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Open Ephys is looking for students to help us improve our GUI (http://www.open-ephys.org/gui/), an open-source data acquisition application used by neuroscientists across the globe. You'll have the opportunity to contribute code that will be applied immediately to real experiments in neuroscience labs across the world, as well as to learn the scientific motivations that drove us to create the GUIOpen Ephys.
The only prerequisite is proficiency in C++, as demonstrated through coursework, code samples, and discussions with potential mentors. Experience with signal processing, data visualization, machine learning, embedded systems, and/or the Juce Juce framework may be helpful, but are not necessary. Our software runs on Windows, Mac, and Linux, so you'll be able to work with the OS of your choice.
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Description: Creating custom processing modules for the Open Ephys GUI currently requires knowledge of C++. However, most scientists prefer to write code in high-level languages, such as Python and Matlab. Julia is a newly developed relatively new language for scientific computing that combines a syntax of similar to Matlab with the speed of compiled C++. It's easy to call Julia code from a C++ application using the Julia C++ interface. In order to take advantage of the vast amount of signal processing code that's been written by neuroscientists, and to make it easier for users to modify the GUI, we'd like to make it possible to run Julia code directly within our software. Julia modules could be used for such applications as detecting patterns in spiking activity or performing spectral analysis on neural signals. We already have a working minimal prototype (https://github.com/open-ephys/gui/tree/jvoigts), but it needs to be made more robust and user-friendly.
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