The DYNI team (University of Toulon, France), is looking for a master student to contribute to the development of an open-source tool for collaborative audio annotation aiming at creating bioacoustic datasets. These datasets will be used to improve our models of automatic bioacoustic scene analysis (e.g. detection and identification of bird species, marine mammals).
A demo of an early version of the application is available at http://18.104.22.168:8004/ (username: demo / password: thedemo).
Duration: 3-6 month
Job: Investigation of collaborative annotation methods (i.e. how to integrate, for a given audio file, annotations from different persons?). Creation of functional and technical specifications. Implementation (addition of features, enhancement of the API and the UI…).
- Understanding and application of programming best practices: version control (git), documentation, tests, coding conventions
Good to have:
- Knowledge of Python and Flask (used for the backend)
- Knowledge of design and User eXperience
- Examples of applications developed by the candidate will be highly appreciated (ex. Github repositories)
- An interest in bioacoustics and/or citizen science will be appreciated
Salary: 540 € / month