Lead Research Scientist, Neural Interfaces
il y a 4 semaines
What you'll do
- Lead research efforts to develop state-of-the-art closed-loop algorithms for control for Brain Computer Interface (BCI) systems
- Design and drive execution on a multi-year research agenda
- Perform hands-on real-time and offline analysis of electrophysiological data obtained from non-invasive brain recordings
- Make an impact as a part of a multi-disciplinary research team building next-generation brain-computer interfaces for Augmented Reality
- Develop new experimental protocols for exploring capabilities enabled by brain-computer interfaces
- Share your expertise with team members and other stakeholders to drive BCI hardware and ML development
- Comprehensive expertise in systems neuroscience with a focus on brain rhythms, neural features extraction and signal interpretation
- Strong knowledge of statistics and machine learning concepts
- Demonstrated ability to define, lead and execute challenging research projects
- Experience in analyzing complex data, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
- Strong computer science fundamentals, problem solving skills, programming (Python)
- Proven ability to lead interns, PhD students, or junior researchers and engineers
- Proven ability to impact a product with cutting edge research technology
- PhD in computational neuroscience, systems neuroscience, machine learning, physics, computer science, electrical engineering, or related fields
- 7+ years of experience in performing Brain-Computer Interface research including experimental design, execution and interpretation
- Demonstrated ability to perform independent research
- Experience with applying advanced statistics and machine learning methods to physiological time series (MEG or EEG preferred)
- Experience in signal processing and familiarity with real-time signals
- Excellent communication skills and fluency in English
- Significant industry experience in a relevant role
- Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. Numpy/SciPy ecosystem) and machine learning (e.g. Scikit-learn, PyTorch, TensorFlow)
- Track record of publications in peer-reviewed research venues
- Conversation-level French is a plus
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