Scholr's supervisor matching is powered by a multi-stage AI agent that searches for professors whose active research aligns with your profile. Here's how it works.
What gets matched
The matching agent considers:
- Your research interest keywords
- Your target degree level (MSc, PhD, postdoc)
- Your field of study
- The content of your profile including publications and experience
It searches against a database of supervisor profiles built from institutional faculty pages, lab websites, and publication records.
Match scoring
Each supervisor is assigned a match score that reflects keyword overlap, publication recency and relevance, and the degree of alignment between their active research and your stated interests. Scores are relative — the highest-scoring supervisors on a given search are the strongest matches for your specific profile.
Funded and accepting status
Where available, Scholr flags supervisors who are known to be currently accepting students or who have active funding. This information is sourced from lab pages and is checked periodically, but it may not be current for all supervisors. Always verify directly before applying.
Improving your matches
The more complete your profile, the better the match quality. Specifically: adding publications, refining your keyword list, and selecting an accurate target degree all improve results. If your matches feel too broad or too narrow, update your keywords and run the search again.