How to apply for Research Program, Fall 2026

About Algoverse

Algoverse runs online AI safety research programs for students and professionals. Its 12-week cohorts produce papers aimed at venues like NeurIPS, ICLR, and ICML, with past cohorts reporting 68-73% conference acceptance rates. It is a fit for people who want structured mentorship and a submission deadline rather than an open-ended independent project.

About the role

As a participant in the Research Program, Fall 2026, you join a team of 3-4 with a dedicated mentor and move through three phases: ideation, implementation, and manuscript drafting. You do literature review, proposal design, model training, experimentation, and artifact preparation, with the goal of submitting to a top-tier conference. The program is remote, runs 12 weeks, and expects 5-10 hours per week plus two weekly meetings and optional office hours.

A typical day

A typical week includes two online meetings with your team and mentor, plus 5-10 hours of literature review, coding, experiments, and writing. You may attend optional office hours for feedback. The work shifts across the 12 weeks from ideation and proposal to implementation and manuscript drafting for conference submission.

Who Algoverse is looking for

• Has working Python experience and can write and debug code for model training and experiments.
• Can commit 5-10 hours per week for 12 weeks, including two weekly meetings and optional office hours.
• Is comfortable doing literature review and turning a proposal into a manuscript with a team.
• Is a high school student, undergraduate, or industry professional anywhere in the world who wants a conference submission, not just a certificate.

Tips for this application

• State your Python level concretely: list libraries you have used (for example PyTorch or TensorFlow), the size of models or datasets you have trained, and link to a repo or notebook.
• Name the AI safety or ML subfield you want to research and one or two papers you would build on, since the program starts with ideation and literature review.
• Confirm your availability for the full 12 weeks, two weekly meetings, and 5-10 hours per week in the application, because the program targets a conference deadline.
• Address the $3,325 program fee directly: say whether you can pay it or are requesting a scholarship for financial hardship, and provide the relevant details if so.
• List target venues (NeurIPS, ICLR, ICML, AAAI, ACL, EMNLP) and any past writing or submission experience, even a workshop paper or a rejected submission.

What to cover in your cover letter

Explain your Python and ML experience with specific projects and results. Describe the research area you want to pursue and why it fits AI safety. Show you understand the three-phase structure (ideation, implementation, manuscript) and can meet the 12-week, 5-10 hour weekly commitment. State your fee or scholarship situation clearly.

Research before applying

• Read the Algoverse site at algoverseairesearch.org, including program structure, phases, and mentor information.
• Find papers or artifacts from past Algoverse cohorts and note the venues and acceptance rates.
• Review recent NeurIPS, ICLR, and ICML papers in the subfield you want to work in to prepare a proposal direction.
• Check the scholarship policy and fee details, and note the application deadline and cohort start date for Fall 2026.

Likely interview topics

Based on the job description, expect questions about:

• Walk through a Python or ML project you built: the problem, your model, and the results.
• Which AI safety or ML subfield do you want to research, and which papers would you start from?
• How would you split work in a team of 3-4 across ideation, implementation, and manuscript drafting?
• How will you fit 5-10 hours per week plus two meetings into your schedule for 12 weeks?
• What do you know about the target venues (NeurIPS, ICLR, ICML, AAAI, ACL, EMNLP) and their submission process?

Common mistakes to avoid

• Applying without any Python or ML project evidence, since the program requires Python and moves quickly into model training.
• Ignoring the 12-week, two-meetings-per-week, 5-10 hour commitment or the conference submission deadline.
• Treating it as a course or certificate and writing generic goals instead of a specific research direction and target venue.