Development and validation of human sensing algorithms using data from wearable systems in the context of agricultural work
Work description
Analyze collected data, as well as collect new data with wearable and mobile systems, and define a database for its storage. This data will be used to validate/improve existing signal processing and classification algorithms, as well as to develop new ones, for more comprehensive worker monitoring. Prepare presentations for analysis of results, participate in project events, and prepare scientific publications.
Academic Qualifications
Bachelor's degree in Electrical Engineering, Biomedical Engineering, Physics, or equivalent.
Minimum profile required
Extensive knowledge of signal physiological processing and geographic data related to human activity and movement. Extensive experience in Python programming and in the use of its various toolboxes, such as BioSppy and NumPy.
Preference factors
Previous work in physiological signal analysis and geographic data. Intention and availability to complete a master's thesis in a related field.
Application Period
Since 25 Dec 2025 to 09 Jan 2026
Centre
Biomedical Engineering Research