-
Materialise

Biomedical Research internship

Materialise
Belgium · Internship · Not Applicable

What you will do


  • Implement puzzle-solving methods to realign fragments into a patient-specific anatomical template
  • Use statistical shape models and/or AI techniques for reconstructing premorbid anatomy
  • Test, evaluate, and optimize algorithm performance using real clinical data
  • Document your progress and present results to the research team and stakeholders


Your profile


  • 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


Additional conditions:


  • The internship must be part of your degree program
  • Your university must provide an internship contract
  • The internship is unpaid


Location and type of contract


  • Leuven, Belgium
  • Internship
  • Hybrid
  • CV in English

Key Skills

Ranked by relevance

ai 3d machine learning deep learning pytorch python numpy
Login to Apply
Posted
Apr 03, 2026
Type
Internship
Level
Not Applicable
Location
Leuven

Industries

Software Development Printing Services

Categories

Research

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Winnow
Related

Machine Learning Engineer

2026-04-09

Full-time
Mid-Senior
Romania
IT Services
Research
View Job Details
Bending Spoons
Related

AI research engineer

2026-04-06

Full-time
Entry
Poland
Software Development
Engineering
View Job Details
SAP
Related

SAP AI Engineering Architect (f/m/d)

2026-04-10

Full-time
Not Applicable
Austria
Software Development
Customer Service