The Singapore Institute for Neurotechnology (SINAPSE) brings together engineers, scientists and clinical researchers with a common goal of making an impact on society. SINAPSE focuses on Neurotechnologies for basic science, clinical application and commercialization. We invite highly talented and motivated applicants, who are enthusiastic about working in a multidisciplinary research environment, to fill the following openings: Research Assistant/Engineer for Signal Processing Job Description: The research assistant will be involved in the signal processing of recorded neural and EMG data. The duties of this position will be: storage, management, and processing of multi-channel neural and EMG data, neural decoding using feature extraction and discriminant analysis, correlation and mapping of neural information to EMG muscle activity, plotting or representation for reporting of data. Candidates with backgrounds in electrophysiology, neuroscience, programming and/or signal processing will be preferred. Relevant Backgrounds: Electrical & Computer Engineering, Computer Science, Biomedical Engineering, Mathematics, and other engineering or mathematics-related backgrounds. Minimum Education: University degree or higher Start Date: Immediate Research Assistant/Engineering with Software background Job Description: This RA will work on software development for designing the graphical user interfaces necessary to acquire data using the custom designed data acquisition chips. Candidates must have strong backgrounds in LabView and Matlab; other languages will be beneficial. Experience in electronics and/or electrical & computer engineering is preferred. The position will also include engineering design of devices with GUIs for psychophysical experiments. Such devices, for example, will include designing and constructing a psychophysics task system such as a ball-drop tracking system. A subject will be given a visual cue (on a monitor), retrieve a ball, place a ball in a slot, and receive a reward. Accelerometers and force sensors throughout the device would measure the location of the ball at all times and the force with which the subject grips, and reported back to the data acquisition system, while the system is controlled via a user interface. Relevant Backgrounds: Electrical & Computer Engineering, Electronics Engineering, Computer Science, Biomedical Engineering, or other engineering backgrounds. Minimum Education: University degree or higher Start Date: Immediate Interested candidates should send the following in their application to apply: ▪ Cover letter describing your research accomplishments and career goals ▪ CV ▪ Two reference contacts Please send your application package to Ms. Faith Bazley ([email protected]) and Prof. Yen Shih Cheng ([email protected]).
Posted on: Tue, 30 Jul 2013 02:15:46 +0000
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