Constructor Knowledge Labs

Applied CS, ML and AI research

MRI / NMR Physicist - Digital Twin

Physical SciencesConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A PhD in physics, medical physics, or a related field is required.
Experience developing MRI or NMR sequences and understanding the underlying physics is required.
Experience with simulation and modelling of imaging systems is required.
Scientific programming experience in Python or a comparable language is required.
Ability to work across physics, code, and application is required.
Interest in taking a research method towards a product is required.
Ability to serve as the specialist in the area within a broader quantum group is required.
Clear scientific communication is required.
Fluent English is required.

Responsibilities

Develop MRI and NMR sequence models and the associated simulation tooling.
Build digital twins of imaging systems and validate them against real measurements.
Apply optimal control and pulse optimisation to magnetic resonance problems.
Assess the route from research method to product, including any regulatory path.
Work with clinical and industrial partners on validation and use cases.
Identify where the digital-twin approach offers an advantage over existing tools.
Publish and collaborate with Constructor University faculty on imaging and reconstruction.
Contribute to grant applications in medical imaging and quantum sensing.
Supervise students working on reconstruction and simulation.

Location: Remote within Europe, with regular presence in Bremen

Direct Reports: None; supervision of students possible

Working Model: Remote / hybrid. Regular time on-site in Bremen.

Mission

Build digital-twin and simulation capability for magnetic resonance. The role covers MRI and NMR sequence modelling, simulation of imaging systems validated against measurement, and optimal control applied to pulse design, with a path from research method towards a product and a clinical or industrial application.

Responsibilities

Pillar 1 Modelling and Simulation

Develop MRI and NMR sequence models and the simulation tooling around them.
Build digital twins of imaging systems and validate them against real measurement.
Apply optimal control and pulse optimisation to magnetic resonance problems.

Success Metrics and KPIs: simulation accuracy against measurement, sequences delivered.

Pillar 2 Towards Application

Assess the route from research method to product, including any regulatory path.
Work with clinical and industrial partners on validation and use cases.
Identify where the digital-twin approach gives a real advantage over existing tools.

Success Metrics and KPIs: partner engagements, validated use cases, product requirements defined.

Pillar 3 Research and Collaboration

Publish, and collaborate with Constructor University faculty on imaging and reconstruction.
Contribute to grant applications in medical imaging and quantum sensing.
Supervise students working on reconstruction and simulation.

Success Metrics and KPIs: publications, collaborations, grant applications supported.

Requirements

Experience

PhD in physics, medical physics or a related field.
MRI or NMR sequence development and the physics underneath it.
Simulation and modelling of imaging systems.
Scientific programming in Python or comparable.

Skills & Competencies

Able to move between the physics, the code and the application.
Interest in taking a research method towards a product.
Comfortable as the specialist in your area within a broader quantum group.
Clear scientific communication.

Education & Languages

PhD in physics, medical physics or a closely related field.
Fluent English.

What This Role Is (and Is Not)

This role IS

Ownership of a distinct technical area inside a quantum group.
Research with a credible route to application.
University collaboration and supervision built in.

This role is NOT

A clinical role.
A purely academic postdoc.
A role confined to one imaging modality.

About the Company

Constructor Knowledge Labs

Applied CS, ML and AI research

Constructor Knowledge Labs focuses on applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. It works through collaborative projects and joint PhD programs in partnership with Constructor University, applying advanced methodologies to interdisciplinary fields like Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences from its base in Bremen, Germany. The center conducts research rather than selling a single product, using its expertise to tackle real-world problems by developing models, systems, and methods that can cross domain boundaries. It differentiates itself through a close university partnership, an emphasis on practical, applied research, and a multi-disciplinary approach spanning tech and science domains, aiming to produce tangible innovations. The goal is to make a meaningful impact by solving real-world challenges through applied research and technological advancement.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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