PhD Scholarships: Machine Vision
Core
Undertake fundamental research in visual understanding and multimodal machine learning to advance deep visual understanding of natural objects and environments.
Role type
PhD Research Scholar (Machine Vision)
Builds
Novel deep learning methods for representation learning, vision-language reasoning, fine-grained visual categorization, and trustworthy AI systems.
Domain
Computer Vision, Machine Learning, Artificial Intelligence
Deliverable
research
Required skills
deep learning, visual recognition, multimodal AI, pattern recognition, data-driven modelling, mathematical foundation
Preferred skills
publication record in top tier venues (CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI), experience in smart farming or applied AI
Technologies
deep learning frameworks, multimodal learning architectures
Responsibilities
Develop novel deep learning methods, publish high-quality research papers in leading conferences and journals, collaborate with research fellows and industry partners
Seniority
PhD Candidate (Researcher)
