The starting point for the project is to identify the "organization'' of a social group as the communication network(s) within that group. To begin we will adopt a group-selection perspective, assuming that the social group's network structure is (approximately) optimal, given the information-processing limitations of the agents within the social group, and the exogenous welfare function of the overall group. We intend to leverage the computational power of neural networks to solve such problems. An expanded description of this project can be found at https://arxiv.org/abs/1702.04449
This project, led by the Santa Fe Institute, is a collaboration among archaeologists, economists, and computer scientists. The ideal starting date is the spring of 2018, though that is flexible. The position would last for two years, with possible extensions.
The SFI Postdoctoral Fellowship offers:
• collaboration with leading researchers worldwide
• funds to attend conferences
• opportunity to participate in SFI’s postdoctoral fellows leadership training program
• a Ph.D. in any scientific discipline
• strong quantitative and computational skills
• an exemplary academic record
• a proven ability to work both independently and collaboratively
• a demonstrated interest in trans-disciplinary research
• evidence of the ability to think outside traditional paradigms.
Please send an email containing your CV to firstname.lastname@example.org with “SFI Program Postdoc, Neural Network Models of Social Organizations” in the subject line.
Please include names and contact information of two or preferably three references. Applications will be accepted until the position is filled. No phone calls, please.
The Santa Fe Institute is an equal opportunity employer, and women, veterans, and minorities are especially encouraged to apply. U.S. citizenship is not a requirement, but you should be a U.S. permanent resident or eligible for J-1 visa sponsorship.