We are recruiting 5 PhD students (fully funded) to work on interdisciplinary projects under the supervision of the core faculty of the Computational Social Science Lab: - Dr Olga Boichak <https://www.sydney.edu.au/arts/about/our-people/academic-staff/olga-boichak.html> (School of Art, Communication, and English, Faculty of Arts and Social Sciences) - Professor Monika Bednarek <https://www.sydney.edu.au/arts/about/our-people/academic-staff/monika-bednarek.html> (School of Humanities, Faculty of Arts and Social Sciences) - Professor Eduardo G. Altmann <https://www.sydney.edu.au/science/about/our-people/academic-staff/eduardo-altmann.html> (School of Mathematics and Statistics, Faculty of Science) - Professor Kalervo Gulson <https://www.sydney.edu.au/arts/about/our-people/academic-staff/kalervo-gulson.html> (School of Education and Social Work, Faculty of Arts and Social Sciences) - Associate Professor Tristram Alexander <https://www.sydney.edu.au/science/about/our-people/academic-staff/tristram-alexander.html> (School of Physics, Faculty of Science) - Dr Aim Sinpeng <https://www.sydney.edu.au/arts/about/our-people/academic-staff/aim-sinpeng.html> (School of Social and Political Sciences, Faculty of Arts and Social Sciences) - Dr Joanne Gray <https://www.sydney.edu.au/arts/about/our-people/academic-staff/j-gray.html> (School of Art, Communication, and English, Faculty of Arts and Social Sciences) We invite applicants with a background in computational social science, digital humanities, and/or data science with a strong regional and/or domain expertise. The successful candidate will join an interdisciplinary research team of the Lab, which is situated within the interdisciplinary, research-intensive environment of the Sydney Social Sciences and Humanities Advanced Research Centre (SSSHARC) at the University of Sydney. The supervisory team will typically be composed by supervisor and associate supervisor from different disciplinary backgrounds. This will expose PhD candidates to different traditions within computational social science, allow challenging research questions to be tackled, and contribute to the creation of long-term multidisciplinary collaborations within the University. Successful projects will employ a range of approaches for a critical understanding of big data and computation in their sociotechnical contexts. We particularly seek projects that would involve creating, applying, testing or evaluating a range of computational approaches (e.g. data visualization, corpus linguistics, topic modelling, network analysis, statistical machine learning) to investigate various potential datasets (including those collected from social media, news media, policy documents, etc.) and answer important theoretical and empirical questions to address socially significant issues in contemporary society. Theoretical frameworks underpinning the project may come from a range of social science and humanities disciplines. Of particular interest are projects that explore the development of algorithmic systems and policies and critically investigate their social, cultural, and ethical implications. Projects might cover a wide range of social domains including, but not limited to human rights, public discourses, digital literacies, safety and security, educational outcomes, social studies of science, etc. Computational methods may be combined, enhanced, interrogated or enriched with traditional methods through triangulation of approaches. More information at the link: https://www.sydney.edu.au/arts/study/scholarships/phd-scholarships/computati... Please contact Olga Boichak at sicss.admin@sydney.edu.au with any questions.