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Research Opportunities

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, Electrical Engineering, Mechanical Engineering, Civil Engineering, or related field.

Minimum profile required

Msc grade greater than or equal to 16 out of 20. Experience in Python. Experience in deep learning.

Preference factors

Experience in publishing scientific articles. Experience in physics-informed neural networks.

Application Period

Since 26 Mar 2026 to 09 Apr 2026

Centre

Biomedical Engineering Research

Scientific Advisor

Francesco Renna