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. Certain species have been placed on the IUCN Red List for several years, but 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 in the area of machine learning for ecology. The fellow will work as part of a collaborative team of local, national, and international researchers to address important issues in the area of machine learning for ecology.
This fellowship aims at investigating machine learning models for passive acoustic monitoring of calling species and will also explore object detection techniques for computer vision problems. The data will be audio, image, or video – classification or detection problems. The fellow will research state-of-the-art techniques in machine learning. The fellow with work closely with Dr. Emmanuel Dufourq who will be the host for this position. The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa, and will also work at Stellenbosch University in a collaborative manner.
Application deadline: 17th October 2021
For more information and to apply please click here.
Contact Dr. Emmanuel Dufourq (duf...@aims.ac.za) for details regarding this position.
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications. Only successful applicants will be contacted.