Beijing Union University

College of Medical Science and Technology   The College of Medical Science and Technology at Taipei Medical University invites applications for Assistant, Associate, or Full Professor position in Graduate Institute of Biomedical Informatics Contract type: Full-time Job Description Taipei Medical University is looking for a motivated member with Ph.D. degree with outstanding academic achievements in the field relating to degree in Biomedical engineering/Bioinformatics/Medical informatics/Artificial Intelligence, or a related discipline, who will contribute to our international research profile in a cross-disciplinary environment. The new appointee will be based at the College of Medical Science and Technology at Taipei Medical University. Salary $83,720NTD~ $198,770NTD per month + benefits Selection Criteria Qualifications A PhD degree with outstanding academic achievements in the field relating to Biomedical Engineering/Bioinformatics/Medical Informatics/Artificial Intelligence, especially in Artificial Intelligence, Medical Image Analysis and Clinical Big Data Analysis research, or a related discipline A successful candidate will have ability to apply for research grants and teach graduate courses Preference will be given to candidates with research experiences in conducting large projects Demonstrated ability to apply for research grants, with research experiences in conducting large projects, in writing research projects, and independent research will be advantageous Passion for teaching and talent cultivation Exhibits great communication skills, teamwork ability, and capacities in international exchange and cooperation Excellent English proficiency and research enthusiasm, good communication with well-developed interpersonal skills Application Documents: Please submit an application package consisting of the following documents via TMU New Faculty Application System (http://hr2sys.tmu.edu.tw/HRApply/default.aspx). Curriculum vitae and autobiography A photocopy of education and working experience diploma (any foreign diploma should be verified in advance by the overseas office, Republic of China (Taiwan) Publication list A statement of teaching interests with course outlines Previous teaching portfolio/outlines Two letters of recommendation Applicants of all nationalities are welcome. Taipei Medical University promotes employment opportunities. TMU commits itself to offering equal employment opportunities workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status to all applicants. Deadline and Submission Interested candidates please send the application package listed above via TMU New Faculty Application System (http://hr2sys.tmu.edu.tw/HRApply/default.aspx) by 17:00 GMT+8, March 31, 2026 Further information All inquiries about this position can also be sent to Ms. Ivan Wen at ivan_wen@tmu.edu.tw

Ref.: 534478 Work type: Full-time Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow/Senior Research Assistant in the Department of Orthopaedics and Traumatology, School of Clinical Medicine (Ref.: 534478), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics and Traumatology, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative treatments. Duties and Responsibilities Conduct research on medical image processing algorithms based on computer vision, deep learning and machine learning. Medical imaging modalities cover including but not limited to CT, MRI, X-ray and ultrasound images. Research tasks cover including but not limited to image segmentation, detection, classification, keypoint recognition, image registration, image synthesis, etc. Lead independent research projects and collaborate with partner medical institutions to complete the development, evaluation, translation, integration, deployment and other workflows of medical imaging-related algorithms. Deliver research outputs and achievements, including but not limited to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant. Applicants with a PhD degree in the above-mentioned areas are eligible to apply for the position of Post-doctoral Fellow.  Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms. Preference will be given to those familiar with the principles of various medical imaging technologies, and possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms, orthopedic imaging algorithms or other related fields are prioritized. Candidates with publications as first author in high-impact journals (medical or AI domains) or top-tier AI conferences are prioritized. Remuneration and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  Application procedure The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 31 May 2026, or until the post is filled, whichever is earlier. Enquiries about the duties of the post should be sent to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk).

Postdoctoral Fellow Position Announcement School of Public Health, Taipei Medical University (Lab of Dr. Wei-Cheng Lo) Job Title Postdoctoral Fellow Affiliation School of Public Health, College of Public Health, Taipei Medical University (TMU) Work Location 10F, Biomedical Technology Building, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City (Shuang-Ho Campus, Taipei Medical University) Research Overview The lab is led by Associate Professor, Dr. Wei-Cheng Lo (Nicholas). Our research mainly focuses on Burden of Disease estimation in Taiwan, as well as the long-term health impacts of lifestyle and environmental exposures. Using disease burden metrics as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts of diverse health risks on population health and societal burden. Our goal is to strengthen the evidence base for health policy planning and evaluation. In recent years, the laboratory has led multiple externally funded research projects supported by national funding agencies, including the National Health Research Institutes (NHRI), the National Science and Technology Council (NSTC), the National Health Insurance Administration (NHIA), and the Health Promotion Administration (HPA). Key Responsibilities Conduct research projects funded by the NSTC and assist with additional assigned academic and administrative tasks. The laboratory maintains long-standing collaborations with the Taiwan Burden of Disease Center, the Institute of Epidemiology and Preventive Medicine at National Taiwan University (NTU), and the Institute of Statistical Science at Academia Sinica. The successful candidate will have opportunities to engage in cross-institutional research projects and participate in interdisciplinary academic discussions with collaborating scholars.   Working Hours Monday to Friday, standard 9-hour shift (including a 1-hour lunch break). Qualifications Ph.D. or Master’s degree in Public Health, Epidemiology, Biostatistics, or related medical/pharmaceutical fields. Proficiency in statistical software such as R, SAS, STATA, or Python. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred. Strong interest and commitment to medical and public health research. Proactive, eager to learn, and able to work effectively in a team environment.   Salary and Benefits This postdoctoral research fellowship will be funded by the National Science and Technology Council (NSTC). Salary will follow NSTC’s approved pay scale. Starting salary may be adjusted based on academic qualifications and experience; candidates with extensive relevant experience may negotiate salary. Year-end and other bonuses, as well as additional benefits, are provided according to university regulations.   Application Method Interested candidates should submit the following materials via email: CV (including contact information), autobiography, degree certificate, thesis/publications, and other supporting documents. Email: jenny612010@gmail.com (Please specify "Application for Postdoctoral Fellow" in the subject line). Contact Person: Ms. Chih-Yu Liao (Jenny) Phone: 02-6620-2589 #16094   Selection Process Qualified candidates will be contacted via phone or email to schedule an interview. Candidates who do not meet the requirements will not receive separate notification. Additional Information The lab provides a supportive and dynamic working environment. Dr. Lo is approachable and highly committed to the career development of lab members. Research publication and continuous learning are actively encouraged, including participation in domestic and international conferences and professional training, with financial support provided within available resources.