Job posting - Postdoctoral Researcher in Munich (Consequences of Artificial Intelligence for Urban Societies)

MN
Marcel Neunhoeffer
Thu, Jul 22, 2021 9:47 AM

Dear EPSA community,

The Chair for Statistics and Data Science in Social Sciences and the Humanities (SODA) <https://www.soda.statistik.uni-muenchen.de/about_us/index.html https://www.soda.statistik.uni-muenchen.de/about_us/index.html>, headed by Prof. Dr. Frauke Kreuter <https://www.soda.statistik.uni-muenchen.de/people/professors/kreuter1/index.html https://www.soda.statistik.uni-muenchen.de/people/professors/kreuter1/index.html>, at the Department of Statistics at Ludwig-Maximilians-Universität München (Germany) is seeking a

Postdoctoral Researcher (100% TV-L E13; the salary range for a 100% E13 postdoc is €4,074.30-€5,872.94)

for a period of two years with the option of extension.

The position is funded through the grant “CAIUS – Consequences of Artificial Intelligence for Urban Societies" <https://www.mzes.uni-mannheim.de/d7/en/projects/caius-consequences-of-ai-based-decision-making-for-urban-societies https://www.mzes.uni-mannheim.de/d7/en/projects/caius-consequences-of-ai-based-decision-making-for-urban-societies>, awarded by the Volkswagen Foundation <http://portal.volkswagenstiftung.de/search/projectDetails.do?ref=98555 http://portal.volkswagenstiftung.de/search/projectDetails.do?ref=98555>. In this project, a multi-disciplinary team of social scientists and computer scientists from three institutions (University of Mannheim, HdM Stuttgart, and LMU Munich) studies whether and how the increasing use of artificial intelligence (or automated decision-making) systems in the public space affects social inequality in urban contexts. To this end, we draw on agent-based modelling as a social simulation technique that allows us to model intelligent technical and social agents and their interactions within social/urban environments. The project outputs should provide both evidence on concrete use cases as well as a general framework that is applicable in various contexts.

The role of the candidate is to take a leading role in the project, for example in the writing of publications and reports and in the planning of research activities. This includes contributions to a social scientifically grounded modelling of social agents and their interactions, the development of use cases, and the construction of context-specific conceptualization of “impacts” and social inequality, among others. The candidate will coordinate research activities between social sciences and computer science and participate in the mentoring of the PhD candidates from the social sciences.

Working hours:

40,1 h / week

Application deadline:

31 July 2021

Beginning:

as soon as possible

Requirements:

·      Close to finishing / holds a PhD in the social sciences (sociology, political science, and related fields)

·      Demonstrated ability for cutting-edge research on social inequality, ideally in connection to urban societies and/or digitalization and strong background in quantitative methods

·      Fluent in English (written / spoken)

·      Experience with survey data collection, agent-based modeling, or working in interdisciplinary teams is a plus

Your workplace is centrally located in Munich and is easily accessible by public transport. Remote work is possible. We offer you an interesting and responsible job with good opportunities for further training and development. Severely disabled persons will be given preference if their suitability is otherwise essentially equal. If you have any questions regarding the content of the work, please do not hesitate to contact Prof. Dr. Frauke Kreuter by email (frauke.kreuter@stat.uni-muenchen.de mailto:frauke.kreuter@stat.uni-muenchen.de). We review applications on a rolling basis. Please send your application documents as a single PDF file to: sdssg@stat.uni-muenchen.de mailto:sdssg@stat.uni-muenchen.de


Marcel Neunhoeffer, M.A.
Research Associate

Ludwig-Maximilians-Universität München

Department of Statistics
Statistics and Data Science for the Social Sciences and Humanities
Ludwigstrasse 33 | D-80539 Munich
Germany

Email: marcel.neunhoeffer@stat.uni-muenchen.de mailto:marcel.neunhoeffer@stat.uni-muenchen.de

Web: marcel-neunhoeffer.com http://marcel-neunhoeffer.com/

Dear EPSA community, The Chair for Statistics and Data Science in Social Sciences and the Humanities (SODA) <https://www.soda.statistik.uni-muenchen.de/about_us/index.html <https://www.soda.statistik.uni-muenchen.de/about_us/index.html>>, headed by Prof. Dr. Frauke Kreuter <https://www.soda.statistik.uni-muenchen.de/people/professors/kreuter1/index.html <https://www.soda.statistik.uni-muenchen.de/people/professors/kreuter1/index.html>>, at the Department of Statistics at Ludwig-Maximilians-Universität München (Germany) is seeking a Postdoctoral Researcher (100% TV-L E13; the salary range for a 100% E13 postdoc is €4,074.30-€5,872.94) for a period of two years with the option of extension. The position is funded through the grant “CAIUS – Consequences of Artificial Intelligence for Urban Societies" <https://www.mzes.uni-mannheim.de/d7/en/projects/caius-consequences-of-ai-based-decision-making-for-urban-societies <https://www.mzes.uni-mannheim.de/d7/en/projects/caius-consequences-of-ai-based-decision-making-for-urban-societies>>, awarded by the Volkswagen Foundation <http://portal.volkswagenstiftung.de/search/projectDetails.do?ref=98555 <http://portal.volkswagenstiftung.de/search/projectDetails.do?ref=98555>>. In this project, a multi-disciplinary team of social scientists and computer scientists from three institutions (University of Mannheim, HdM Stuttgart, and LMU Munich) studies whether and how the increasing use of artificial intelligence (or automated decision-making) systems in the public space affects social inequality in urban contexts. To this end, we draw on agent-based modelling as a social simulation technique that allows us to model intelligent technical and social agents and their interactions within social/urban environments. The project outputs should provide both evidence on concrete use cases as well as a general framework that is applicable in various contexts. The role of the candidate is to take a leading role in the project, for example in the writing of publications and reports and in the planning of research activities. This includes contributions to a social scientifically grounded modelling of social agents and their interactions, the development of use cases, and the construction of context-specific conceptualization of “impacts” and social inequality, among others. The candidate will coordinate research activities between social sciences and computer science and participate in the mentoring of the PhD candidates from the social sciences. Working hours: 40,1 h / week Application deadline: 31 July 2021 Beginning: as soon as possible Requirements: · Close to finishing / holds a PhD in the social sciences (sociology, political science, and related fields) · Demonstrated ability for cutting-edge research on social inequality, ideally in connection to urban societies and/or digitalization and strong background in quantitative methods · Fluent in English (written / spoken) · Experience with survey data collection, agent-based modeling, or working in interdisciplinary teams is a plus Your workplace is centrally located in Munich and is easily accessible by public transport. Remote work is possible. We offer you an interesting and responsible job with good opportunities for further training and development. Severely disabled persons will be given preference if their suitability is otherwise essentially equal. If you have any questions regarding the content of the work, please do not hesitate to contact Prof. Dr. Frauke Kreuter by email (frauke.kreuter@stat.uni-muenchen.de <mailto:frauke.kreuter@stat.uni-muenchen.de>). We review applications on a rolling basis. Please send your application documents as a single PDF file to: sdssg@stat.uni-muenchen.de <mailto:sdssg@stat.uni-muenchen.de> — Marcel Neunhoeffer, M.A. Research Associate Ludwig-Maximilians-Universität München Department of Statistics Statistics and Data Science for the Social Sciences and Humanities Ludwigstrasse 33 | D-80539 Munich Germany Email: marcel.neunhoeffer@stat.uni-muenchen.de <mailto:marcel.neunhoeffer@stat.uni-muenchen.de> Web: marcel-neunhoeffer.com <http://marcel-neunhoeffer.com/>