AIMLab (Artificial Intelligence in Medicine Lab) welcomes students and researchers who want to build AI for healthcare that people can trust. Our work runs in three programs: contactless physiological sensing from face video (rPPG Program), multimodal language models for emotion-aware and empathic care (MLLM Program), and AI reading of coronary angiography (CAG Program). Underneath them sit medical image analysis, biomedical signal processing and human-centered system design.人工智慧醫學實驗室（AIMLab）歡迎想打造人們能信任的醫療 AI 的學生與研究者加入。我們的研究分為三個計畫：從臉部影像做非接觸式生理量測（rPPG 計畫）、理解情緒並給予同理回應的多模態語言模型（MLLM 計畫），以及冠狀動脈攝影的 AI 判讀（CAG 計畫）。三者共同的基礎是醫學影像分析、生醫訊號處理與以人為本的系統設計。
We value curiosity, strong fundamentals, and engineering discipline. Applicants from Electrical Engineering, Computer Science, Biomedical Engineering, or related fields are welcome.我們重視好奇心、扎實的基礎與工程紀律。歡迎電機、資工、生醫工程或相關領域的申請者。
Prospective PhD applicants interested in medical AI are encouraged to apply through the NYCU Institute of Intelligent Bioelectrical Engineering (IBE) graduate portal. In your statement of purpose, please describe your research interests and mention your interest in joining AIMLab and working with Prof. Chia-Yen Lee.對醫療 AI 有興趣的博士班申請者，請透過陽明交大智慧醫電工程研究所的招生管道申請。研究計畫書中請說明你的研究興趣，並註明希望加入 AIMLab、由李佳燕教授指導。
We welcome motivated master’s students who want to do real research in one of the three programs: multimodal language models and emotion recognition, contactless physiological sensing, or medical image analysis for cardiology. Strong fundamentals in machine learning matter most; prior experience with speech, vision, physiological signals or LLMs is helpful but not required.歡迎有動力做真正研究的碩士生加入三個計畫之一：多模態語言模型與情緒辨識、非接觸式生理量測，或心臟科的醫學影像分析。最重要的是扎實的機器學習基礎；有語音、視覺、生理訊號或 LLM 經驗更好，但非必要。
We welcome applications from postdoctoral researchers with experience in multimodal learning, large language models, medical image analysis, computer vision or biomedical signal processing. To apply, please email your CV and a short research statement.歡迎具備多模態學習、大型語言模型、醫學影像分析、電腦視覺或生醫訊號處理經驗的博士後研究員申請。請以 email 寄送履歷與簡短的研究說明。
We are open to collaborations with academic teams, medical institutions, and industry partners interested in AI-driven healthcare technologies.歡迎對 AI 醫療技術有興趣的學術團隊、醫療機構與產業夥伴洽談合作。