PhD Position in Explainable Brain Information-Flow Modeling — Rochester Institute of Technology

A PhD position is available in a lab at Rochester Institute of Technology (RIT) studying how information flows in the brain, starting Fall 2027 (August 2027), through RIT's PhD program in Computing and Information Sciences.

The lab uses signal processing, statistics and AI to build explainable models of brain information flow across frequency bands and imaging modalities, and studies these flows as biomarkers for cognitive processes and diseases. The lab has its own wireless EEG-fNIRS system for in-house concurrent recordings.

Institution: Rochester Institute of Technology (RIT)
Field: Computing and Information Sciences; neuroimaging, signal processing, statistics and AI
Level: PhD
Funding: Not stated in the post
Eligibility: Applicants with a background in computer science, electrical engineering, signal processing or a related field are encouraged to apply.
Deadline: Not stated as a specific date. Applications submitted before January 1 receive priority consideration.
How to apply: Email the principal investigator at mapcgns@rit.edu with your CV/resume, highlighting relevant experience, to discuss research alignment. Formal applications are submitted through the RIT online application system; admission decisions are made by the PhD program. Program information: https://www.rit.edu/computing/phd-computing-and-information-sciences