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Computational Neuroscientist

Company: Sonera Magnetics, Inc.
Location: Berkeley
Posted on: February 14, 2021

Job Description:

Sonera is developing novel sensing technology for high-performance, non-invasive brain-computer interfaces, with the goal of connecting minds and machines. Our mission is to democratize access to the brain by capturing the power of massive machines in ubiquitous devices. We are building a team of technical experts and visionaries who are driven by the opportunity to make a transformative impact on the world.

Requirements

We are looking for a talented and driven Neuroscientist to lead our Brain-Computer Interface (BCI) development efforts - working with our hardware team to develop next-generation systems for non-invasive neural interfaces. Work will initially focus on collecting neuroimaging data using OPM- and SQUID-based MEG systems, analyzing collected data, and developing algorithms to enable BCI applications. As development milestones are reached, focus will shift to using custom internal hardware for BCI. The ideal candidate will have experience with both human subjects research and signal analysis, and will play a hands-on role in both collecting and analyzing neuroimaging data. This person should be comfortable with creative problem solving in a startup environment - working independently and taking charge of projects.

Responsibilities

Apply state-of-the-art methods for processing non-invasive neuroimaging data to implement Brain-Computer Interface applications

Work closely with hardware development team to optimize systems for neural data collection

Develop experimental and analytical designs, execute project plans, and document results

Collect, analyze, and manage complex neuroimaging datasets

Manage human subjects research studies and associated Institutional Review Board (IRB) approvals

Develop new algorithms as well as improve existing ones, with the goals of consistent performance and cross-subject capability

Conduct literature reviews and stay apprised of recent developments in neuroscience and neural imaging

Core Skills And Experience

B.S. in Medical Physics, Neuroscience, Engineering, Statistics, or a related field

Strong coding and data analysis skills (Python, MATLAB, C++, etc.)

Experience collecting and analyzing neural data

Experience building ML solutions for large scale time-series datasets.

Great presentation and writing skills

Preferred Qualifications

PhD in Computational Neuroscience, Signal Processing, Computer Science or a related field

Experience with collecting and analyzing electrical or magnetic neural signals (EEG, ECoG, MEG, Spikes, etc.)

Expertise in one or more of the following signal processing, multimodal sensing, sensor fusion, time series, time-frequency analysis, and dynamical systems

Knowledge of common ML frameworks (scikit-learn, pandas and deep learning toolboxes such as TensorFlow, PyTorch, Caffe, etc)

Benefits

Experience with software for analyzing neurophysiological data (MNE preferred)

Competitive salary and stock options, 401(k)

Health, vision, and dental coverage

Flexible time-off policy, paid parental leave

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). Any employment offer will be contingent on eligibility to receive controlled technology without need for an export license.

Keywords: Sonera Magnetics, Inc., Berkeley , Computational Neuroscientist, Other , Berkeley, California

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