Postdoctoral Fellow in Center for Complex Networks and Systems
Simulation of Information Diffusion in Online Social Networks
Center for Complex Networks and Systems
School of Informatics Computing, and Engineering (SICE)
Indiana University, Bloomington
The Center for Complex Networks and Systems Research (cnets.indiana.edu) at Indiana University has an open postdoctoral position to study how information spreads through complex online social networks. The anticipated start date for this position is January 1, 2018 (negotiable). This is an annual renewable appointment for up to 3 years subject to performance and funding.
The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with PIs Filippo Menczer, Yong-Yeol Ahn and Alessandro Flammini, other postdocs, and several PhD students on analysis and modeling of social media data. Areas of focus will include empirical analysis of information diffusion patterns, agent-based models for the spread of information, and cognitive models of information processing. Go to osome.iuni.iu.edu for further details on the team and related current projects.
A Ph.D. in Computing, Mathematical or Physical Sciences or related field is required.
The ideal candidate will have a strong background in analysis and modeling of complex systems and networks; a strong interest in computational social science; and solid programming skills necessary to handle big data an develop large scale simulations
Apply Online at: http://indiana.peopleadmin.com/postings/4468
Special Instructions: Interested applicants should upload a letter of interest, CV, a list of publications, and names and contact information for three professional references using above application link.
Questions may be emailed to: email@example.com
For Best Consideration Apply By: October 8, 2017
Ideal Start Date for position: January 1, 2018
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status.