[Air-L] Postdoctoral positions call at DATALAB - Center for Digital Social Research, Aarhus Uni in Denmark

[Anja Bechmann]

Dear colleagues,



Come work with us at DATALAB – Center for Digital Social Research. We
welcome amazing scholars to help us do great research at our center and
contribute to building a strong interdisciplinary research community –
please reach out to me if you have any questions or forward to your
excellent PhDs/postdocs:



Postdoctoral Fellowship(s) at DATALAB – Center for Digital Social Research,
DK

The Department of Media and Journalism at the School of Communication and
Culture at Aarhus University in Denmark invites applicants for one or two
postdoctoral positions at DATALAB – Center for Digital Social Research.
These positions offer applicants an exciting opportunity to join the Aarhus
University Research Foundation (AUFF) research project ‘AI in Digital
Sociology’ and the EU H2020 research projects ‘SOMA’ and ‘NGI Forward’,
which focus on social media and collective behaviour, next generation
internet technologies and human values.



Each postdoc position is a full-time and fixed-term position and begins 1
April 2020 or as soon as possible thereafter. Deadline for application is 3
March 2020. More information and upload of applications are available here:

https://international.au.dk/about/profile/vacant-positions/job/postdoctoral-fellowship-s-at-datalab-center-for-digital-social-research-2770/



The School of Communication and Culture is committed to diversity and
welcomes applications from all qualified applicants regardless of their
personal background.



 Sincerely,


Anja Bechmann
Professor & Director of DATALAB


Mobile: (+45) 51335138
Email: anjabechmann at cc.au.dk
Web: www.datalab.au.dk

*DATALAB, Center for Digital Social Research*
Aarhus University
Helsingforsgade 14, ICT-City
8200 Aarhus N
Denmark



New publications:



Bechmann, A. & Zevenbergen, B. 2020. AI and Machine Learning: Ethical
Guidelines <https://aoir.org/reports/ethics3.pdf>  IRE 3.0, Association of
Internet Researchers.



Bechmann, A. 2019. Inequality in posting behavior over time: a study of
Danish Facebook users <https://doi.org/10.2478/nor-2019-0012>, Nordicom
Review, 40(1).



Bechmann, A. & Bowker, G.C. 2019. Unsupervised by any other name:
Hidden layers of knowledge production in artificial intelligence on
social media <https://doi.org/10.1177/2053951718819569>, Big Data &
Society, 6(1).



Bechmann, A. & Nielbo, K. 2018. Are We Exposed to the Same “News” in the
News Feed? An empirical analysis of filter bubbles as
information similarity for Danish Facebook users
<https://doi.org/10.1080/21670811.2018.1510741>, Digital Journalism, 6(8).



Bechmann, A. 2017. Keeping it real: From faces and features to social
values in deep learning algorithms on social media images
<https://scholarspace.manoa.hawaii.edu/handle/10125/41372>  HiCSS, 50.