Master Thesis Scatter Estimation in Computed Tomography (AI)

Location: Forskaren, Hagaplan 4, Stockholm, Sweden. Start date: Fall 2026 or early spring 2027.

Company

hirify.global develops precision radiation medicine and radiotherapy products, including cone beam computed tomography imaging and patient-positioning solutions used in cancer care.

What you will do

• Investigate open questions related to Rainbow, hirify.global’s physics-based algorithm for scatter estimation in cone beam computed tomography.
• Evaluate Rainbow’s performance by selecting scan subjects, defining metrics, comparing results with state-of-the-art AI models, and assessing suitable applications.
• Improve the physical model of scattering and detector physics through theory and experimental work in the laboratory.
• Optimize the implementation for faster clinical use, including efficient GPU implementation.
• Investigate mathematical improvements such as Monte Carlo variance reduction and methods for accelerating numerical-solver convergence.
• Prepare a report and, where applicable, contribute code to Rainbow or scripts for running benchmarks.

Requirements

• Master’s education in Physics or Mathematics is preferred.
• Python programming skills.
• Good understanding of statistics and numerical methods.

Nice to have

• X-ray laboratory work.
• Rust programming.
• GPU computing.
• Monte Carlo simulations.

Culture & Benefits

• Work on medical technology supporting cancer radiotherapy and imaging.
• Conduct potential experimental work in hirify.global’s laboratories.
• Work under the supervision of Petter Säterskog.