The Software and Societal Systems Department, in the School of Computer Science, at Carnegie Mellon University is looking to hire a Post-Doctoral Associate who is interested in developing and using agent based simulation tools and the network science tools available at CMU to study human information related behavior using large scale social media data. These tools are the ORA network analytic software and the Construct agent based simulation software. Successful candidate will work closely with Dr. Kathleen Carley and members of the IDeaS center focusing on extending the Construct agent-based simulation system to include more sub-models of framing and behavior, designing and running virtual experiments using Construct to assess the impact of the information maneuvers and counters to them, validating the simulator using stylized facts and general statistics. The successful candidate must be able to program in, and have had experience in programming in, C , have basic statistical skills, and be familiar with Twitter, Reddit, and Telegram. Note this agent based model is composed of hundreds to thousands of heterogeneous agents who interact, send message, read messages, learn and make decisions. The goal is to add in behaviors related to social theories such as signalling, emotional responses such as excitement, so that the agents conduct and respond to the 16 BEND maneuvers seen in information operations. This is not a machine learning project, and machine learning models will not be used as simulators. Preference for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidate will work on at least two related simulation and empirical analysis projects, develop and run virtual experiments, document results, write papers with Dr. Carley, and present those results in the IDeaS conference.

Must have a PhD in STEM Field (including computational or mathematical social science).

Ability to program in C and Python, basic statistics, and experience building, validatiing and working with ABM's.