AIThe case for starting AI graduate applications with a supervisor match
VectorInst calls the standard process “backward,” arguing that applicants commit time and money before learning whether a lab has space, funding or interest in their research.
TLDR
VectorInst argues that AI graduate applications should start with finding the right supervisor match. It describes applicants spending months researching programs, navigating faculty pages and emailing professors who may not respond, then paying hundreds of dollars in fees before learning whether a lab has space, funding or interest in their work.
The case for starting AI graduate applications with a supervisor match
VectorInst calls the standard process “backward,” arguing that applicants commit time and money before learning whether a lab has space, funding or interest in their research.
