Graduate Position in Social Network Modeling at the Ohio State University One PhD position in social network modeling is available starting Autumn Semester 2017 in the research group of Ian Hamilton in the Departments of Evolution, Ecology and Organismal Biology and Mathematics at the Ohio State University in Columbus, Ohio. This position is part of a NSF-funded project on conflict management in animal social networks. The graduate studentship includes summer semester support for 3 years. Support during the academic year will be provided through teaching assistantships.
We are looking for a student who will develop mathematical or computational models of conflict management in complex animal societies and use these to explore the resilience of animal social networks to environmental and social perturbation. The student will collaborate as part of an interdisciplinary project that combines experimental work on a highly social cichlid fish, Neolamprologus pulcher, with network and agent-based modeling. In addition to a primary focus on developing models, the successful candidate for this position also could contribute to data collection and the design and implementation of experimental manipulations in the laboratory and field if interested. Candidates should bring a background in research and coursework in behavioral ecology, mathematical biology, or complexity science to this project. Experience in social network modeling and analysis, graph theory, or agent-based modeling is desired. Candidates will need to be competitive applicants to the Ohio State University Evolution, Ecology and Organismal Biology graduate program. Please send a cover letter, CV and list of references by email to: Ian Hamilton ([email protected]), Department of Evolutionary Ecology and Organismal Biology, Department of Mathematics, The Ohio State University. Please include the phrase “Animal Social Networks Position – YOUR NAME” in the subject of your message. Review of applications will begin November 1, 2016. We are committed to promoting diversity and equal opportunity in STEM and encourage students from groups historically underrepresented in STEM to apply.
