LASR Labs is opening applications for their Summer 2025 AI safety research program, offering researchers a unique opportunity to contribute to reducing risks from advanced AI systems. The 13-week intensive program provides participants with funding, workspace, and expert supervision while focusing on action-relevant questions addressing concrete threat models from AI. This initiative represents a significant opportunity for technically skilled researchers to work on pressing AI safety challenges in a collaborative London-based environment.
The big picture: LASR Labs is launching a full-time, in-person summer research program in London focused on AI safety research with applications closing on April 26th.
- Participants will work in teams of 3-4 under the supervision of experienced researchers to produce technical papers addressing AI safety challenges.
- The program emphasizes action-relevant research questions tackling concrete threat models for advanced AI systems.
Key details: The program runs for 13 weeks from July 28th to October 24th, 2025, at the London Initiative for Safe AI co-working space.
- Participants receive an £11,000 stipend to cover living expenses in London.
- The program also provides food, office space, and travel arrangements for accepted applicants.
Ideal candidate profile: LASR Labs is seeking applicants with machine learning engineering experience, strong research abilities, and effective communication skills.
- Competitive applicants may have conducted relevant research, have experience with LLMs, possess industry research/ML experience, or hold a PhD in Computer Science, Physics, or Mathematics.
- The program values willingness to experiment and iterate, alongside the ability to clearly articulate experimental outcomes.
Application timeline: Interested researchers must submit their applications by April 26th at 23:59 BST with final decisions coming in early June.
- Previous research from LASR Labs includes papers on feature splitting in sparse autoencoders and steganographic collusion in language models.
- For additional information, potential applicants can contact the organizers at [email protected].
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