How competitive are PhD admissions currently [D]

2026-05-20 · Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Academic Research & Higher Education · Depth: Intermediate, medium

Summary

PhD admissions in Machine Learning are highly competitive globally, with US top 15 programs demanding publication records akin to assistant professors 10-20 years ago. One successful applicant to top 5 US programs had approximately 10 A* publications as an undergrad. This intense competition has escalated across all programs, including those in Europe, fueled by increased AI interest post-ChatGPT and academic funding cuts. European PhDs are generally less competitive to secure and often provide higher salaries, with Norway noted for some of the world's highest-paid positions. The ELLIS PhD program is a recommended meta-program for Europe/UK/Canada, facilitating connections with leading PIs. While mid-tier programs (e.g., top 250 globally) may not require publications, they prioritize strong academic records and cultural fit. Building a research network and demonstrating prior work are crucial for improving application success.

Key takeaway

For AI Students considering a Machine Learning PhD, recognize that admissions are fiercely competitive globally, particularly in top US programs. You should proactively engage in guided research projects to build a strong publication record and professional network, as this significantly enhances your application. Explore European programs like ELLIS, which may offer more accessible entry points and higher salaries, but always align your research interests with potential PIs.

Key insights

ML PhD admissions are extremely competitive, especially in the US, requiring significant prior research and networking.

Principles

• Top ML PhD programs demand exceptional publication records.
• AI hype intensifies global PhD program competition.
• European PhDs offer alternative paths and better pay.

Method

The ELLIS PhD program provides a structured application process to connect with top European ML PIs, requiring a second supervisor from a different country or industry for a minimum six-month stay abroad.

In practice

• Pursue unpaid guided research to build network.
• Research PI's current interests before applying.
• Explore ELLIS program for European opportunities.

Topics

• PhD Admissions
• Machine Learning Research
• Academic Competitiveness
• ELLIS PhD Program
• Graduate Education
• Research Publications

Best for: AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.