Research Fellow (Computer Vision/Machine Learning)
Core
Conduct individual research in computer vision, machine learning, physical AI, and spatial AI to build general-purpose physical simulators and spatial intelligent systems.
Role type
Research Fellow (Computer Vision/Machine Learning)
Builds
Innovative algorithms, data preparation pipelines, experimental evaluations, and software based on research outcomes.
Domain
Computer Vision, Machine Learning, Physical AI, Spatial AI, Robotics, VR/AR, Embodied AI
Deliverable
production ML models | research
Required skills
Deep learning, statistical learning, algorithm development, data processing, experimental evaluation, scientific data analysis, research proposal writing, project management
Preferred skills
None stated
Technologies
None explicitly listed
Responsibilities
Conduct individual research projects; author international peer-reviewed articles; engineer software and distribute it; co-organize workshops and challenges; co-supervise DPhil students and 4th year projects; manage academic research and administrative activities; adapt and develop scientific techniques and protocols; test hypotheses and analyze data; contribute ideas for new projects; develop research income ideas and proposals; advise on scientific protocols; collaborate with partner institutions and industry.
Seniority
Post-PhD Researcher
