Research Scientist, Ultrasound Imaging

nudge

$120K — $150K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or postdoc in physics, bioengineering, medical imaging, or similar engineering discipline
  • Expertise in ultrasound physics and metrology
  • Proficient in full-waveform inversion and functional ultrasound imaging
  • Preferred experience with machine learning
  • History of exceptional technical contribution
  • High integrity and professional judgement

Responsibilities

  • Develop algorithms for structural and functional ultrasound-based brain imaging
  • Contribute to custom hardware design optimized for imaging
  • Validate ultrasound imaging methods with custom hardware in physical models
  • Conduct in vivo imaging in both rodents and humans
  • Develop aberration correction techniques informed by ultrasound imaging

Benefits

  • Collaborative and innovative research environment
  • Opportunity to contribute to cutting-edge imaging technology
  • Mentorship and career development support at all levels
  • Access to state-of-the-art facilities and resources
Full Job Description
About the role

As a research scientist focused on ultrasound imaging at Nudge, you will:
  • Develop algorithms for structural and functional ultrasound-based imaging of the brain
  • Contribute to the design of custom hardware optimized for imaging
  • Perform validation of in-silico ultrasound imaging methods with custom hardware in physical models and in vivo in both rodents and humans
  • Develop aberration correction techniques informed by ultrasound-based imaging


About you

We are looking for research scientists of all levels, regardless of your career level, you should have:
  • PhD or postdoc in physics, bioengineering, medical imaging, or similar engineering discipline
  • Expertise in ultrasound physics and metrology
  • Exceptional proficiency in full-waveform inversion imaging, functional transcranial doppler imaging, or functional ultrasound imaging
  • Machine learning experience is preferred
  • Demonstrated history of exceptional technical contribution
  • High integrity and strong professional judgement

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