Applications are currently being accepted for the Computer Vision for Ecology in South Africa 2027. Interested applicants are encouraged to click here to learn more about this opportunity and apply for it.
About Computer Vision for Ecology in South Africa
Computer Vision for Ecology in South Africa (CV4E-SA) is being organised in collaboration with the team behind Computer Vision Methods for Ecology (CV4E), an initiative that brings together ecologists and computer vision experts to help researchers use modern computational techniques in ecological studies.
The original CV4E programme provides training in analysing large image, video and audio datasets using computer vision and AI methods. These tools can help researchers process ecological information more efficiently, identify patterns in complex datasets and support the monitoring of species and ecosystems.
The South African edition will adapt this training to the needs and research realities of scientists working in Africa. By offering practical, hands-on learning, the workshop aims to strengthen participants’ capacity to apply emerging technologies to ecological research and conservation challenges.
Benefits of Computer Vision for Ecology in South Africa
- Hands-on training in AI and computer vision for ecological research, wildlife monitoring, and conservation.
- Learning how to analyze large image, video, and audio datasets using modern AI methods.
- Developing practical skills to process ecological data more efficiently and identify patterns that may be difficult to detect manually.
- Exposure to methods that support species monitoring, biodiversity assessment, and ecosystem conservation.
- Interaction with both ecological researchers and computer vision experts, providing valuable networking and collaboration opportunities.
- Training adapted to the African research context, making the techniques more relevant to local conservation challenges.
- Participation at AIMS South Africa, a leading center for advanced scientific training and research.
Computer Vision for Ecology in South Africa Requirements
The application form is open to individuals such as:
- Master's students
- PhD students
- Postdoctoral researchers
- Early-career faculty/lecturers
- Researchers
- Conservation practitioners
- Government/public-sector professionals
- Other relevant professionals
Eligibility Applicants must confirm at least one of the following:
- They are South African citizens, or
- They are currently based in South Africa and hold a valid visa permitting participation in the workshop.
Application Date and Process
- Click on the link to the application website to apply.
Application Deadline
13 November, 2026
Opportunity Application
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Computer Vision for Ecology in South Africa
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