The MVAIT lab at Nanyang Technological University conducts high quality research on AI for medicine. These projects include the development of AI and software tools for the analysis of different types of medical data, such as omics, cell and medical imaging data. The objective is to enhance clinical efficiency and introduce affordable and effective biomedical technology to the society.
The role of the Research Fellow includes conducting research on medical imaging data processing, 3D reconstruction, and AI algorithms with surgical robotics. The RF will not only design and implement state-of-the-art algorithms but will also be actively involved in the development and refinement of AI tools tailored for diverse medical domains. These endeavors aim to bridge the gap between advanced computational solutions and practical medical applications. The tools and solutions developed by the RF will be meticulously adapted to help the clinicians, radiologists, and biologists, facilitating them in their daily tasks and pioneering research. The RF will be involved in projects which aims to harness technology for the enhancement of patient outcomes and clinical efficiency.
Key Responsibilities:
- Design and implement AI algorithms to analyze medical datasets, including MR, CT, X-ray and microscopy data.
- Conduct research on high-precision medical analysis and data interpretation.
- Develop, test, and refine AI tools for different medical domains, ensuring the efficiency of the tools in real-world medical settings.
- Design dashboards or visualization tools to incorporate the implemented AI algorithms, and utilize VR/AR equipment and 3D visualization to enhance the understanding for clinicians, as well as facilitate in the training of students.
- Collaborate with external researchers and interdisciplinary teams, including radiologists, surgeons, and roboticists, to ensure the project practicality and clinical relevance.
- Assist in developing AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
- Analyze and interpret the data outcomes from the AI models and the medical procedures to provide critical insights and suggestion for improvements.
- Be aligned and updated with the latest advancements in medical imaging, image processing, and robotics to ensure that the research conducted is at the forefront of the field.
- Collaborate with external researchers to conduct research on AI and ML on medical datasets.
- Publish articles in high quality journals, ensuring that the research are recognized and accessible to the broader scientific community.
- Participate in the drafting of research projects to secure projects and contribute to the strategic research direction of the lab.
- Ensure that research activities adhere to ethical guidelines and patient data privacy regulations.
Requirements:
• Trained (PhD for Research Fellow) in Computer Science, Computer Engineering, Electrical Engineering, Artificial intelligence, or associated programs.
• Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, healthcare.
• Expert knowledge of Python, C++, Pytorch, Tensorflow, etc.
• Experience in the analysis of medical imaging dataset.
• Experience in medical software implementation is a plus.
• Good ability in communicating data science models to non-data science audience using simple language.
• Existing Publications in top-tier AI or computer vision journals/conferences, such as TMI, MIA, MICCAI, NeuIPS, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, etc, are preferred.
• Strong motivation in state-of-the-art research and publication.
