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想用研究回答真實世界的健康政策問題嗎?我們在找對問題有好奇心、願意扎實學方法的夥伴。Want to answer real-world health policy questions with research? We are looking for curious people who are ready to learn rigorous methods.

2,300萬23M

全民健保涵蓋人口covered by Taiwan's national health insurance

串連全民健保、學生體適能等全國資料,從真實政策問題中學會因果推論方法。Linked national insurance and student fitness data — learn causal inference on real policy questions.

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場學生國際研討會發表student presentations abroad

2023 年以來,同學在 iHEA、EuHEA、AcademyHealth、APACPH 等國際年會發表。Since 2023, students have presented at iHEA, EuHEA, AcademyHealth and APACPH.

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博士生獲博士生研究獎學金PhD students with national scholarships

在學博士生皆獲國科會或教育部博士生研究獎學金,另有多項研討會論文與海報獎。Every current PhD student holds an NSTC or Ministry of Education doctoral scholarship.

卓越導師Top mentor

用心的一對一指導Hands-on mentoring

梁老師獲 114 學年度陽明交大卓越導師獎與醫學院優良教學獎。小團隊,每位同學都能直接與老師討論研究。Prof. Liang received NYCU's Outstanding Mentor Award and the College of Medicine Teaching Excellence Award (2026). In a small team, every student works directly with the PI.

招生與職缺Openings

長期招生Always welcome

碩士生・博士生MSc & PhD students

陽明交大公共衛生研究所碩士班、博士班,以及國際衛生碩士學位學程(全英語)。歡迎公衛、醫護、經濟、統計、資訊等背景。MSc and PhD programmes at the Institute of Public Health, and the English-taught International Health Program at NYCU. We welcome backgrounds in public health, medicine and nursing, economics, statistics and computing.

研究方向Research areas AI 與數位健康AI & digital health 初級照護Primary care 性別與健康不平等Gender & health inequality 體適能Physical fitness 政策評估Policy evaluation

特別歡迎對 AI 與數位健康有興趣的同學:從生成式 AI 衛教對話機器人的多中心臨床試驗、AI 分診架構,到用 AI 工具加速研究流程,都是實驗室正在做的事。Especially welcome: students interested in AI and digital health — from a multicentre trial of a generative-AI patient-education chatbot and AI triage frameworks, to speeding up research with our own AI tools.

你會學到What you will learn

  • 健保等大型行政資料的處理與分析Handling and analysing large administrative data
  • 中斷時間序列、差異中之差異等因果推論方法Causal inference: interrupted time series, difference-in-differences and more
  • 英文論文寫作與國際研討會發表Writing papers and presenting at international meetings
  • 用實驗室自建的 AI 工具更有效率地讀文獻、做研究Working efficiently with the lab's own AI tools
視計畫開缺As funding allows

研究助理・博士後研究人員Research assistants & postdocs

參與國科會等研究計畫,負責資料分析、文獻整理或數位工具開發。Join funded projects (NSTC and others) in data analysis, evidence synthesis or digital tool development.

待補 · 目前是否有開缺;有的話附職缺說明連結

如何聯繫How to reach us

  1. 來信簡單介紹自己與感興趣的研究主題Email a short introduction and the topics that interest you
  2. 附上履歷與成績單Attach your CV and transcript
  3. 約時間與老師聊聊(線上或實體)Meet the PI, online or in person
待補 · 請老師確認來信需附的資料 寫信給梁老師Email Prof. Liang

想知道在這裡的日子?Curious what life here is like?

同學的國際發表、獲獎與實驗室日常,都在實驗室生活頁。Student presentations, awards and everyday lab moments are on our Lab Life page.

看看實驗室生活See lab life
Collaborate

與我們合作Work with us

我們歡迎政府部門、醫療院所、學研單位與國際團隊的合作:從政策問題的界定、資料串連與分析,到成效評估與數位介入的臨床試驗。We welcome collaboration with government agencies, health care providers, research institutions and international teams — from framing policy questions and linking data, to impact evaluation and clinical trials of digital interventions.

合作洽詢Get in touch
  • 政策與介入成效評估Policy & programme evaluation健康經濟、應用計量、因果推論Health economics, applied econometrics, causal inference
  • 跨國比較研究Cross-national research107 國 COVID-19 疫苗與人流分析;50 國 169 位專家的青少年體適能檢測國際共識COVID-19 vaccination and mobility across 107 countries; youth fitness testing consensus with 169 experts from 50 countries
  • 數位健康臨床試驗Digital health trials與多家醫院合作的 AI 衛教多中心隨機對照試驗A multicentre randomised trial of an AI patient-education tool with partner hospitals
  • 公部門委託與合作Public-sector partnerships國科會、衛生福利部、教育部國民及學前教育署等計畫Projects with the NSTC, Ministry of Health and Welfare, and the K-12 Education Administration

聯絡方式Contact

  • Emailliang.lilin@nycu.edu.tw
  • 電話Phone(02) 2826-7000 #67156
  • 地址Address112304 台北市北投區立農街二段 155 號 醫學二館Medical Building II, No. 155, Sec. 2, Linong St., Beitou, Taipei 112304, Taiwan