[Opt-net] Postdoc Position in Multilevel Optimization at Argonne

[Sven Leyffer]

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position focusing on the development of a next-generation set of mathematical models and computational techniques to simulate, detect, and mitigate attacks on networks of computers. The goal of this project is to develop multilevel techniques on networks to analyze attack methods over time and across the network space. The successful candidate will develop multilevel machine-learning techniques to support automated intrusion detection capabilities, and new mathematical models to improve the response to cyber attacks. 

Candidates should be familiar with C/C++ and have a background in one or more of the following: optimization, network analysis, linear algebra, scientific computing, and machine learning. Experience with multilevel techniques, or large-scale and integer optimization is a plus. Candidates should submit an application via the Argonne website under division postdoctoral job openings for job requisition MCS-316992. For further information about postdoc appointments at Argonne, see the http://www.dep.anl.gov/postdocs/divisionpostdoc.htm. Questions can be addressed to Sven Leyffer, or Ilya Safro, MCS Division, by e-mail to leyffer at mcs.anl.gov or safro at mcs.anl.gov.

Sven Leyffer & Ilya Safro
Argonne National Laboratory