Research description:

Stereotactic EEG (sEEG) is an electrophysiological recording modality that obtains high temporal resolution of brain tissue’s electrical activity. In addition, it can sample deep structures of the brain. SEEG-Kit (SEEK) is a set of software tools that aims to merge data modalities (T1 MRI, CT, sEEG) and sEEG time-series analysis to robustly visualize data in 3-D and 4-D. SEEK is currently used in its alpha stage at Johns Hopkins Hospital for epilepsy monitoring. We are currently looking for a research assistant to join our research group in helping further develop SEEK. If you are interested in helping build out a next-generation data-analysis and visualization tool, please get in touch with us.

What you will gain:

  • Experience contributing robust software to a research tool that is used by neuroscience and clinical teams
  • Opportunities to be included on publications that utilize software tools built by you

Research associate qualifications:

We are looking for eager and driven engineers to help build out SEEK and its different components, specifically in visualization. We are looking for undergraduates who are ready to learn and contribute to an open-source set of packages. The minimum set of requirements are:

  • Entry-level software developer skills
  • Eager to learn
  • Familiarity with data structures

Preferred qualification include:

  • Comfortable with the following technologies:
    o Git: Version control
    o NodeJS: Backend server
    o threejs: Data visualizations for the web
  • Comfortable contributing to open-source
  • Familiar with unit-testing and continuous integration testing
  • Familiarity with neuroimaging