personal projects, such as GitHub repositories.
Application Timeline and Remuneration
Applications will be reviewed on a rolling basis until the position is filled, with the expectation that the selected candidate will commence in February 2027. The Climate Risk Lab plans to start interviewing candidates in October 2026.
The fellowship offers a competitive salary aligned with industry and academic standards, with the potential for renewal after the first year based on performance. Additionally, further academic funding may be available for outstanding candidates who wish to continue their research journey.
Conclusion
This fellowship presents a remarkable chance for graduates to blend their expertise in data science and machine learning with impactful climate research. With the opportunity to work alongside experienced researchers and contribute significantly to climate solutions, interested individuals are encouraged to apply early.
For more information regarding the fellowship, please contact Puja Pande at [email protected].
