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The neural engineer will be responsible for designing model-based software and devising a plan to ensure that this software is based on sound scientific evidence and incorporates electric field modeling. The engineer will also focus on developing a semi-automatic data pipeline that would offer the future clinician various configuration options. In addition, the neural engineer will work on seizure and epileptiform brain activity detection algorithms that are accurate and energy efficient. Finally, the neural engineer will participate in intellectual property development activities.
Job Responsibility:
Fully understand and, where possible, test existing modeling software
Define user requirements and specifications for model-based software
Ensure that all software code used from third parties is well documented and that Adraxe has the right to use the technology
Identify partners that can provide software code for items such as image segmentation, tissue assignment etc.
Develop a validation strategy for the software
Review scientific literature relevant to electrical field modeling software
Landscape EEG based seizure detection technology
Develop the capability to test different detection algorithms against annotated EEG data sets
Test and compare the effectiveness of various alternative algorithms as well as the power requirements to implement these algorithms in a medical device
Develop a system that is used to train various algorithms
Requirements:
PhD in Engineering or Neuroscience
Track record in electric field modeling of the human brain such as ROAST or SimNibs
Demonstrated understanding of the application of Machine Learning algorithms
Track record of academic collaborations
Background in physiologic signal capture and analysis