Published: 08 Feb 2023 1,428 views
The AIMS South Africa, the National Research Foundation (NRF) and the South African Radio Astronomy Observatory (SARAO) are looking to fund one Master’s student to work in the area of machine learning and bioacoustics. The student will share office space with a collaborative and energetic team of researchers in the beautiful city of Muizenberg, South Africa at AIMS.
The project will use audio soundscape data recorded in China which contains vocalisations of the world’s rarest primate, the Hainan gibbon. The student will investigate how advances in deep learning can be applied to bioacoustics problems, in particular, how can the sounds of animals be automatically detected. Using unsupervised and supervised learning algorithms, the candidate will explore auto-encoders, transformers and cluster algorithms to automatically identify/classify sound categories. The methods developed would support ecologists by providing them with easy-to-handle tools based on deep learning to facilitate their data processing. The student may also record audio data in Cape Town and use audio recordings from other locations to validate their algorithms.
Application Deadline | February 20, 2023 |
Country to study | South Africa |
Type | Masters |
Course to study | View courses |
Sponsor | African Institute for Mathematical Sciences (AIMS) |
Gender | Men and Women |
Candidates must be South African OR a national from one of the eight (8) Square Kilometre Array (SKA) African partner countries (Botswana, Ghana, Kenya, Madagascar, Mauritius, Mozambique, Namibia, Zambia) holding a study permit/ permanent residency in South Africa. Women are strongly encouraged to apply.
Shortlisted candidates will be contacted for an online interview.
Applications must include a
Complete CV,
Proof of bachelor completion,
A covering letter detailing the candidate’s experience in programming and machine learning, availability to start, and interest in the project.
Send your application as a single PDF file to [email protected] on or before the deadline.
For more details, visit AIMS website.