Constructor Labs
Bremen, Germany1 month ago
Work Format
Remote, Hybrid
English Level
C1 - Advanced
An email or a Telegram message to the recruiter
Direct Reports: None; supervision of students possible Working Model: Remote / hybrid. Regular time on-site in Bremen.
Build our capability in quantum sensing and magnetometry. The role covers NV-centre systems, optically pumped magnetometry and precision magnetic sensing, applying modelling and machine learning to improve characterisation and bring-up, and taking the results towards applied and commercial outcomes.
Model, calibrate and characterise NV-centre systems and magnetic-field sensors.
Develop digital twins of sensing platforms and validate them against measurement.
Apply machine learning to improve bring-up and characterisation time.
Success Metrics and KPIs: sensitivity and calibration-time improvements demonstrated on real systems.
Explore applied sensing in biomagnetism and medical and industrial diagnostics.
Work with Constructor's IP function where the work is patentable.
Assess and develop spin-off and licensing pathways within the Constructor ecosystem.
Success Metrics and KPIs: invention disclosures, applied use cases validated.
Publish, and collaborate with Constructor University faculty and external sensing groups.
Contribute to grant applications in quantum sensing.
Co-supervise MSc projects and contribute to teaching-lab design.
Success Metrics and KPIs: publications, collaborations, student projects supervised.
PhD in physics, with experience in NV centres, optically pumped magnetometry or precision magnetic sensing.
Pulse sequence development, spin physics, or zero-field NMR.
Hands-on experimental work as well as modelling.
Track record of publication.
Able to write the code you need.
Interest in applied and commercial outcomes alongside the research.
This is a capability we are building, not one you are joining.
Clear scientific communication.
PhD in physics or a closely related field.
Fluent English.
A chance to build a sensing capability rather than join one.
Research with a route to IP and commercial application.
Real breadth across modelling and experiment.
A purely academic postdoc.
A role confined to modelling.
A role without commercial orientation.
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