長庚大學

*Full-Time Research Fellow Invitation* Assistant/ Associate/ Full Research Fellows in Artificial Intelligence Research Center, Chang Gung University Artificial Intelligence Research Center (AIC) at Chang Gung University (CGU) currently invites applications for full-time Assistant, Associate, and Full Research Fellows. There are 2 positions to be filled. Research Fellow Positions: We are looking for candidates with research areas in machine learning, computer vision, natural language processing, smart medicine, smart manufacturing, robotics, metaverse and human-computer interaction. Candidates should have a Ph.D. degree in Artificial Intelligence, Computer Science, Data Science, Engineering, Biomedical or related areas. Senior candidates must demonstrate significant research achievement, and have an international reputation such as strong publication records, patents, industrial experience, or other academic achievements. CGU AIC is a research-oriented institute and teaching duties are not required. Application Deadline: (1)   There is no application deadline. However, applications received by  Jun 15, 2026 will receive the fullest consideration. (2)   Application materials will be reviewed on a first-come, first-served basis. (3)   Interview date/time will be set up promptly if an application has received a favorable opinion by the committee. Online interviews can be arranged. Starting Date:  August 1, 2026 or February 1, 2027 CGU Artificial Intelligence Research Center offers an internationally competitive compensation package commensurate with the candidate’s professional experience. Successful candidates will be appointed at the level of Assistant, Associate or Full Research Fellow according to qualifications. Application Requirements: (1)   Cover letter (one-page). (2)   CV with higher academic degree details (undergraduate to Ph.D.), professional experiences, research statement, publication list, and a list of three professional references. (3)   Chang Gung University is an equal-opportunity employer following the international standard for diversity and inclusion. Applicants from all regions and nationalities are welcome. (4)   Please submit your application in PDF files or in a cloud storage link to Ms. Sue Liu (sueliu@cgu.edu.tw). About AIC @ CGU Artificial Intelligence Research Center (AIC), established with the support of the Formosa Plastics Group (one of the largest private enterprises in Taiwan), is a research center in the Chang Gung University (CGU). In addition to the Formosa Plastics Group companies, AIC works closely with the Chang Gung Medical Foundation (the largest healthcare system in Taiwan) on advanced medical research projects, as well as other research centers in Chang Gung University. AIC also has strong connections with many world-leading high-tech companies in Taiwan. AIC researchers work closely with the faculty in the College of Intelligent Computing (CoIC), many with joint appointments from both units. CoIC is the first academic college in Taiwan devoted to the research and education of the AI technology and application. CoIC has many highly-reputed research faculty with a strong international and/or industrial working experience. AIC researchers and CoIC professors conduct joint research projects using AIC’s server hardware, IoT equipment and other research facilities. The center/college joint research eco-system further provides the support for CGU university-wide and international AI research activities. Chang Gung University (CGU), a student centric and research-directed university with entrepreneurial spirits, was established by the founding Wang family of the Formosa Plastics Group. CGU is highly ranked globally in the QS World Universities Rankings 2023, and in the top 5 among the 151 universities in Taiwan. CGU has 4 colleges: College of Medicine, College of Engineering, College of Management, and College of Intelligent Computing. CGU offers a student-faculty ratio of 12:1, with ~7,000 students, ~600 full-time faculty and ~665 adjunct faculty members. The University strives for excellence in research, teaching, and innovative technology commercialization. Under strong support from the Formosa Plastics Group and the Chang Gung Medical Foundation (the largest private-owned healthcare system in Taiwan), CGU provides advanced yet practical training on industrial technology and medical sciences. CGU is located in the suburban area of the Taipei city, about 30 minutes to the city center by Metro (Mass Rapid Transit). For details about Chang Gung University, please visit  https://www.cgu.edu.tw/en Learn more about CGU: https://www.cgu.edu.tw/en AIC:  https://www.cgu.edu.tw/aic-en

演講主題：臨床AI的開發循環：從發現訊號到臨床試驗與真實世界部屬   講者: 林嶔博士 國防醫學大學醫學系教授   時間: 2026/3/11 (三)  12:10-14:00   地點: 管理大樓11樓-AI講堂 或 線上直播https://reurl.cc/GG72GG   報名連結: https://reurl.cc/R9AMeD或掃描海報QRcode   (教職員可獲得2小時活動時數認證，請上活動報名系統報名參加)   講者簡介:   林嶔博士為資料科學家，長期致力於建立醫療人工智慧的臨床實證標準。其研究整合大規模電子病歷、心電圖、醫學影像與居家感測資料，發展不僅具備高準確度，更能改變臨床決策並改善病人結果的AI系統。林博士已主持或共同主持超過十項AI隨機對照試驗，研究成果發表於Nature Medicine、NEJM AI、Radiology與Nature Communications等國際頂尖期刊。其團隊所開發之AI-ECG系統已取得TFDA核可與USFDA突破性醫材認定，完成技術移轉，並實際部署於多家醫院與偏鄉社區篩檢計畫。其核心理念在於將AI視為一種系統性臨床介入，強調從模型預測、醫師行動到病人結果之間的因果路徑，並以嚴謹的臨床試驗與真實世界證據，建立可被信任與長期運作的醫療AI科學。   演講摘要:   近年來人工智慧在醫療領域的應用已從單純的模型效能展示，逐步邁向以臨床效益為核心的實證導向發展。本演講提出「clinical AI cycle」的整體架構，系統性說明臨床 AI 如何從訊號發現、經由務實型臨床試驗驗證效益，最終成功導入真實世界的醫療與公共衛生場域。首先，在signal discovery階段，演講將說明如何利用心電圖（ECG）、胸部 X 光（CXR）等例行性檢查，結合電子病歷（EHR）與多模態資料，透過資料驅動與基礎模型（foundation models）的方法，辨識潛在但尚未被臨床察覺的疾病風險。此一策略使單一檢查得以同時對應多種疾病，突破傳統「一檢查一疾病」的篩檢限制。其次，在pragmatic trials階段，本演講強調 AI 模型必須搭配預先定義的臨床行動（pre-specified actions），並嵌入真實醫療流程中加以評估。透過數位化臨床試驗平台與隨機對照試驗設計，AI 不僅被視為預測工具，更被定位為促發臨床介入、進而改善病人預後的決策引擎。最後，在real-world deployment階段，演講將展示 AI 如何擴展至社區醫療、居家照護與穿戴式裝置，並結合大型醫療資料庫，形成可持續監測與回饋的臨床 AI 生態系。透過此一循環式架構，AI 得以不斷從實務應用中產生新資料與新發現，推動醫療決策從醫院走向社區與家庭。   主辦單位：健康數據科學研究所    ※本活動需報名

演講主題：Merging Sensors, AI, and VR for Athlete Training — 整合感測技術、人工智慧與虛擬實境打造頂尖運動訓練 講者:  胡敏君教授 國立清華大學資訊工程學系副系主任 時間: 2026/3/10 (二)  14:00-16:00 地點: 管理大樓11樓-AI講堂 直播連結: https://reurl.cc/EbkDzv 或 掃描海報 QR code 講者簡介: 胡敏君教授於 2011 年取得國立台灣大學資訊網路與多媒體研究所博士學位。畢業後，先後於中央研究院資訊科技創新研究中心擔任博士後研究員，隨後任教於國立成功大學資訊工程學系擔任助理教授及副教授。目前任職於國立清華大學資訊工程學系專任教授。胡教授曾獲頒多項重要獎項，包括潘文淵基金會考察研究獎（2015）、中華民國資訊學會核心卓越青年學者獎（2017）、IEEE 台南分會最佳青年專業會員獎（2018）、Google Research exploreCSR 獎（2021-2024）、CES 創新獎（2023）以及國科會吳大猷先生紀念獎（2023）。她的研究領域涵蓋數位訊號處理、多媒體內容分析、電腦視覺、電腦圖學、虛擬實境（VR）與擴增實境（AR）。作為一名熱愛籃球的運動愛好者，胡教授長期致力於運動科技的開發，旨在輔助運動員進行訓練與表現分析。她曾擔任國家運動科學中心副執行長，同時也是專精於 AI 運動分析技術的新創公司「紐因科技 (NeuinX)」的共同創辦人。 演講大綱: 戰術與技能訓練是運動員邁向卓越的關鍵。在人工智慧（AI）技術的加持下，我們能精準追蹤場上的球體與球員動態，捕捉每一個細微動作，讓教練能輕鬆掌握詳細統計資料並解析敵我戰術。同時，虛擬實境（VR）技術也進一步強化戰術與技能訓練的成效與體驗。本次演講將分享如何利用 AI 與 VR 技術幫助運動員更聰明地收集數據，全方位強化競技實力。  主辦單位：智慧運算學院、人工智慧研究中心  ※本活動無需報名

演講主題：How to Know Earlier? Using Machine Learning to Identify the Risk of Disease Development - the Case of Glaucomatous Neuropathy 講者: Dr. Cezary Mazurek 波茲南超級電腦與網路中心 時間: 2025/12/16 (二) 11:00-12:00   講者簡介: Dr. Cezary Mazurek, Computer Scientist, his professional activity has been associated with the development of the Poznan Supercomputing and Networking Center (PCSS) since its establishment in 1993. He served as CEO of PCSS from 2019 to 2024 and at that time he successfully brought it onto the path of developing infrastructure and applications of quantum computing and AI, and is now continuing this thread with a focus on applications in Life Sciences and Personalized Medicine. For over 30 years, he has been involved in the development of Polish and European e-infrastructure for science and is currently one of the most experienced leaders in R&D projects, many of which he has successfully implemented in practice. To date, he has led development of more than 40 national and international R&D projects. His R&D work has focused on integrating various specialized software components into consistent systems for digital science with emphasis on software governance. In recent years, he has been involved in the development of domain research infrastructures, such as for digital humanities, as well as for personalized medicine.     Cezary’s scientific activities mainly focus on applying machine learning methods for early detection of disease development mechanisms. A solution led by him to support pre-symptomatic diagnosis of glaucoma development using machine learning received patent protection from the Japan Patent Office in 2023 and from European Patent Office in 2025. He is currently extending his interests to advanced methods of data collection and analysis in a digital twin model. He is author or co-author of over 100 papers in professional journals and conference proceedings. Since 2020 the President of Wielkopolska ICT Cluster. Since 2023 the member of GÉANT Association Board of Directors. In 2024 he initiated the establishment of a national consortium EBRAINS-PL and became the member of EBRAINS National Node Board. IEEE Senior Member, member of IEEE Computer Society as well as IEEE Computational Intelligence Society.     演講大綱: In recent years, there has been a significant increase in the number of studies on the role of artificial/assisted intelligence in the diagnosis of eye diseases. Scientific work in this field is mainly based on the analysis of imaging examinations. However, the development of diseases is very often caused by functional disorders that remain hidden for many years and are not immediately visible in the form of clinical symptoms. An example of such diseases is glaucomatous neuropathy. Since 2014, we have been working in a transdisciplinary team on intelligent decision support technology in the functional diagnosis and treatment of glaucomatous neuropathy. The functionality of the developed software platform is based on the assessment of non-intraocular-pressure risk factors in the development of glaucomatous neuropathy, enabling glaucoma specialists to be supported in the recognition, quantification, and differential diagnosis of glaucomatous neuropathy. The developed system, based on a predictive model, enables the identification of individuals with ocular hypertension at significantly high risk of conversion to primary open-angle glaucoma, as well as the assessment of the effectiveness of glaucoma therapy. The solution has been patented in Japan and Europe.   The above example shall also help to present the latest trends in our research work on neurodegenerative diseases and brain health initiated around the EBRAINS research infrastructure, artificial intelligence, and quantum computing technology.       主辦單位：智慧運算學院、人工智慧研究中心 ※本活動無需報名

演講主題：台北智慧城市建設案例分析 講者:  李達生博士 國立臺北科技大學 能源與冷凍空調工程系 終身特聘教授 時間: 2025/11/11 (二)  14:00-16:00 地點: 管理大樓11樓-AI講堂 直播連結: https://reurl.cc/K9VY6n 或 掃描海報 QR code 講者簡介: 李達生博士為臺北科技大學終身特聘教授，兼任多個研究與產業顧問職務，致力整合產學研推動節能減碳技術。實務上，帶領團隊協助台灣19個產業、百餘工廠改善空壓機、冰水主機、冷卻水塔與鍋爐，並導入AI深度節能。研究方面，2015~2024年專注AI應用於節能減碳，在SCI發表28篇相關論文，總發表47篇，廣受引用，並獲2024年Stanford「全球前2%頂尖科學家」肯定。 演講大綱: 本演講將探討自2016年起，臺北市TPMO推動315件PoC智慧城市專案，助力城市智慧建設與永續發展。2024年，臺北在Smart City Index與Cities in Motion Index中分別位列16與27名，碳排放自12,409,700降至10,931,500噸，減碳11.9%。研究發現，大企業與中小企業協力形成economy co-evolution loop，是提升智慧程度與永續發展的關鍵。基於five-stage整理法，提出six-stage AI Driven Smart City Framework，結合AI research loop與PoC duplicate loop，可量化導入AI，建構智慧永續城市。 主辦單位：智慧運算學院、人工智慧研究中心  ※本活動無需報名