Master Thesis AI Based Prediction for Anatomical Motion Modelling on Unity
On-site
Core
Develop an AI-based prediction algorithm to forecast anatomical motion for real-time treatment adaptation in MR-Linac radiotherapy.
Role type
Master's thesis researcher (AI/Medical Physics)
Builds
Prototype software, reproducible processing pipelines, and a curated motion dataset for the Elekta Unity platform.
Domain
Medical physics / Radiation oncology / AI
Deliverable
production ML models
Required skills
Python programming, quantitative analysis, AI/deep learning methods, medical image processing
Preferred skills
Radiotherapy knowledge, MR-Linac familiarity, recurrent neural networks
Responsibilities
Curate a dataset of target centroid motion, establish a benchmark using existing algorithms, choose and train an AI model for motion prediction, compare performance against existing methods.
Seniority
Master's student, independent research