Smart medical devices (signal processing and programming).
Work description
Research and development of algorithms for analyzing physiological and biomechanical signals acquired by devices with integrated sensors, which will perform electrocardiography, electromyography and movement measurements, among others, during everyday activities. The aim is to identify characteristics and recognize personalized patterns, through artificial intelligence methods, to classify and evaluate different pathologies objectively for early detection or follow-up monitoring. Collaboration in the research, development and innovation project, in the healthcare sector, to create smart devices with biometric, physiological and movement sensing. Collaborate with project partners in signal collection and database organization. Collaborate in the writing of scientific articles, patent proposals and work reports.
Academic Qualifications
BSc in Biomedical Eng. or related areas. MSc student in Biomedical Eng. or related areas.
Minimum profile required
Solid knowledge of programming and signal processing, based on Matlab or Python.
Preference factors
Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn).
Application Period
Since 28 Aug 2025 to 10 Sep 2025
Centre
Biomedical Engineering Research