Postdoctoral Research Assistant in Machine Learning
Join the Visual Geometry Group at the University of Oxford to advance research in robotics, computer vision, and deep learning.
Best for:Best for researchers with a PhD in Machine Learning, Computer Vision, or Robotics and a strong publication record in top-tier conferences.
Overview
The Visual Geometry Group at the University of Oxford is seeking two full-time Postdoctoral Research Assistants to contribute to high-impact projects funded by Toyota Motor Europe and Amazon. Successful candidates will focus on either developing robust visuomotor policies for robotic agents in simulation or investigating robotic manipulation through vision-language-action models. These roles offer the opportunity to collaborate with the Oxford Robotics Institute and industry partners on cutting-edge deep learning methodologies. Applicants are expected to possess strong research credentials and a commitment to advancing the field of robotics and computer vision.
What you'll do
- Conduct high-quality research in deep learning, reinforcement learning, or computer vision as applied to robotics.
- Develop and evaluate robust visuomotor policies for robotic agents in simulated and real-world environments.
- Investigate 3D geometry and motion representations to enhance robotic manipulation capabilities.
- Collaborate effectively with researchers at the Oxford Robotics Institute and industry partners.
- Prepare research findings for publication in leading international conferences and journals.
- Contribute to the academic life and inclusive environment of the Visual Geometry Group.
Requirements
Degree required: PhD or DPhil in Machine Learning, Computer Vision, Robotics, or a related field (or near completion).
Language: English proficiency required.
Instruction: English
Publications: Strong publication record at leading international conferences.
- Strong publication record at leading international conferences in machine learning, computer vision, or robotics.
- Solid theoretical and practical knowledge of deep learning methodologies.
- Ability to conduct independent research and contribute to collaborative projects.
- Excellent communication skills for academic and industry collaboration.
- Must hold a PhD/DPhil or have submitted the thesis by the start date.
Funding & terms
How to apply
Deadline: 2026-11-16
Submit your application online via the university portal. Ensure you include a covering letter, a statement of research interests, a CV, and contact details for two referees.
- CV
- Cover letter
- Research statement
- 2 reference letters
Contact
João Henriques· Supervisor
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