# zhanglj37/Tutorial-on-PhD-Application

Tutorial on PhD Application

Repository: https://github.com/zhanglj37/Tutorial-on-PhD-Application
Canonical: https://ross.abutalabs.com/products/tutorial-on-phd-application
License Family: other
Last push: 2024-05-12T23:05:38+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": 1659, "days_push": 843, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1088, forks 110 (observed 2026-08-28T04:03:32.568268+00:00)

## What it is
A comprehensive Chinese-language tutorial repository on applying for PhD programs, covering materials preparation, timelines, school selection, contacting professors, interviews, and funding negotiation. It includes reference materials such as sample CVs and links to experience posts.

## Use cases
- how to apply for a PhD abroad
- prepare PhD application materials like CV and recommendation letters
- PhD application timeline and school selection advice
- how to email professors before applying to grad school
- PhD interview preparation tips
- negotiating funding after PhD admission

## When to choose
- you are preparing to apply to PhD programs, especially from China or without overseas experience
- you want a detailed end-to-end walkthrough of the application process with curated reference materials

## When to avoid
- you need field-specific advice that differs greatly from the author's quantitative psychology/educational measurement background
- you want an interactive tool or software rather than a written guide

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation
- domain: education, tutorials
- platform: -
- tags: phd-application, graduate-school, study-abroad, guide, chinese-language, academic-career, web

## Member repositories
- zhanglj37/Tutorial-on-PhD-Application (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.568268+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 2026-08-30T06:49:24.598499+00:00, confidence not recorded.
  - readme: https://github.com/zhanglj37/Tutorial-on-PhD-Application (fetched 2026-08-28T04:03:32.568268+00:00, sha 42a7f83fdd14)
- Data as of 2026-08-30T08:39:29.467469+00:00.