Advanced MR Recon Domain Software Expert

Advanced MR Recon Domain Software Expert Job Description Job Overview: As an Advanced MR Recon Domain Software Expert in the MR Domain Software team, you will develop, integrate and optimise MR image-reconstruction software and algorithms that transform acquired MR raw data into reliable, clinically valuable images. You will drive image-quality performance across Signal-to-Noise Ratio (SNR), Contrast-to-Noise Ratio (CNR), spatial resolution, sharpness, noise behavior, artefact suppression, robustness and reconstruction speed.

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Responsibilities

• You will work closely with MR methods, scanning, hardware, clinical science and system engineering experts.
• You will connect MR acquisition behaviour with reconstruction performance, establish objective image-quality evidence, and deliver maintainable software capabilities for advanced MR systems.
• Own the software design, implementation, integration and maintenance of MR reconstruction algorithms and image-processing capabilities. -Develop and optimise reconstruction methods including Fourier-based reconstruction, parallel imaging, iterative reconstruction, compressed sensing, denoising, artefact correction and AI-based reconstruction where applicable. -Analyse the relationship between acquisition parameters, k-space data, RF-coil sensitivity, calibration data, system conditions and resulting image quality. --Define SNR, CNR, resolution, sharpness, noise, artefact and reconstruction-time targets; establish test methods, benchmarks, phantom studies and performance acceptance criteria. -Investigate complex image-quality issues from development, scanner verification, clinical evaluation or field use; perform root-cause analysis and implement effective solutions. -Develop reusable C++ software components, APIs, reconstruction workflows, configuration mechanisms and test frameworks; use Python and/or MATLAB for data analysis, automation and validation. -Ensure reconstruction software is performant, maintainable, testable and traceable, using sound software architecture, code review, CI/CD and version-control practices. -Collaborate with MR physicists, acquisition and hardware engineers, clinical scientists and system architects; communicate findings clearly and comply with applicable quality processes.

Requirements

• -- Bachelor’s, Master’s or PhD degree in Biomedical Engineering, Electrical Engineering, Medical Physics, Computer Science, Applied Mathematics, Physics or a related field.
• Substantial professional experience in MR image reconstruction, medical-imaging algorithms, MR physics or a closely related technical field.
• Strong understanding of MR signal formation, k-space, Fourier reconstruction, image encoding, coil sensitivity and acquisition-to-image-quality relationships. -Proficiency in modern C++ and Python; MATLAB experience for algorithm prototyping, data analysis, automation or validation is an advantage. -Strong knowledge of image-quality evaluation, including SNR, CNR, spatial resolution, sharpness, artefacts, image uniformity and noise characteristics. -Practical Windows development experience, including
• Git, building systems, code review, unit/integration testing, CI/CD, profiling and debugging of complex multi-component systems. -Ability to analyse complex technical problems, define robust validation strategies and communicate clearly in spoken and written English.
• Preferred experience -Expertise in parallel imaging (for example SENSE, GRAPPA (Generalized Autocalibration Partially Parallel Acquisitions) or related techniques), compressed sensing, iterative reconstruction, non-Cartesian reconstruction, motion or distortion correction, or AI/deep-learning-based MR reconstruction. -Experience with GPU/CUDA, high-performance computing, large-scale image-processing pipelines, numerical optimization or medical-device software development. -Familiarity with DICOM, MR raw-data formats, clinical image-quality assessment and regulated high-technology product development.
• The role provides broad technical exposure across MR acquisition, physics, software and clinical applications in a global MR R&D environment.

Preferred

• What you will gain You will contribute directly to advanced MR reconstruction technologies that support better diagnostic imaging and patient care.