[Commlist] Postdoc on AI and Local Journalism

tl; dr: postdoc (1yr) on AI and local journalism --> https://bit.ly/2wbJnvh

We are looking to hire a postdoc to harness the possibilities afforded 
by AI to help local journalism cope with the challenges journalism is 
going through (i.e., decline of trust in institutional journalism, the 
competitive pressure of free online news, and the emergence of 
decentralized gate-keeping through social media and news aggregators), 
while taking the journalistic norms and values that are central to its 
role in democratic societies as a central design principle.

The project is an interdisciplinary, international cooperation between 
Neil Thurman (LMU Munich), a renowned expert on the adoption and 
implications of computational journalism; Helle Sjovaag (U of 
Stavanger), an expert on journalism and the media industry; Natali 
Helberger (U of Amsterdam) an expert on media law and value sensitive 
design; Mario Haim (U of Leipzig), an expert in communication science 
and computational journalism; Antske Fokkens (VU Amsterdam), an 
associate professor of computational linguistics; and Wouter van 
Atteveldt (VU Amsterdam), an associate professor of communication 
science and computational communication science.

Together with this team of PIs, the tasks of the postdoc will be to:
- Help identify the most promising applications of AI in the local 
journalistic process, in cooperation with a local journalism organization.
- Map the use of AI in journalism, with a focus on local journalism.
- Help preparing a funding application.
- Help preparing a journal publication in a high ranking academic journal.

Depending on the successful candidate’s preference, the post can be 
based at: LMU Munich (with Neil Thurman), the University of Amsterdam 
(with Natali Helberger), the Vrije Universiteit Amsterdam (with Wouter 
van Atteveldt), or Leipzig University (with Mario Haim).

The successful candidate will have:
- A degree and/or PhD in journalism, media studies, human-computer 
interaction, or other related discipline.
- Strong affinity with the subject matter.
- Some experience with ethnographic and qualitative research methods.
- Preferably: some experience of drafting funding applications.
- Good communication and writing skills.
- Good organization skills.
- Enthusiasm for, and ideally experience of, working in a highly 
interdisciplinary (computer science, journalism studies, communication 
science, and law) and international setting.
- Fluency in English, and preferably another European language (German, 
Dutch, Norwegian).
- Ability to work independently and yet be a team player.
- Note: the position may involve travelling.

Full-time, fixed term (12 months) position based at LMU Munich, the 
University of Amsterdam, the Vrije Universiteit Amsterdam or Leipzig 
University. Starting October 2020. If based at LMU Munich or Leipzig 
University salary scale E 13 TV-L (€3837 - €5622 per month depending on 
experience). If based at the University of Amsterdam or Vrije 
Universiteit Amsterdam salary scale 10-11 (€2709 - €4911 depending on 
experience).

Your application (in English only) should include:
- a motivation letter (including whether you would want to be based at 
LMU Munich, the University of Amsterdam, the Vrije Universiteit 
Amsterdam or Leipzig University)
- your CV with publication list
- the names and contact details of two references
- copy of degree certificates
- transcript of grades

Please also include a link to sole or first authored publication/s and 
your Master’s or PhD thesis. Complete applications should be submitted 
as a single PDF document to:
(ai-in-local-journalism /at/ haim.it) <mailto:(ai-in-local-journalism /at/ haim.it)> 
by 15 May 2020.

Also see one of the "official" job ads:
- Leipzig: 
https://www.sozphil.uni-leipzig.de/institut-fuer-kommunikations-und-medienwissenschaft/newsdetail/artikel/postdoc-position-on-a-project-about-the-potential-for-ai-in-local-journalism-2020-03-16/
- Munich: 
https://www.uni-muenchen.de/aktuelles/stellenangebote/wissenschaft/20200313111017.html


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