Research in the LaConte lab is devoted to advanced neuroimaging acquisition and data analysis approaches, aimed at understanding and rehabilitating neurological and psychiatric diseases. A major focus of the lab is an innovation in functional magnetic resonance imaging (fMRI) which we developed and call "temporally adaptive brain state" (TABS) fMRI. The inception of TABS arose from two major recent advances in neuroimaging, namely 1) the recognition that multi-voxel patterns of fMRI data can be used to decode brain states (determine what the volunteer was "doing" ? e.g. receiving sensory input, effecting motor output, or otherwise internally focusing on a prescribed task or thought) and 2) continued advances in MR imaging systems and experimental sophistication with fMRI that have led to the emergence of real-time fMRI as a viable tool for biofeedback. The successful candidate for this position will have broad interests related to the lab's ongoing projects and be able to make substantial contributions to enable the data acquisition and analysis needs of the lab. Position duties and responsibilities: Open source software development in C/C++ Data analysis MRI data collection Stimulus programming in python MRI pulse sequence programming Generate clearly written reports and present results in oral presentations
Master's degree in engineering, physics, mathematics, computer science, neuroscience, or related field. Must be able to implement signal and image processing algorithms in computer software. Experience in Unix/Linux software development in C.
Experience in fMRI data collection and analysis.