Simulation Expert (MRI systems)
Your Role
Developing and applying computational models, mainly in electromagnetics (e.g., RF, EMC) and selectively across thermal, structural, and CFD domains, to guide MRI hardware R&D decisions.
- Translating system‑and subsystem‑level requirements into appropriate mathematical and computational models with the right level of fidelity.
- Evaluating performance, safety, and reliability aspects through simulation and clearly communicating results and limitations.
- Performing concept, feasibility, and trade‑off studies to guide design choices and technology development.
- Ensuring model credibility, documentation, and traceability in line with internal standards and regulatory expectations.
- Supporting system‑level insight by integrating models across multiple physics and engineering domains.
- Planning and prioritizing modelling activities, estimating effort, and reporting progress to stakeholders.
- Collaborating closely with multidisciplinary teams to ensure modelling results are actionable and aligned with project needs.
- Staying up to date with advancements in modelling methods, simulation tools, and medical imaging technology.
- Mentoring junior engineers and contributing to the capability growth of the HW Modelling team.
Qualifications
- A Master’s degree or PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a related discipline.
- 5+ years of industry experience in relevant areas.
- Strong hands‑on experience with commercial simulation tools (e.g., Ansys, CST, Sim4Life, COMSOL, MATLAB Simscape/Simulink).
- Programming experience in MATLAB and/or Python for model development, automation, and analysis (C/C++ is a plus).
- Experience in medical technology, preferably MR R&D or a closely related domain.
- A solid foundation in mechatronics, applied mathematics, and physics, with the ability to understand, explain, and validate the underlying assumptions and limitations of simulation models.
- Demonstrated research mindset, such as publications, workflow improvements, or new modelling techniques.
Preferred Qualifications
- Proven ability to translate complex system‑level challenges into computational and mathematical models.
- Familiarity with AI‑or data‑enabled modelling approaches, including surrogate or reduced‑order models.
- Experience working in multidisciplinary, global R&D environments, engaging effectively with engineers, scientists, and stakeholders.
- A proactive, innovative mindset with the ability to work independently while contributing strongly to team objectives.
- Hands‑on experience with RF transmit/receive coils and birdcage resonators or other MRI components.
Work Arrangement
- Onsite roles require full‑time presence in the company’s facilities.
- Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
- This role is an office‑based role.
This role is an office‑based role.