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PhD Fellowship in Social Data Science in Joint Research Initiative by the University of Copenhagen (Denmark) and the University of Edinburgh (UK)

Københavns Universitet (KU)



Applications are invited for a PhD Fellowship in Social Data Science in Joint Research Initiative by the University of Copenhagen (Denmark) and the University of Edinburgh (UK) Enrolment will be at the Faculty of Social Sciences under Copenhagen Graduate School of Social Sciences.

The successful candidate will start August 1, 2021 or as soon as possible thereafter.

Who are we looking for?
We are looking for a PhD candidate in the area of Social Data Science, broadly defined. The PhD project should deal with important problems and phenomena related to social science (such as climate change, conflict and discrimination, challenges of digitalization, poor health behaviors, misinformation, etc.). The PhD candidate is expected to address (one of these) issues using methods from computational/data science, including (but not limited to) netnography, network analysis, computational text analysis, and machine learning.

Applicants can have a background either in a social science discipline (e.g., anthropology, economics, sociology, political science psychology) or in data science. We are looking for the most talented candidates that ideally bring some knowledge and experience in either one of the content areas, or the methods, or both.

What do we offer?
The PhD positions will be part of a joint research initiative by the Center for Social Data Science (SODAS, https://sodas.ku.dk/), University of Copenhagen/Denmark, and the Center for Data, Culture & Society (https://www.cdcs.ed.ac.uk/), University of Edinburgh/UK. Both institutions offer a lively research environment and host a number of researchers who have expertise in various social science areas and computational/data science methods.

We offer a competitive, fully funded PhD position. The PhD candidate will be based in Copenhagen, with joint supervisors from both universities. It is expected that the PhD candidate spends one year during the PhD period at the University of Edinburgh.

Introduction
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme is a three year full-time study within the framework of the 5+3 study programme.

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.

Applicants should familiarise themselves with the research strategy and the ongoing research at the Department before submitting their application. Further information can be found:

https://www.economics.ku.dk/research/
https://www.econ.ku.dk/forskning-og-publikationer/

Applications

  • The University of Copenhagen wishes to reflect the surrounding society, and invites all qualified applicants, regardless of personal background, to apply for the positions.
  • In order to be awarded a PhD scholarship the applicant has to enroll 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 can be awarded each term.

Scholarship in the 5+3 PhD study programme
In order to be eligible for a scholarship in the 5+3 PhD study programme the applicant must have completed a two year MSc degree programme, or have earned 120 ECTS credits at an equivalent academic level before starting his or her employment. Applicants should check the study programmes for more detailed descriptions of the entry requirements. PhD students are paid a salary in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC). The PhD student has a work obligation of up to 840 hours over the 3 year period of time without additional pay. The work obligation can include for instance teaching.

How to apply
Submit a complete application at our online portal. Click on the “Apply now” icon at the bottom of the page to apply. The documents must be in Adobe PDF or Word.

  • Cover/motivation letter
  • Proposal for a PhD research project in the area of social data science (1,000-1,500 words) including the main objectives, data to be collected/analyzed, and methods used for analyses
  • CV
  • Diploma and transcripts of records (BSc and MSc)
  • Bachelor and Master theses (if applicable)

Please note that it is only possible to upload one document per attachment category. If more than one document has to be uploaded in the same category, please make sure that they are scanned and collected into one file.

Application process
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/

The recruitment process
Further information on the recruitment process at University of Copenhagen can be found here: https://employment.ku.dk/faculty/recruitment-process/

The following criteria are used when shortlisting candidates for assessment:

1. Research qualifications as reflected in the project proposal.

2. Quality and feasibility of the project.

3. Qualifications and knowledge in relevant disciplines.

4. Performance (grades obtained) in graduate and post-graduate studies.

5. The Faculty of Social Sciences can offer adequate supervision for the research topic in question.

Selected 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 him/herself.

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 Researrch, 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
For further information on the position, please contact Head of Social Data Science PhD Program: Professor Robert Böhm rb@psy.ku.dk

Information about the recruitment process is available from Lotte Strandberg, HR South City, e-mail: hrsc@hrsc.ku.dk, please refer to ID number: #1 211-0717/21-2H

The closing date for applications is 15th May, 2021 23:59 CEST
Applications received after the deadline will not be taken into account.

Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.

Info
Ansøgningsfrist: 15-05-2021

Ansættelsesdato: 01-08-2021

Afdeling/Sted: The Faculty of Social Sciences

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