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Faculty Position in Network Theory for the Department of Computer Science and the Department of Physics

Recruitment Period

Open date: October 26th, 2017
Last review date: December 15th, 2017
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: June 30th, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


The University of California, Davis, via the Network Science HIP program, invites applications for a faculty position in network theory, which is an interdisciplinary academic field using graph theory, statistical mechanics, and applied mathematics to elucidate the mathematical foundations underlying the organization and function of networks across a wide range of applied disciplines. The appointment will reside in the Department of Computer Science or the Department of Physics, with the ideal candidate qualified to hold a joint appointment based in both departments. We are requesting authorization to hire at the Assistant, Associate or Full Professor level, with an intended start date of Fall 2018.

We are seeking scholars with expertise in the statistical physics of networks, graph theory, and/or algorithms for networks, including dynamics of and on networks, phase transitions, game theoretic underpinnings, with applications to robustness, resilience and control of real-world networks. UC Davis is home to a thriving Network Science community that spans all of the university’s colleges and units. We seek a scholar who is developing mathematical principles of networks and is eager to integrate across theory traditions in the mathematical, physical, biological, and social sciences, to partner with our broad existing base of network practitioners. There is also a vibrant Complexity Sciences Center and Graduate Group in Applied Mathematics that complement the network sciences activities. This effort is a part of a 3-year initiative to hire 10+ new faculty across multiple departments who focus on advanced computational theory and methods, including clusters of hires in computational neuroscience, network science, and data science (see

Job location

Davis, CA

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