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Senior Computer Vision and Modelling Engineer in Manchester at Stryker Corporation

发布日期: 2/13/2019

职位快速浏览

  • 员工类型:
    Full-Time
  • 位置:
    Manchester
  • 职位类型:
  • 经验:
    Not Specified
  • 发布日期:
    2/13/2019
  • Job ID:
    R407222

职位描述

The Job's Mission

Imorphics is a Stryker company providing leading-edge 3D computer vision in medical technology applications from robotic surgery to clinical trials.  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.

Imorphics offers a fascinating opportunity for the right candidate.  The modelling 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, and to undertake powerful clinical trials

Key Activities & Accountabilities

  • Independently design and implement robust algorithms and software components to support statistical modelling and machine learning techniques in 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 multi-functional and multinational team.
  • Provide subject matter expertise to engineers and technicians within the organisation.

Education

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

Experience

  • Extensive experience in the development and delivery of computer vision software on large real world datasets.
  • Deep understanding of programming, preferably in C++.
  • Demonstrated ability to problem solve in a technically challenging area.
  • Demonstrated drive to deliver high quality results on time and in a professional manner.
  • Demonstrated ability to collaborate with and influence others, and to manage professional relationships.
  • Experience of the following is highly desirable
    • Experience of programming GPGPU.
    • Experience porting scientific software to GPU.
    • Computer vision and modern machine learning e.g. deep learning.
    • 3D medical imaging.
    • Human anatomy and medical technology.

Work From Home: No

Travel Percentage: Up to 25%

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