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Research Associate, AI for Biomedicine LKCMedicine

1 week ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time
Job Title: Research Associate

The MVAIT lab at Nanyang Technological University conducts high-quality research on AI for medicine, focusing on the development of AI and software tools for medical data analysis, including omics, cell, and medical imaging data. The aim is to enhance clinical efficiency and introduce affordable biomedical technology to society.

Main Responsibilities:
  • Design and implement AI algorithms for analyzing medical datasets, such as MR, CT, X-ray, and microscopy data.
  • Conduct research on high-precision medical analysis and data interpretation.
  • Develop, test, and refine AI tools for various medical domains, ensuring tool efficiency in real-world settings.
  • Design dashboards or visualization tools incorporating implemented AI algorithms, utilizing VR/AR equipment and 3D visualization to enhance clinician understanding and student training.
  • Collaborate with external researchers and interdisciplinary teams to ensure 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 AI model and medical procedure data outcomes to provide critical insights and suggestions for improvements.
  • Stay aligned with the latest advancements in medical imaging, image processing, and robotics to maintain forefront research.
  • Publish articles in high-quality journals to recognize and share research with the broader scientific community.
  • Participate in drafting research projects to secure funding and contribute to lab strategic research direction.
  • Ensure research activities adhere to ethical guidelines and patient data privacy regulations.
Requirements:
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or related programs.
  • Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, and healthcare.
  • Expert knowledge of Python, C++, PyTorch, TensorFlow, etc.
  • Experience analyzing medical imaging datasets.
  • Medical software implementation experience is a plus.
  • Ability to communicate data science models to non-data science audiences using simple language.
  • Existing publications in top-tier AI or computer vision journals/conferences are preferred.
  • Strong motivation for state-of-the-art research and publication.