Master Thesis Machine Learning Sports Medicine (m/w/d) starting October 2024 for 6 months

Stryker GmbH

  • Publication date:

    14 June 2024
  • Workload:

    100%
  • Contract type:

    Unlimited employment
  • Place of work:

    Freiburg

Master Thesis Machine Learning Sports Medicine (m/w/d) starting October 2024 for 6 months

Our offer to you

  • You will apply machine learning approaches to medical images in order to automate image analyses of joint morphology.

  • You will further develop your programming skills in Python and learn from experienced software engineers in the process.

  • You are part of the international research and development team of Sports Medicine

  • Your work may contribute to (surgeon) validation and scientific publications.

This is what makes you stand out

  • You are studying computer science or software engineering or a comparable course of study and have an interest in machine learning and algorithm development in the field of Medtech.

  • You have prior experience in developing deep learning algorithms in Python using frameworks like Tensorflow and PyTorch.

  • Prior experience with computer vision libraries such as OpenCV, three-dimensional shapes/meshes and medical imaging would be an advantage.

  • Ideally, you have had exposure to coding guidelines/standards, software development life cycle and version control.

  • You work independently and due to your interest in advancing your software development skills and learning about the clinical application, you will operate successfully in our dynamic team.

  • Good written and spoken English enable you to communicate easily and confidently in our international environment and complete your profile.

Start: October 2024

Duration: 6 months

Location: Freiburg

Diversity is important to us. We welcome applications from people regardless of their ethnic, national or social origin, gender, disability, age or sexual identity.

We look forward to receiving your online application including all relevant documents (cover letter, CV, grade certificates). Please upload all documents together under “CV”.

Contact: 

In case you have further questions regarding the position, please feel free to directly reach out to Ida Ceytte via +49 761 4888292.


Contact

  • Stryker GmbH