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MRI Physicist - Modelling & Optimisation (remote-ish)

Qruise

Saarbrücken

Remote

EUR 60.000 - 80.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A scientific machine learning company is seeking candidates to develop tools for calibrating and characterizing MRI hardware. You will engage in numerical modelling, optimization, and scientific programming while collaborating with experimental researchers, contributing to the advancement of quantum technologies.

Leistungen

30 days of paid vacation a year
Remote work by default
Choose your own work computer
Budget for home office equipment
Regular company-paid team-events

Qualifikationen

  • Strong background in magnetic resonance technologies such as MRI / NMR / EPR.
  • Experience in numerical modelling of magnetic resonance processes.
  • Experience with experimental systems or collaboration with research groups preferred.

Aufgaben

  • Develop powerful numerical simulation and inverse modelling tools.
  • Understand and translate between theoreticians, experimental scientists, and engineers.
  • Calibrate and characterize hardware for MRI scientists.

Kenntnisse

Scientific programming
Numerical modelling
Optimization of NMR/MRI pulse sequences

Ausbildung

PhD or MSc in magnetic resonance technologies

Jobbeschreibung

The development of new physics based hardware technologies is often a challenging task bottle-necked by the speed of iterating between different generations of design prototypes. We are gathering the brightest minds to solve this! Join us on our journey to become the world’s leading scientific machine learning company, building software that provides data driven control, calibration and characterisation tools for a broad range of physics-based R&D applications. We work remotely, and meet physically once a month for planning, brainstorming and shared meals.

Specifically for our magnetic resonance product, we are building an integrated software stack to model the devices, design the pulse sequences for high contrast imaging under RF control bandwidth and magnetic field constraints, and then to calibrate the devices in a closed-loop optimization. Our unique differentiable digital twin can also use advanced Machine Learning algorithms to update the model to account for discrepancies between the experiment and the model-predicted behavior.

Why we need you

As we build the tools to help scientists better calibrate & characterise their hardware, we need a team of scientists that both understand the pains of MRI scientists in the lab trying to design new pulse sequences and the advantage that software & automation services can bring to this process. We are developing powerful numerical simulation and inverse modelling tools and it is crucial that you feel comfortable in speaking (and translating between) the languages spoken by theoreticians, experimental scientists and engineers.

Your profile

Strong background in magnetic resonance technologies such as MRI / NMR / EPR (PhD or MSc with equivalent experience) is required

Experience in numerical modelling of magnetic resonance processes and / or optimization of NMR / MRI pulse sequences is required

Experience in working with experimental systems or collaborating closely with experimental research groups is preferred

You must enjoy scientific programming and building software systems, and be willing to learn necessary tools and techniques for developing industry grade software

You must already reside or be willing to relocate near EU time-zones (CET±1)

What we need for your application

Your CV is a good start. But, what we’d really like to see is that you have a proven track record of projects and work in the relevant field. So if you can send us a link to your GitHub, recent projects or real-world examples of what you have done so far, that is what really interests us. Before a possible interview, please think about the following :

  • What is something you accomplished which you are really proud of?
  • What technological developments are you excited about?
  • What are the things that you have taught yourself?
  • What is something you would like to learn or improve in the near future?
  • 30 days of paid vacation a year
  • Remote work by default
  • Choose your own work computer
  • Budget for home office equipment
  • Regular company-paid team-events

About us

Qruise creates algorithmic and ML tools to accelerate the development of quantum computers and other quantum technologies. We're an international and diverse team, with most of us located in Germany.

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