Many studies have relied on obtaining the dominance hierarchies of groups by recording social interactions, such as fight, submission displays or displacement. This is typically either observed directly or recorded on video, and either way requires a large amount of effort to obtain sufficient data. Therefore, there is much to be gained from using individual tracking techniques such as RFID (radio frequency identification) that can monitor the presence of certain individuals at a specific time and locations.
We have such data available for great tits in aviaries using feeders equipped with an RFID antenna, which were simultaneously video recorded. We would like to produce a code that uses this RFID data to extract interactions at the feeder to generate dominance hierarchies. This code can then be validated with the video data that is also available.
We are looking for a highly motivated and independent master student (thesis or internship) interested in programming, movement ecology and behavioural ecology to work on the code to extract dominance hierarchies from RFID feeder data and to analyse video data for validation of the code output. The student will then be able to work on various research question(s) depending on their own interests (for example, but not exclusively, personality, cognition and/or circadian rhythms).
The total duration can be adjusted to the students’ needs, preferably starting before October 2021.