postdoc
starting Jul. or Aug. 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 Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.) 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!
Leman Akoglu
Dean's Associate Professor, Information Systems
Heinz College of Information Systems and Public Policy
Carnegie Mellon University
www.cs.cmu.edu/~lakoglu/
