Advance your career in AI with a PhD at PaquetLab, focused on computer vision for animal health and welfare. This position offers a unique chance to develop cutting-edge technologies within real-world agricultural contexts. The doctoral project involves designing robust algorithms for early disease detection in animals, behavior tracking, and body-condition assessments through videos captured in actual field conditions.

Candidates should have a Master’s in computer science or related fields, along with deep learning expertise in PyTorch or TensorFlow for practical AI applications in agriculture. Your work will directly contribute to improving animal welfare and production sustainability. Key Responsibilities:

- Develop algorithms for health issue detection




- Implement tracking methodologies for animals
- Conduct behavioral analysis using computer vision
- Perform 3D reconstruction under complex conditions
- Create robust models transferring to field applications Requirements:
- Master's in computer science or related fields
- Robust skills in deep learning (PyTorch/TensorFlow)
- Experience in computer vision techniques
- Autonomy and creativity in project work
- Interest in AI applications in agriculture Lead impactful advancements in applied computer vision through this PhD role at PaquetLab.

📌 PhD in Computer Vision at PaquetLab (Quebec City)
🏢 Université Laval
📍 Quebec City