Research Scientist - Neuroimaging

Facebook Reality Labs is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. We are looking for a Research Scientist with expertise in neuroimaging to join our BCI team in Menlo Park, CA. In this role, you will design experiments and analyze neuroimaging data to develop state of the art brain-computer interface (BCI) applications for use in virtual and augmented reality systems. Our researchers will have opportunities to collaborate with academic institutions and publish in peer-reviewed journals. Our projects take advantage of internal engineering resources (i.e., mechanical, electrical, optical, and software) to develop neural interface technologies not available commercially. We want people who work well across disciplines, and are excited to work in new technology areas.

RESPONSIBILITIES

  • Apply state of the art methods for processing non-invasive neuroimaging data to develop state of the art brain-computer interface (BCI) applications for use in virtual and augmented reality systems
  • Work closely with team members to develop experimental and analytical designs, carry out project plans, and document results for demonstrations and/or academic publications
  • Collect, analyze, and manage large and/or complex neuroimaging datasets
MINIMUM QUALIFICATIONS
  • PhD in neuroscience, biology, statistics, physics or related discipline
  • 4+ years experience in analyzing neuroimaging data, e.g. fMRI, diffuse optical tomography
  • 2+ years experience with a modern statistical programming language, e.g. Python, Julia, R
  • 2+ year experience with neuroimaging software tools, e.g. SPM, FreeSurfer, PyCortex
  • Demonstrated experience in design of human experiments
  • Demonstrated experience in applied signal processing
PREFERRED QUALIFICATIONS
  • Demonstrated experience applying machine learning to imaging data, e.g. multi-variate pattern analysis, hyperalignment, encoding and decoding models
  • Demonstrated experience in simulation and analysis of diffuse optical tomography applied to detection of functional brain activity
  • Industry experience in software engineering, including use of source control, unit testing, software containers, and continuous integration
  • Experience with hardware (e.g. DAQs, microcontrollers)
  • Experience with Bayesian modeling tools and methods


Back to top