This project aims at the development of a health and welfare monitor for pigs based on automatic detection of visual-auditive welfare related behaviour parameters. Vision and sound algorithms shall be used and further developed to calculate a limited number of characteristic parameters, such as animal position and movement, as well as sound intensity, duration and location. The dynamic variation of these parameters shall be related to specific behaviours, such as eating, drinking, resting, locomotion, social behaviour and sickness. The project includes also the detection and removal of background noise events in the recorded signals and aims at using information on the actual acoustic environment to improve the identification and detection accuracy.
The candidate must have a master’s or equivalent degree in (bio, agricultural-) engineering (electrical, computer, civil, etc.), physics, mathematics or other relevant field. The candidate should be willing to obtain a PhD degree in the field of bio-engineering. Reporting the project results in international peer reviewed journals is a major task. The candidate must be able to speak and write English. Working knowledge of MATLAB, experiences in sound analysis and/ or mathematical modelling is requested.