***** To join INSNA, visit http://www.insna.org ***** Dear all, We have an exciting, fully funded PhD opportunity in "Dynamic Inferential Network Analysis for Public Health" at the University of Glasgow. Details below. Please contact me for further information. *Application deadline*: 12 noon, 13 January 2017 *Topic*: Dynamic Inferential Network Analysis for Public Health *Supervisors*: - Philip Leifeld (social sciences) - Mark McCann (public health) - Nema Dean (maths & stats) *Type of funding*: This is one of the prestigious Lord Kelvin Adam Smith Scholarships at the University of Glasgow. Each year, a handful of selected PhD scholarships are granted to the best applicants. These LKAS scholarships are fully funded, which means that the funding includes all tuition fees, a stipend at RCUK rates (currently £14,510 per year for 2017/18), and an annual research support budget of £3,000. *Project summary*: The PhD candidate will work on the development and implementation of statistical techniques for inference on longitudinal networks and apply these techniques to datasets from the field of public health. Many public health outcomes, such as mental health or substance abuse, are network phenomena because they do not develop in isolation. It is vital for public health to understand not just the prevalence, but more importantly, also the causes of these "networked" health outcomes. Research has suggested that people's health risk behaviour and outcomes (e.g., smoking and obesity) may spread through networks ("contagion"); or may provoke network or friendship ties among people with similar behaviour ("homophily"). In recent years, research in network science, public health, the social sciences, and statistics has therefore developed inferential network analysis techniques for modelling the structure and dynamics of friendship or contact networks (e.g., the Temporal Exponential Random Graph Model; TERGM) and the diffusion of behaviour through networks over time (e.g., the Temporal Network Autocorrelation Model; TNAM). The innovative aspect of this project is the extension of the TERGM and the TNAM model to networks with multiple groups, multiple relations, and/or in a co-evolutionary joint process. This is of particular importance in public health, where behaviour like smoking and mental health can otherwise not be explained properly. *Project team*: The PhD student will have the opportunity to make use of a variety of datasets in public health and work in an exciting interdisciplinary environment. The candidate will work with supervisors from social science research methods, public health, and statistics, whose joint interest is the study of network dynamics. Dr Philip Leifeld is a Senior Lecturer in Research Methods in the School of Social and Political Sciences. His research focuses on network dynamics and applications in the social and political sciences. Dr Mark McCann is a Research Fellow in the Social and Public Health Sciences Unit and is an expert in substance use, mental health, adolescent health behaviour, and complex systems. Dr Nema Dean is a Lecturer in the School of Mathematics and Statistics. Her research focuses on model-based inference for dependent and high-dimensional data. The PhD project will be hosted by the Graduate School of Social Sciences, and a stronger involvement in any of the three disciplinary homes and institutions of the supervisors is possible, depending on the interests of the candidate. The PhD project will also offer the option of a research stay abroad in the wider network of the three supervisors. *Person specification*: This studentship is open to candidates of any nationality -- UK, EU or International. Applicants should demonstrate the following: - Necessary: A strong master's degree or very strong bachelor's degree in one of the relevant disciplines, including any of the social sciences, public health, statistics, computer science, network science, or related disciplines. - Desired: An interest in, or experiences with, the analysis of networks; an interest in public health and behaviour; a strong background or interest in quantitative methods and statistics; experiences in at least one programming language, such as R or C++. - The ideal candidate enjoys interdisciplinary work and is intrinsically motivated to learn new statistical techniques and programming languages. *Application process*: In the first instance, prospective applicants should contact any of the three supervisors to discuss your eligibility ([log in to unmask]; [log in to unmask]; [log in to unmask]). Applicants may submit applications up until the application deadline of 12 noon, Friday 13 January 2017. More details on the application procedure are available on the website of the Lord Kelvin Adam Smith PhD Scholarship at the University of Glasgow: http://www.gla.ac.uk/services/postgraduateresearch/scholarships/kelvinsmith/ Other PhD opportunities with me in Glasgow are available on request. Please distribute widely. Many thanks, Philip -- Dr Philip Leifeld Senior Lecturer in Research Methods Director of Postgraduate Research Training School of Social and Political Sciences University of Glasgow http://www.philipleifeld.com _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.