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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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AI-Assisted Fracture Reduction Internship

Materialise NV
Found 1 month ago
Location
Leuven, Belgium
Duration (Months)
4 Months
Time
Not disclosed
Work Mode
Hybrid
Salary
unpaid
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • Numpy
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • 3D geometry processing
  • statistical shape modeling
  • machine learning
  • 3D reconstruction
  • object matching
  • pattern recognition

Soft Skills

  • puzzle-solving
  • problem-solving

Job Description

In this project, you will tackle challenging fracture cases, which often contain numerous bone fragments of varying sizes. Your mission will be to design and implement smart algorithms to identify fragments and solve the reduction puzzle. Solutions can be guided by patient-specific templates of the premorbid anatomy — reconstructed using statistical shape models for the relevant anatomy or advanced AI-based techniques, depending on your skills and interests. This is a unique opportunity to contribute directly to innovation in surgical planning tools that can improve patient outcomes in trauma cases.

Requirements

  • MSc or PhD in computer science, AI, data science, mathematics, statistics, physics, biomedical engineering, or another equivalent technical field
  • Experience with Python programming (including libraries such as Numpy, Scikit-learn, and deep learning frameworks like PyTorch or TensorFlow)
  • Background in 3D geometry processing
  • Understanding of statistical shape modeling or machine learning techniques for shape reconstruction is a strong plus
  • Experience with algorithms for 3D reconstruction, object matching, or pattern recognition
  • Working proficiency in English
  • The internship must be part of your degree program
  • Your university must provide an internship contract

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering

Languages

  • English

Nice to Haves

  • statistical shape modeling
  • machine learning techniques for shape reconstruction
▶Apply Now

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