Postdoc / Research Fellow / PhD candidate (Acoustic Heart Failure Monitoring: Deep Learning)
TUM CREATE LIMITED
Singapore, Singapore
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Deep learning signal analysis expertise
Audio data processing experience
Python programming proficiency
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TUM CREATE is seeking a motivated researcher for the HEARTwise project, focusing on developing AI algorithms for audio classification related to heart and lung sounds in heart failure patients. The position requires expertise in deep learning, audio analysis, and collaboration in an interdisciplinary environment, with a fixed-term contract until March 2029.
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Job Summary
The role involves leading the development of artificial intelligence algorithms for classifying heart and lung sounds within the HEARTwise project.
Candidates will collaborate with a multidisciplinary team including cardiologists, engineers, and industry partners to validate technology in clinical studies.
This is a fixed-term research position offering engagement with a world-class international team addressing interdisciplinary challenges in heart failure management.
Matching Summary
Match Score: 75
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TUM CREATE is seeking a motivated researcher for the HEARTwise project, focusing on developing AI algorithms for audio classification related to heart and lung sounds in heart failure patients. The position requires expertise in deep learning, audio analysis, and collaboration in an interdisciplinary environment, with a fixed-term contract until March 2029.
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Skills & Requirements
Must-have
Deep learning signal analysis expertise
Audio data processing experience
Python programming proficiency
Nice-to-have
C/C++ programming skills
Database interfacing experience
Interdisciplinary acoustics background
Key Requirements
PhD degree in electrical engineering or related field