PhD position for Social Networks and Digital Cultural Consumption

Job description During this project, you will be at the forefront of social network research, both independently and as a member of our research team. Your responsibilities may encompass: Revisiting and further developing theories from the field of cultural sociology. Being involved in conceptualizing and designing innovative data collection strategies and behavioral experiments. Developing new statistical methods for analyzing digital data with network concepts (with the potential to collaborate with other team members). Engaging in interdisciplinary dialogues (e.g., computer science, information science, political science, sociology, etc.) to enhance our knowledge on how digital systems shape and mediate individual preferences and their societal implications. Presenting research progress at related conferences to an international, multidisciplinary audience. Profile Successful candidates should have the following qualifications: An excellent Master's degree in social, computational, statistical, or behavioral sciences (e.g., sociology, applied math, economics, statistics, social data science, political science, psychology).  Prior work such as a Master thesis that demonstrates a strong interest in quantitative social network research. Demonstrated experience in research design and project implementation (e.g., obervational data collection, experiment design and implementation, etc.), ideally in the domain of social networks and/or computational social sciences. Solid quantitative analysis and data management skills, including experience in or willingness to learn R or Python. Strong skills in scientific writing. Ability and willingness to work productively in an interdisciplinary, international team.  The PhD project may start on October 1 or on a mutually agreed upon date thereafter.  Workplace Workplace We offer We offer an inspiring research environment at one of the world's top universities, close collaboration in a small research lab that is part of a leading international network of social networks researchers, advanced training in modern social networks research, generous research funding and a competitive salary. Tuition fees do not apply. We cultivate a collegial and supportive work environment. Weekly group meetings and regular presentations provide a forum to share problems and challenges, half-baked ideas, work in progress, and obtain peer feedback. We have regular team activities, including reading group meetings, writing retreats, and day trips, to foster collaboration, team bonding, and enrich our research experience. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. Please submit the following application documents using the ETH online portal:  A single merged PDF document, titled with your last name and initial (e.g., SmithJM_application), containing, in the following order: A short motivation statement (max 1 page, single-spaced) describing the most important specific examples of how your prior academic journey has made you an ideal fit for this project and how your PhD work might contribute to your future goals; one aspect in which you feel less prepared and how you might deal with this in the course of the PhD. A short research statement (max 1 page, single-spaced) describing a research project that you are interested in pursuing and how it fits within the scope of the project background; how the proposed project could benefit from previous or ongoing research conducted in the lab (see some projects and publications). Academic CV. Transcripts of graduate/master-level course work. Names and contact information of two references who could speak about your qualifications for this position and your relationship to them (no letters). We will start reviewing applications on August 23, , until the position is filled. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about Social Networks Lab can be found on our website. Questions regarding the position could be directed to Dr. Xinwei Xu () (no applications). About ETH Zürich