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Senior Medical Imaging Scientist

2 weeks ago

Singapore beBeeMedicalImaging Full time
Job Title:

Postdoctoral Researcher Position


We are seeking a highly motivated and experienced Postdoctoral Researcher to join our interdisciplinary research group. The successful candidate will be part of a dynamic team working on cutting-edge projects in medical imaging and AI.


Key Responsibilities:
  • Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data, including image segmentation, anomaly detection, and extraction of biomarkers for disease classification.
  • Apply foundation models to analyze medical imaging data, develop probabilistic deep learning models to capture temporal patterns in chronic disease progression and treatment response, and ensure model fairness and robustness for reliable clinical use.
  • Develop AI-assisted robotic guidance tools for precise and automated ultrasound acquisition, interface AI algorithms with robotic systems to adaptively control probe positioning and ultrasound imaging parameters.
  • Design and test intuitive human-machine interfaces to support non-specialist users in operating wearable ultrasound devices, conduct quantitative and qualitative evaluations of AI models in simulated and real-world clinical scenarios, and integrate imaging, diagnostic reporting, and clinical data into a cohesive platform for intelligent diagnosis decision support.
  • Perform other duties as assigned by the supervisor.

Requirements:
  • Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis.
  • Demonstrated research experience in 2D/3D medical imaging using deep learning methods, with a strong track record of publications in top-tier AI and medical imaging conferences/journals.
  • Solid mathematical background, excellent programming skills, and proficiency in machine learning frameworks such as Python, C/C++, TensorFlow, and PyTorch.
  • Extensive experience in applying advanced machine learning and deep learning techniques to medical image analysis tasks, including but not limited to image segmentation, classification, registration, and anomaly detection.
  • Experience in software system engineering and architecture design for AI-based medical applications, ability to develop immersive, user-friendly interfaces tailored for non-professional healthcare users.
  • Excellent communication and teamwork skills.

To apply, please send your full CV/resume, cover letter, and list of three references (to include reference names and contact information).