[Air-L] Fully funded PhD scholarships in computational social science

[Olga Boichak]

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/computational-social-science-lab.html

Please contact Olga Boichak at sicss.admin at sydney.edu.au with any questions.