• Plan and execute cutting-edge applied research to advance neuromotor interface capabilities.

• Design experiments to collect neuromotor and interaction data and evaluate human and model performance.

• Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.

• Use quantitative research methods to define, iterate upon, and advance key areas of our research agenda.

• Set technical direction for a project of 2-3 researchers and engineers.

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• PhD in systems neuroscience, computational neuroscience, machine learning, biophysics, electrical engineering, computer science, statistics, or related fields.

• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

• Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem).

• Proficiency with quantitative methods (mathematics, statistics) and experience acquiring new technical knowledge and skills rapidly.

• 5+ years of experience working autonomously to design, execute, interpret, and present research studies.

• 2+ years of experience as technical lead for a project of 2-3 individuals.

• Experience in the analysis and modeling of high dimensional time series, such as neural signals, other physiological signals, audio recordings, robotic sensory signals, financial time series, video, or other sensor modalities.

• Experience with scientific communication tools (Jupyter, Matplotlib).

• Experience in software engineering in industry.

• Experience bringing machine learning-based products from research to production.

For Apply this job click here 

for more jobs 

• Factory worker LMIA jobs Canada
• Best city for hospitality jobs in Canada 2023