Our goal is to use machine learning methods to identify patterns in large bat call data sets. The bat calls are recorded by a network of sensors that are set up in forests and near rivers. They record sounds at the frequencies of bat calls, producing typically noisy data. The first task of the project is to automatically identify bat calls in the data, and then find patterns in the identified calls, such as specisific behaviour and relate it to environmental factors such as pollution.

(image credit: Aotearoa Science Agency)


Duration and Type

  • Preferable 2 semesters, but can be also done in 1 semester
  • Honours project, other postgraduate project (MSc, MProfStuds, …)


  • Basic maths, CS, and machine learning skills
  • Programming in Java or Python

Supervisor and contact

  • Joerg Wicker and Yun Sing Koh
  • Send CV and transcript by mail to Joerg Wicker