Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images
About the job
The Research Fellow position focuses on advanced signal processing and machine learning techniques for measuring vital signs from video images. This opportunity allows for significant contributions to cutting-edge research in biomedical engineering within a dynamic and collaborative environment. Monash University fosters an inclusive community where extraordinary ideas thrive.
You'll be responsible for
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Extracting features from biomedical signals
Conducting robust feature extraction from biomedical signals to ensure high accuracy in vital signs measurement.🧠
Developing AI models
Creating and training AI/machine learning models to analyze optical signals from video images.✅
Validating algorithms
Performing real-time validation of algorithms to ensure reliable physiological monitoring in real-world conditions.Key criteria
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Advanced signal processing expertise
Demonstrated experience in advanced signal processing techniques.View
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Machine learning and AI proficiency
Proven skills in developing and training AI/machine learning models.View
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Biomedical signal analysis experience
Experience in analyzing biomedical signals for vital signs measurement.View
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