PhD Scholarship in Social Data Science
Published | December 18, 2022 |
Location | Copenhagen, Denmark |
Category | Data Science |
Job Type | Scholarship |
Description

Who are we looking for?
We are looking for a PhD candidate in the area of Social Data Science, broadly defined. The PhD candidate will be a part of the research project GENDERED (Gendered Democratic Participation on Social Media). The project aims to 1) map gender inequalities in democratic participation on social media, 2) investigate mechanisms that produce democratic inequalities and 3) develop computer assisted text methods to investigate gender processes in online interactions.
The PhD will work on a large Danish social media dataset containing a near exhaustive sample of public interaction from 2010 – 2018. A central focus of the PhD will be to use and develop computational text analysis techniques (machine learning, natural language processing) to address questions in the intersection of gender studies, sociology, and political science. This will involve a mixed methods research strategy where computational methods are used to assist the qualitative analysis of social media communication.
Applicants can have a background either in a social science discipline (e.g., anthropology, economics, sociology, political science, psychology) or in (social) data science. We are looking for the most talented candidates who ideally bring some knowledge and experience in the content areas, in the methods, or both.
The deadline for applying is 31 January 2023.
The preferred starting date is 1 April 2023, but an earlier or later starting date might also be possible.
What do we offer?
The PhD will become a part of the GENEDERED research team which consists of top researchers within political science, sociology, social data science, and computer science. This team of researchers will also be the ones providing support, feedback, and supervision.
The PhD scholarship will be hosted at the Copenhagen Center for Social Data Science (SODAS, https://sodas.ku.dk/), University of Copenhagen, Denmark). SODAS offer a lively research environment and host several researchers who have expertise in various social science areas and computational/data science methods.
We offer a competitive, fully funded PhD position for 3 years. The PhD candidate will be based in Copenhagen.
Duties and Responsibilities
Further information about the PhD study programme is available on the website of Copenhagen Graduate School of Social Sciences: https://samf.ku.dk/phd-skolen/english/
https://samf.ku.dk/phd-skolen/
Under "Legal basis" on the website you will find information about the rules and guidelines for the PhD programme, and the Danish Ministerial Order on the PhD Programme at the Universities.
Application
Applications must be submitted electronically no later than 31 January 2023 through the electronic application system.
Click on the “Apply now” icon at the bottom of the page to apply. The documents must be in PDF or Word.
Applications should include the following enclosures:
· Cover/motivation letter (max. 2 pages)
· Diplomas and transcripts of grades (if applicable)
· Bachelor and Master theses (if applicable)
· Proposal for a PhD research project in the area of social data science (1,500-2,000 words, excluding references) including the main objectives, data to be collected/analysed, and methods used for analyses. All within the overall focus of the GENDERED research project.
· CV
Please note that applications or material received after the deadline will not be taken into account.
The University of Copenhagen wishes to reflect the surrounding society, and invites all qualified applicants, regardless of personal background, to apply for the positions.
· To be awarded a PhD scholarship, the applicant has to enrol as a PhD student at the Faculty of Social Sciences, cf. the rules of the Danish Ministerial order No 1039 of 27 August 2013.
· Please note that normally there is strong competition for these scholarships, and only a few applicants will be shortlisted.
On the website of Copenhagen Graduate School of Social Sciences, you will find information about the application process, and enclosures to include with your electronic application:
https://samf.ku.dk/phd-skolen/english/applicants/application/current_advertisement/
https://samf.ku.dk/phd-skolen/til_ansogere/ansoegning/aktuelle_opslag/
Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/
Shortlisted applicants are notified of the composition of the assessment committee, and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant themselves. You can read about the recruitment process
at https://employment.ku.dk
An Equal Opportunity Workplace
The University of Copenhagen is committed in its pursuit of academic excellence to equality of opportunity and to creating an inclusive working environment and therefore encourages all qualified candidates to apply, regardless of personal background, gender, sexual orientation, age, disability, ethnicity etc. For more on the diverse working place environment at the University and the University’s participation in the HRS4R HR Excellence in Research, see https://employment.ku.dk/working-at-ucph/eu-charter-for- researchers/
International applicant?
The University of Copenhagen offers a broad variety of services for international researchers and accompanying families, including support before and during your relocation and career counselling to expat partners. Please find more information about these services as well as information on entering and working in Denmark here: https://ism.ku.dk/
Contact information
Further information about the position and the GENDERED project can be obtained from the project PI Hjalmar Bang Carlsen (hc@sodas.ku.dk).
For information about the recruitment process please contact Dorthea Andersen at HR South and City Campuses (hrsc@hrsc.ku.dk).
For further information on the PhD programme, please contact the Head of the PhD programme at SODAS: Professor Ingo Zettler (ingo.zettler@psy.ku.dk)