Impact Academy Global AI Safety Fellowship 2025 (Fully-funded)

Impact Academy’s Global AI Safety Fellowship is a 3-6 month fully-funded research program for exceptional STEM talent to work with the world’s leading AI safety organisations on advancing the safe and beneficial development of AI.

They will select Fellows from around the world for a placement with their partners. After an initial application, they invite candidates to participate in a rigorous and purpose-driven selection process that lasts 4 to 6 weeks. They aim to select a cohort of technically skilled individuals with a knack for working on complex problems. Fellows will receive comprehensive financial support that covers their living expenses and research costs, along with dedicated resources for building foundational knowledge in AI safety, regular mentorship, 1:1 coaching calls with their team, and facilitation for in-person work with their partner organisations.

Benefits of AI Safety Fellowship

They offer comprehensive support for Fellows to have an optimised learning and research environment:

• Expert-led technical assessments and interview preparation
• Access to a global network of leading AI safety researchers
• Fully-funded AI Safety BootCamp with personalized mentoring
• Competitive compensation package tailored to your location

Check : CSC Scholarship at Zhejiang University in China 2025-26

Eligibility for AI Safety Fellowship

• They expect candidates to be available for full-time work for at least 3 months starting February or March 2025.
• They welcome applications from candidates around the globe, including those from regions traditionally underrepresented in AI safety research.
• As of now, they cannot accept applicants who will be under 18 years of age in January 2025.

They expect the ideal candidates to have:

• Demonstrated knowledge of Machine Learning and Deep Learning (e.g. a first-author ML research paper).
• Demonstrated programming experience (e.g. >1 year of software engineering experience at a leading tech firm).
• Scholastic excellence or any other achievements, such as 99th percentile performance in standardised STEM tests, like Math or Informatics Olympiads or competitive exams for graduate study.
• An interest in pursuing research to reduce the risks from advanced AI systems.

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