The central focus of the position is to identify behavioural or acoustic patterns that signal affective states in animals, thereby strengthening our understanding of how husbandry practices influence welfare. This area holds substantial and largely unexplored innovation potential, particularly in linking continuous behavioural monitoring with practical levers to enhance welfare on farms, e.g. application of digital welfare monitoring tools.
The successful candidate will advance digital and sensor‑based monitoring technologies by identifying behavioural patterns that indicate emerging welfare issues, evaluating and validating existing and emerging tools. A further priority is developing intervention strategies and decision‑support approaches that enable effective follow‑up on sensor‑generated alerts and support farmers in improving welfare outcomes.
The overarching aim is to ensure that technological tools contribute meaningfully to better animal welfare and ensure their responsible use in commercial livestock systems to strengthen confidence in welfare monitoring on farms.
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