Biomedical Engineering
Work description
Investigate and propose new multimodal deep learning algorithms to combine information on cardiovascular activity obtained from heart sound signals, electrocardiogram, and photoplethysmography. Investigate the inclusion of prior knowledge about the application domain in the design of deep learning algorithms for cardiovascular disease detection.
Academic Qualifications
Master's degree in Biomedical Engineering, Computer Engineering, Electrical Engineering, Data Science, Data Analysis, Statistics, or related field.
Minimum profile required
MSc grade greater than or equal to 16 out of 20; Experience in python.
Preference factors
Experience in publishing scientific articles; experience in deep learning; experience in processing and analyzing biomedical data.
Application Period
Since 01 Sep 2025 to 12 Sep 2025
Centre
Biomedical Engineering Research