"Tips for Computer Science Faculty Applications" by Yisong Yue #64

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1. lintool

   changed the title [-]Tips for Computer Science Faculty Applications[/-] [+]"Tips for Computer Science Faculty Applications" by Yisong Yue[/+] on Sep 6, 2026
2. lintool

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   advice-by-others

   on Sep 6, 2026
3. lintool commented on Sep 6, 2026

   

   lintool

   on Sep 6, 2026

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   A summary of Yisong Yue’s guide, updated September 28, 2024, plus reactions.

   TL;DR: Present a coherent future research agenda, using past accomplishments as evidence that you can deliver it. Yue’s advice primarily reflects research universities in the US and Canada.

   • Make the research vision clear immediately. Explain the intellectual thread connecting your projects on the first page. Avoid generic motivation and a paper-by-paper inventory.
   • Plan at the scale of a research program. Future directions should support PhD theses; combine ambition with critical scrutiny of feasibility.
   • Give each application component a purpose. Keep the cover letter short and useful for routing. Explain your teaching philosophy, classroom and advising experience, and courses you could teach. For diversity statements, emphasize thoughtful principles and concrete contributions.
   • Choose evidence carefully. Representative publications should showcase your strongest contributions, balancing breadth and coherence.
   • Prepare recommenders early. Strong letters matter greatly. Give writers enough time, avoid diluting strong support with weak letters, and discuss whether they should explain unusual circumstances.

   Reactions:

   • Practical endorsement: In his account of the 2025 faculty application cycle, Ryan Cosner names Yue’s guide among the resources he found particularly helpful and explicitly thanks its author.
   • Circulation on X: A reply to the September 2024 announcement tags another reader. This shows sharing, but adds no substantive assessment of the advice.

   I did not find a detailed independent critique in the accessible results. The available reactions chiefly indicate usefulness and circulation.

   The summary and reaction roundup above were generated by GPT-6 Astra in Codex.