Computer Vision Researcher in Manchester at Stryker Corporation

Date Posted: 10/23/2019

Job Snapshot

Job Description

The Job's Mission

Stryker’s Manchester R&D team provides leading-edge 3D computer vision for surgical robotics, and other Stryker devices and services.

We are looking for an ambitious and self-motivated computer vision expert capable of driving forward technically demanding projects and having the flexibility and communication skills to operate effectively within a high calibre team.

Our team offers a fascinating opportunity for the right candidate.  The modelling and computer vision techniques which we utilise are at the forefront of what is possible within 3D medical imaging. Our technology allows us to provide detailed anatomical information for surgical procedure design and execution

Key Activities & Accountabilities

  • Independently design and implement robust systems and software components using machine learning and other computer vision techniques for uses including 3D segmentation, landmarking, reconstruction of missing anatomy, surgical planning, and disease classification.
  • Proactively ensure robust application of these techniques to anatomy and surgery specific systems with input from surgical and engineering team experts.
  • Proactively solve problems and conduct root cause analysis on these techniques.
  • Evaluation of these techniques on large datasets.
  • Effectively drive forward projects within a multifunctional and multinational team.
  • Provide subject matter expertise to engineers and technicians within the organisation.


  • Highly numerate undergraduate degree.
  • PhD in computer vision, or in another highly numerate discipline with industrial or post doctoral experience in computer vision.


  • Extensive experience in the development and validation of computer vision systems on large real-world datasets.
  • Demonstrated ability to problem solve in a technically challenging area.
  • Demonstrated drive to deliver high quality results to established timelines
  • Demonstrated ability to collaborate with and influence others.
  • Experience of the following is desirable
    • Thorough understanding of programming, particularly in C++
    • Convolutional neural networks
    • 3D medical Imaging.
    • Human anatomy and medical technology.

Work From Home: No

Travel Percentage: Up to 25%

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