Apply Now: Funded Data Science Fellowship at Climate Risk Lab 2027
Join the Climate Risk Lab in Cape Town as a Data Science Fellow, tackling climate challenges with your skills. Applications open for 2027.
Shape the Future of Climate Science
The Climate Risk Lab in Cape Town is excited to announce a fully funded Data Science and Machine Learning Fellowship for 2027. This program is open to graduates holding MSc, PhD, or first-class Honours degrees who are eager to harness their analytical talents to combat climate change.
Who Can Join?
This opportunity is aimed at recent graduates with strong quantitative skills and a passion for climate science.
- MSc or first-class Honours degree in a quantitative field
- Proficiency in programming languages, particularly Python or R
- Strong understanding of data science principles
- Excellent communication abilities
The fellowship particularly encourages applications from underrepresented groups in data science, promoting diversity in climate research.
Fellowship Highlights
Fellows will immerse themselves in impactful research, contributing to various projects focused on climate data. Responsibilities will include:
- Analyzing extensive datasets related to climate, health, and social economics
- Implementing AI tools to enhance research methodologies
- Supporting peers with AI technology applications
Fellows will also have the chance to lead their projects, potentially culminating in published findings.
Mentorship and Professional Growth
Beyond technical work, the fellowship offers invaluable mentorship. Each participant will be paired with an experienced data scientist or postdoctoral researcher to guide them throughout their fellowship. This partnership will provide insights into both climate research and international scientific collaborations.
Desirable Skills and Application Process
While minimum qualifications are essential, candidates with additional skills will stand out. Desirable experiences include:
- Familiarity with advanced Python and R packages
- Exposure to Bash, Linux, and high-performance computing
- Experience with tools like GitHub for project management
To apply, candidates must submit a PDF document containing:
- Curriculum Vitae
- Contact information for two referees
- Cover letter detailing your fit for the role
- Academic transcript
- Links to relevant coding examples or personal profiles
Important Dates
Applications are reviewed continuously until suitable candidates are identified. The fellowship is set to begin in February 2027, so early applications are encouraged.
Competitive Remuneration
This full-time fellowship offers competitive pay aligned with academic standards, along with potential paths to further academic funding such as PhD scholarships or postdoctoral positions.
Conclusion
This fellowship represents an exciting opportunity for graduates eager to apply data science in innovative ways to address climate issues. Join a community dedicated to making a significant impact in the realm of climate research.
For inquiries, contact Puja Pande at [email protected].