Postdoc: Computer Vision for Sports Injury Prevention

University Of Oxford; Oxford; On-site; GBP 34,000 - 45,000; Full time

Job summary

The Podium Institute for Sports Medicine and Technology at the University of Oxford is seeking a highly motivated Postdoctoral Researcher to join an interdisciplinary team working at the intersection of computer vision, AI and sports medicine.

You will lead research on 3D reconstruction of athletes from monocular, multi-view and broadcast video, collaborating with the Visual Geometry Group and engineering disciplines to develop injury prevention technologies.

Qualifications

• PhD/ DPhil in CV/ML/Engineering or related field is required or near completion.
• Strong programming in Python with experience using PyTorch or TensorFlow.
• Experience developing and evaluating ML/computer vision models on real-world image or video datasets, including sports footage.

Responsibilities

• Advance 3D reconstruction of athletes from monocular and multi-view video.
• Develop, implement and evaluate ML/vision models on real-world sports footage.
• Collaborate with the Podium Institute, VGG and other departments to validate technologies for injury prevention and safety.

Skills

Python

PyTorch

TensorFlow

Computer Vision

Machine Learning

Education

PhD / DPhil in a relevant field

Job description

The Podium Institute for Sports Medicine and Technology at the University of Oxford is seeking a highly motivated Postdoctoral Researcher to join an interdisciplinary team working at the intersection of computer vision, AI and sports medicine.

You will lead research on 3D reconstruction of athletes from monocular, multi-view and broadcast video, collaborating with the Visual Geometry Group and engineering disciplines to develop injury prevention technologies.