starting Sep. or Oct. 1, 2021;
for a 1-year funded project on studying graph neural networks;
with a focus on anomaly detection, automating (unsupervised) model selection, and applications to real-world transaction/accounting networks. (The term may be renewed for another year, upon mutual interest.)
The position can be remote-only, in-person (once parties are vaccinated and immune) or a hybrid.
Please contact me (at <lak...@andrew.cmu.edu>) with a brief summary of background and CV;
if you are an outstanding graduating student who is interested in the aforementioned subject areas,
and have the appropriate background.
Note that a written reference from your PhD advisor will also be requested upon mutual interest.
The position will remain open until filled.
Thank you!