Postdoctoral position focused on applications of network analysis.
This position is particularly focused on applications in network neuroscience and in the analysis of various -omics data sets. Candidates with previous experience with network analysis or with applications in these specific areas will be given the highest priority. The successful candidate will have the opportunity to work interdisciplinarily with a wide range of social networks and network neuroscience interests at both UNC and Duke, as well as with collaborators of Mucha's networks research group at Penn, Columbia and Washington University in St.Louis. If desired, applicants with the requisite background and teaching experience will also be considered for a teaching assignment in the Department of Mathematics.
The position is initially for one-year, renewable based on satisfactory performance and availability of funding. Starting date: August 1, 2020 preferable but negotiable Ph.D. in Mathematics, Applied Mathematics, Statistics, Computer Science, Neuroscience, Sociology, Physics, Engineering, or a closely related field. Previous research experience in the study of networks is required. Preference will be given to candidates with demonstrated expertise in clustering, community detection, modeling infection or information spread, networked dynamical systems, and especially in the application areas of neuroscience or -omics data sets. Applicants should submit the following at www.mathjobs.org: (i) a current vita including all publications and submitted articles, (ii) a current research statement, and (iii) at least three reference letters that address research qualifications for the position. In addition, applicants must apply online at http://unc.peopleadmin.com/postings/178222 to be considered for this position. Applications will be considered until position is filled. For further information, please contact: Peter Mucha Bowman and Gordon Gray Professor, Department of Mathematics mucha@unc.edu The University of North Carolina at Chapel Hill is an Equal Opportunity Employer. We welcome all qualified applicants to apply, including individuals of all gender identities, under-represented minorities, individuals with disabilities, and veterans. |