Quantitative MRI R&D Engineer (Mid / Senior)

Role overview Develop research and software for quantitative MRI, using physics-based scanner simulation to support reliable tissue parameter mapping. The work spans sequence design, image reconstruction, numerical methods, and production engineering, with opportunities to help shape technical direction as the platform evolves.

Responsibilities - Design and prototype MR sequences and simulation features for a physics-accurate MRI platform. - Develop and validate reconstruction and optimization methods for quantitative MRI, including motion-resolved workflows. - Turn research ideas into robust software modules suitable for production use. - Explore technical opportunities and contribute to architecture and roadmap decisions. - Work with physicists, engineers, and scientists in a distributed European team.

Requirements - Strong understanding of MRI physics and pulse-sequence design. - Practical experience with image reconstruction and optimization methods, such as parallel imaging, compressed sensing, model-based reconstruction, or deep learning approaches. - Hands-on experience using at least one clinical MRI system. - Proficiency in Python and good software engineering practices, including version control, testing, reproducibility, and clean code. - Curiosity, independence, strong English communication, and comfort collaborating across a distributed team.

Nice to have - Experience in free-breathing cardiac imaging and motion-resolved or non-Cartesian reconstruction workflows. - Familiarity with quantitative MRI methods, biophysical modeling, mapping pipelines, or simulation-based approaches. - Experience with numerical optimization, signal modeling, or physics-based simulation. - Familiarity with scientific computing or machine learning frameworks such as PyTorch or TensorFlow.

Benefits and work setup - Remote role, with Europe preferred. - The position is described as mid- to senior-level, with scope to grow into leadership responsibilities.