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NSF-NRT Interdisciplinary Training in Complex Networks and Systems at Indiana University

last modified Dec 16, 2018 03:27 PM

Interdisciplinary Training in Complex Networks and Systems- https://youtu.be/nHUw4V3uMGM

Understanding complex networked systems is key to solving some of the most vexing problems confronting humankind, from discovering how dynamic brain connections give rise to thoughts and behaviors, to detecting and preventing the spread of misinformation or unhealthy behaviors across a population. Graduate training, however, typically occurs in one of two dimensions: experimental and observational methods in a specific area such as biology and sociology, or in general methodologies such as machine learning and data science.

With more and more students seeking to gain sufficient expertise in mathematical and computational methods on top of domain-specific laboratory and social analysis methodologies, a greater demand for more efficient interdisciplinary training is emerging. The Indiana University National Science Foundation Research Traineeship (NRT) addresses this growing need with an integrated dual PhD program that trains students to be "bidisciplinary" in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity.

NSF fellow must be US citizens residents. IU fellowships and NRT affiliates available for international students.

Applications Due January 1, 2019

For more information on how to apply please contact: infograd@indiana.edu. For information about research and academic components, please see our website https://cns-nrt.indiana.edu.