AI-Assisted Fracture Reduction Internship

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