Artificial Intelligence Research Center

*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 Jul 15, 2025 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, 2025 or February 1, 2026 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

📅 Date: 2025/04/22 (Tuesday) 13:00 - 16:00 (Check-in starts at 12:50) 🎤 Speakers: Prof. Yu-Chung Wang, Deputy Director, AI Research Center Assistant Prof. Fu-Chiang Chou, Research Fellow, AI Research Center 📍 Location: AI Research Center, 11th Floor, Management Building, Chang Gung University 時間Time 工作坊內容Content 講師Speaker 13:00-14:30 (90 mins) AI教學平台使用教學 AI Center Teaching Platform Usage Instruction 人工智慧研究中心 副主任王佑中教授 Deputy Director\ Prof. Yu-Chung Wang, AI Research Center 14:30-16:00 (90 mins) 生成式AI：RAG技術實作 Generative AI: RAG Technology Implementation 人工智慧研究中心博士級研究助理周福強助理教授 Doctoral-level Research Assistant \ Assistant Prof. Fu-Chiang Chou, AI Research Center Intended Audience This workshop is ideal for teachers, teaching assistants, and researchers interested in utilizing AI technology in education. How to Register? Login to iCGU → Go to Event Registration System → Select Workshop on Using AI Teaching Platform 📌 Seats Available: 30 participants (Until full capacity is reached). Please bring a laptop with internet access. 📌 Workshop Credit Hours: Teachers will receive 3 hours of training credits. Participants must check in by 13:10 and attend the full session to receive credits. Partial attendance or missing check-in/check-out will not be counted towards teaching quality improvement hours. Contact Information 📞 Contact: 3001; 413-3001

Topic: AI in Drug Discovery and Development Speaker: Yufeng Jane Tseng.  Department of Computer Science and Information Engineering, National Taiwan University Time: 2025/04/15 (Tue) 14:00-16:00 Venue: The Management Building, 11F, AI Lecture Hall Join Online: https://reurl.cc/XAeDDa or scan QR code on poster  About the Speaker:   Professor Yufeng Jane Tseng received her B.S. degree in Pharmacy from National Taiwan University in 1997. Prof. Tseng then received her Ph.D. in Medicinal Chemistry and Pharmacognosy from the University of Illinois at Chicago (UIC) in 2002 and received the Charles Bell Award for Computational Chemistry in 2001. From 1998 to 2006, Prof. Tseng worked as a Principal Molecular Modeling Software Developer at The Chem21 Group, Inc., in Lake Forest, USA. From 2004 to 2006, Prof. Tseng also worked as a postdoctoral research fellow at the National Center for Biotechnology Information, National Institutes of Health in Bethesda, MD, USA. Prof. Tseng joined the Department of Computer Science and Information Engineering at National Taiwan University (NTU) in 2006 as an Assistant Professor and holds a joint appointment at the School of Pharmacy also at NTU. Prof. Tseng has devoted 19 years of active service in education and is a leader in computational chemistry and computer-aided drug design. Since 2009, she has founded and served as the Principal Investigator of the Metabolomics Core Laboratory at NTU. Since 2010, Prof. Tseng has been organizing and chairing the Drug Discovery Symposium at the American Chemical Society (ACS) National Meetings and continues her services at ACS to the present. In 2014, she became a Professor at the Graduate Institute of Biomedical Electronics and Bioinformatics, with the Department of Computer Science and Information, and at the School of Pharmacy. Prof. Tseng was appointed the Director of the Drug Research Center at NTU, and in 2016, she was appointed the associate Director of the Neurobiology and Cognitive Science Center at NTU. In 2019, she was appointed as the associate chair of the Computer Science and Engineering department at NTU and the center scientists at the National Center for Theoretical Sciences, Physics Division (NCTS Physics). In 2020, she was appointed as the Principal Investigator at Stanford-Taiwan Biomedical Fellowship Program, STPI. Abstract: AI or deep learning is a buzzword in recent years. How it was applied and truly helped remained vague in drug discovery and drug development. This talk is going to cover the use of computer-aided techniques as well as the true AI aided process in the CNS disease. Organizers: College of Intelligent Computing & Artificial Intelligence Research Center ※ No registration needed.

Topic: Video Understanding and Generation with Multimodal Foundation Models Speaker: Ming-Hsuan Yang.  Department of Electrical Engineering and Computer Science, University of California, Merced Time: 2025/03/25 (Tue) 14:10-16:00 Venue: The Management Building, 11F, AI Lecture Hall Join Online: https://reurl.cc/b3M6rd or scan QR code on poster  About the Speaker:   Ming-Hsuan Yang is a Professor at the University of California, Merced, and a Research Scientist at Google DeepMind. He has received numerous prestigious awards, including the Google Faculty Award 2009, the NSF CAREER Award 2012, and the Nvidia Pioneer Research Award 2017 and 2018. He received Best Paper Honorable Mention at UIST 2017, Best Paper Honorable Mention at CVPR 2018, Best Student Paper Honorable Mention at ACCV 2018, Longuet-Higgins Prize (Test-of-Time Award) at CVPR 2023, Best Paper at ICML 2024, and Test-of-Time Award from at WACV 2025. Yang is an Associate Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) and an Associate Editor for the International Journal of Computer Vision (IJCV). Previously, he was the Editor-in-Chief of Computer Vision and Image Understanding (CVIU) and Program Co-Chair for ICCV 2019. He is a Fellow of IEEE, ACM, and AAAI. Abstract: Recent advances in vision and language models have significantly improved visual understanding and generation tasks. In this talk, I will present our latest research on designing effective tokenizers for transformers and our efforts to adapt frozen large language models for diverse vision tasks. These tasks include visual classification, video-text retrieval, visual captioning, visual question answering, visual grounding, video generation, stylization, outpainting, and video-to-audio conversion. If time permits, I will also discuss our recent findings on learning diffusion models and dynamic 3D vision. Organizers: College of Intelligent Computing & Artificial Intelligence Research Center ※ No registration needed.

The College of Intelligent Computing and the AI Research Center are co-hosting an Info Session on Study Exchange at Poznan University of Technology, Poland, and we warmly invite all interested students to join! We’re honored to have two distinguished guests from Poznan University of Technology as our speakers: Prof. Mariusz Głąbowski, Ph.D., D.Sc. – Vice-Rector for International Relations Associate Prof. Anna Kobusinska, Ph.D., D.Sc. – Head of the Division of Computing Systems During the session, they will share valuable insights on: ✅ An insider’s look at Poznan University of Technology ✅ Study opportunities in Poland & available scholarships ✅ How to apply for the exchange program and key preparation tips Event Details: 📅 Date & Time: March 21, 2024 (Friday) | 11:50 AM – 1:00 PM 📍 Venue: AI Research Center, 11F, Management Building, Chang Gung University 🔗 Registration: https://forms.gle/YcLtXTmddStzx3Ar6 📝 Sign-up Deadline: Until March 19 (Registration will close early if spots are full) 🍱 Lunch will be provided!