fNIRS Research Scientist
Culver City, CA /
Engineering - Hardware /
Permanent | Full-time
Kernel is building world leading, non-invasive brain interface technology.
We are seeking an experienced scientist to develop new capabilities around our Kernel Flow platform. A successful candidate will be an experienced user of fNIRS devices and will regularly work to push the limits of our system capabilities with regard to brain imaging. This person will work closely with product engineers to refine and enhance our product.
Neuroscience is the new rocket science.
- Collect, curate and analyze large neuroimaging datasets
- Collaborate with a diverse team of neuroscientists, engineers, and physicists in order to develop and transfer designed technologies to product groups
- Ph.D. in Biomedical Engineering, Medical Physics, Neuroscience, Statistics, or a related field
- Strong coding and data analysis skills (Python, MATLAB, C++, etc.)
- Experience collecting, analyzing, and publishing results in human fNIRS studies
- Experience with data cleaning methods for optical imaging (artifact detection, correction, etc)
- Experience with advanced human optical imaging methods: time domain fNIRS, DCS, Frequency Domain
- Experience with physiological sensors and/or modeling
- Modeling optical properties in sensor and source space
- Forward and inverse modeling (e.g., diffusion approximation, Monte Carlo simulations, adjoint method, regularization, optimization, etc.)
- Industry experience dealing with large datasets and deploying real-time algorithms at scale
This position will require access to information protected under U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). Please note that any offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.