Applications for this programme have now closed. To hear about future rounds you can express interest here

TLDR; apply to join a 13-week research programme in AI safety. You’ll write a technical paper in a team of 3-4 with supervision from an experienced researcher. The programme is full-time in London.

About LASR:

London AI Safety Research (LASR) Labs is an AI safety research programme focused on reducing the risk of existential risk from advanced AI. We focus on action-relevant questions tackling concrete threat models.

LASR participants are matched into teams of 3-4 and work with a supervisor to write an academic-style paper, with support and management from LASR.

We expect LASR Labs to be a good fit for applicants looking to join technical AI safety teams in the next year. 90% of alumni from previous cohorts have gone on to work in AI safety/security, including at UK AISI, Apollo, OpenAI's dangerous capabilities evaluations team, and Open Philanthropy. Many more have continued working with their supervisors, or are doing AI Safety research in their PhD programmes. LASR will also be a good fit for someone hoping to publish in academia; all 5 papers in 2024 were accepted to workshops at NeurIPS, and four out of five groups in 2023 had papers accepted to workshops (at NeurIPS) or conferences (ICLR).

Participants will work full-time and in person from the London Initiative for Safe AI (LISA) co-working space, a hub for researchers from organisations such as Apollo Research, Bluedot Impact, ARENA, and Pivotal. The office will host various guest sessions, talks, and networking events.

Programme details:

The programme will run from January 12th to April 10th (13 weeks). You will receive an £11,000 stipend to cover living expenses in London, and we will also provide food, office space and travel.

In week 0, you will learn about and critically evaluate a handful of technical AI safety research projects with support from LASR. Developing an understanding of which projects might be promising is difficult and often takes many years, but is essential for producing useful AI safety work. Week 0 aims to give participants space to develop their research prioritisation skills and learn about various different agendas and their respective routes to value. At the end of the week, participants will express their preferences ...

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