Phd Candidate Ai & Digital Twins (m/w/x)

ZEISS Group

Fully remote
Surgical ai research
Computational assistance methods
Deep learning methods
ZEISS Group is seeking a PhD candidate to advance research in Surgical AI and digital twins within medical technology. The role involves developing algorithms for image-guided surgical interventions, collaborating with multidisciplinary teams, and contributing to real-world clinical applications

Job Summary

  • Conduct cutting-edge research in Surgical AI and Computational Assistance for medical applications, with a focus on image-guided interventions in ophthalmic surgery.
  • Design robust and interpretable algorithms that can be deployed in real-world clinical environments and perform in-depth statistical evaluation of your models on real clinical datasets.
  • A fully funded 2-year’s PhD position embedded in an industry research environment with strong links to clinical and surgical practice, offering excellent long-term career perspectives.

Matching Summary

Match Score: 85

ZEISS Group is seeking a PhD candidate to advance research in Surgical AI and digital twins within medical technology. The role involves developing algorithms for image-guided surgical interventions, collaborating with multidisciplinary teams, and contributing to real-world clinical applications.

Skills & Requirements

Must-have

  • Surgical AI research
  • Computational assistance methods
  • Deep learning methods
  • Computer vision methods
  • Python programming skills
  • PyTorch ML framework

Nice-to-have

  • Interdisciplinary team collaboration
  • Self-organized problem solving
  • Strong analytical thinking
  • Creativity for complex problems

Key Requirements

  • Master’s degree in relevant field
  • Experience in computer vision
  • Experience in medical image analysis
  • Experience in medical video analysis
  • Good English communication skills

Work Rights

Not specified

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