Post-doctoral fellowship: Deep learning and bioacoustics.

A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. The African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work inthe area of deep learning and bioacoustics.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries.

Requirements:

• PhD in a relevant mathematical science (e.g. computer science, mathematics, …).

• Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.

• Clear evidence of completed deep learning projects in computer vision or audio tasks.

• Good mathematical and problem solving skills as the candidate will actively engage in this.

• A strong desire to apply machine learning to bioacoustics problems.

• Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).

• Be independent and driven for academic outcomes and have a desire to share knowledge and work in a collaborative and respectful manner.

• Very strong communication skills (English written, oral, and presentation).

Application deadline: 7 January 2024 AoE, two rounds of interviews conducted shortly thereafter.

Follow the below link for more information and application: