Research Scientist
Are you a student of science with an incessant passion for media? Have you ever been emotionally moved by a movie or video-game?_ Have you ever wondered about the neurons popping in your brain that created that emotional response?_
At EmSense we are working to understand those responses so media producers have the opportunity to connect with their audience like never before. EmSense uses physiological based metrics (EEG, EMG, PPG, eye tracking, heart etc…) to provide an objective physiological model of how consumers respond to media; we are always looking for new ideas and techniques to create the next level of understanding. Right now, we are looking for a talented, independent individual to join our research team in order to develop new analysis techniques based on our in-house testing and research literature.
Unlike other market research upstarts, EmSense is a group of young, driven entrepreneurs.We are located in the tech-centric South Park region of SOMA in San Francisco.
Key Responsibilities
- Contribute to neuroscience and physiology research team at Emsense, focusing on foundation in scientific literature, signal processing techniques, data analysis tools and validation studies which link the psychological concepts with physiological responses.
- Investigate new analysis and processing ideas based on both client need and neuroscience/biosensor community research.
- Develop, implement and test signal processing techniques to ensure data robustness and validity of results during bio-signal acquisition and aggregation.
Requirements
- Bachelors of Masters in Biomedical/Bioelectrical Engineering or Neuroscience with experience in Signal Processing and physiology.
- Bio-signal analysis experience
- Data processing with high level programming language -- Matlab or Stata
- C++ or Java experience
- Experience in project planning / research planning / idea generation.
- Critical thinking, ability to question the status quo.
Desired Qualifications
- Experience with biosignal or neural data a plus but not required.
- Experience with learning algorithms; Support vector machines, Bayesian networks, Monte Carlo Markov chain analysis.
Compensation
- Compensation will be based on past experience and will competitive for the bay area.Compensation package includes salary, medical & dental benefits and stock options.**
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