Connectionists: Postdoctoral Position in Network Analytics and Machine Learning at Stanford University

[Rok Sosic]

Prof. Jure Leskovec is inviting applications for a research position of 
Postdoctoral Scholar in the SNAP Group, see http://snap.stanford.edu/. The group 
is one of the leading centers for applied machine learning on networks. Our 
research focuses on modeling complex, richly labeled graphs and networks at all 
scales for large complex interconnected systems from information, biomedical, 
and social domains. Examples of potential projects include: deep learning for 
networks, AI for health, tools for large-scale dynamic time-series, and machine 
learning for public policy problems.

We are seeking highly motivated postdoctoral researchers with background in 
computer science and machine learning to join our group in a quest to perform 
breakthrough research on approaches that advance network science, including 
mathematical methods, algorithms, and systems. An ideal candidate has strong 
research skills in relevant areas: learning on graphs, large-scale network 
embeddings, deep learning, causal inference. A Ph.D. degree or equivalent is 
required. Strong programming skills are a plus.

Please apply at: http://snap.stanford.edu/apply/index-postdoc.php

The review of applications will begin immediately and will continue until the 
position is filled.

Stanford, one of the world's top universities, is located on a beautiful campus 
in the San Francisco Bay Area. Stanford has long been a magnet for talent in 
computing, and is considered the birthplace and spiritual center of Silicon 
Valley, an unparalleled center of technological and scientific innovation.

Stanford University is an affirmative action and equal opportunity employer, 
committed to increasing the diversity of its workforce. It welcomes applications 
from women, members of minority groups, veterans, persons with disabilities, and 
others who would bring additional dimensions to the university's research and 
teaching mission.