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London AI Safety Research Labs
London AI Safety Research (LASR) Labs Winter 2027
We found and reviewed this scholarship through an external listing. Confirm current details with the provider.
A 13-week, full-time, in-person AI safety research programme in London. Participants work in teams of three to four with an experienced researcher to take a project from proposal to publication.
Do I qualify 1 requirement
Do I qualify
The eligibility details below come from the captured scholarship source. Compare them with your circumstances and the provider page.
- Full-time, in-person participation at the London Initiative for Safe AI
Preferences and flexible criteria (3)
- profession Machine-learning engineering experience and strong quantitative skills
- Willingness to experiment, iterate, execute under uncertainty, and develop an impact-focused theory of change
- language Ability to clearly explain experiment outcomes and implications with transparent reasoning
- Fields of study
- Computer science and IT
What's covered Stipend only
- Funding type
- Stipend only
- Duration
- < 6 months
- Host institution
- London Initiative for Safe AI
We have not confirmed the detail of what this award covers — the official page has it.
What I need Not listed here
- In-person requirements
- Required in-person study/placement/event
The full document list lives on the official page — we do not republish it, because it changes between cycles.
Apply Route still to confirm
How to apply
The application information below summarizes the captured scholarship source. Review the provider page before submitting.
- Submit an application through the linked Airtable application form. Required
- Deadline
- 20 September 2026
- Deadline timezone
- GMT
- Application cycle
- 2026 application cycle
- Notes
- The source states that the programme runs January 11th–April 9th.
Details to confirm
- This cycle is closed or has passed. Watch the official page for a future cycle.
- A direct official application route has not been found yet.
- Some hard eligibility requirements are incomplete in the captured source.
- Some eligibility wording is ambiguous in the source — read the exact wording on the official page.
- Funding coverage details are missing from the captured source.
This cycle is closed or has passed; follow the provider page for the next cycle.
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