Deskripsi Pekerjaan
Join the National University of Singapore (NUS) as a Research Engineer in Medical Imaging and contribute to groundbreaking healthcare innovations. This role offers a unique opportunity to work at the intersection of engineering, medicine, and artificial intelligence, developing cutting-edge solutions that advance diagnostic accuracy and treatment efficacy. You'll collaborate with leading clinicians and scientists in state-of-the-art facilities, translating theoretical research into practical applications that impact patient care globally. NUS provides a dynamic environment where your technical expertise can thrive through interdisciplinary projects, industry partnerships, and exposure to emerging technologies like AI-driven image analysis and 3D reconstruction. Ideal for innovators passionate about solving real-world medical challenges through engineering excellence.
Tanggung Jawab
- Design and implement advanced medical imaging algorithms for diagnostic and therapeutic applications
- Develop machine learning models for automated image segmentation, classification, and anomaly detection
- Conduct experimental validation of imaging techniques using clinical datasets and phantom studies
- Collaborate with multidisciplinary teams including radiologists, oncologists, and biomedical engineers
- Author technical documentation, research papers, and patent disclosures
- Manage research projects including timeline adherence, resource allocation, and milestone tracking
- Stay current with regulatory standards (FDA, CE marking) for medical device development
Kualifikasi
- Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Science, or related field
- Minimum 3 years of experience in medical imaging technologies (MRI, CT, PET, ultrasound)
- Proficiency in programming languages: Python, MATLAB, or C++ for algorithm development
- Strong foundation in signal/image processing and machine learning frameworks
- Experience with medical imaging toolkits (e.g., ITK, SimpleITK, PyTorch) and DICOM standards
- Excellent analytical and problem-solving abilities with attention to detail
- Strong communication skills for cross-functional collaboration and technical presentations