# pliang279/awesome-phd-advice

Collection of advice for prospective and current PhD students

Repository: https://github.com/pliang279/awesome-phd-advice
Canonical: https://ross.abutalabs.com/products/awesome-phd-advice
License: MIT
License Family: permissive
Topics: phd-students, phd-application, research, computer-science, machine-learning
Last push: 2024-07-10T01:35:33+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1625, "days_push": 785, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2153, forks 161 (observed 2026-08-28T04:06:19.496886+00:00)

## What it is
A curated awesome-list collection of advice articles, guides, and resources for prospective and current PhD students, maintained by Paul Liang of CMU. It covers applications, statements of purpose, research, writing, reviewing, fellowships, and job search.

## Use cases
- find advice on applying to CS PhD programs
- learn how to write a statement of purpose
- find PhD survival guides and research tips
- prepare for fellowship applications
- get advice on choosing an advisor and school
- find academic job search resources

## When to choose
- you are applying to or starting a PhD in computer science or machine learning
- you want a curated index of grad school advice from many authors
- you are a current PhD student seeking guidance on research, writing, or careers

## When to avoid
- you need software or a tool rather than reading material
- you seek advice for non-PhD education paths like masters or undergrad
- you need field-specific advice outside academia

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: education, tutorials, awesome-lists
- platform: -
- tags: phd-advice, grad-school, research, awesome-list, academia, web-server

## Member repositories
- pliang279/awesome-phd-advice (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.496886+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:50:38.329360+00:00, confidence not recorded.
  - readme: https://github.com/pliang279/awesome-phd-advice (fetched 2026-08-28T04:06:19.496886+00:00, sha f4064edb1db8)
- Data as of 2026-08-30T08:39:29.467469+00:00.