1 Postdoc (m/f/d) "Socio-epistemic networks: Modelling historical knowledge processes" (The Max Planck Institute for the History of Science, Berlin)

Historian of knowledge in the contemporary period (m/f/d) wanted

Arbeitgeber
Max-Planck-Institute for the History of Science (Boltzmannstraße 22)
Arbeitstelle
Boltzmannstraße 22
Gefördert durch
BMBF project (Grant No. 01 UG2131)
PLZ
14195
Ort
Berlin
Land
Deutschland
Vom - Bis
01.09.2022 - 01.09.2024
Bewerbungsschluss
10.06.2022
Von
Shadiye Leather-Barrow, MPI für Wissenschaftsgeschichte, Max-Planck-Gesellschaft

The Max Planck Institute for the History of Science Department I (Structural Changes in Systems of Knowledge), Director: Prof. Jürgen Renn, is seeking to employ a

Historian of knowledge in the contemporary period (m/f/d)

Historian of knowledge in the contemporary period (m/f/d) wanted

The Max Planck Institute for the History of Science Department I (Structural Changes in Systems of Knowledge), Director: Prof. Jürgen Renn, is seeking to employ a Historian of knowledge in the contemporary period (m/f/d) from September 1st, 2022 for a maximum of two years, with a contract according to the TVöD-Bund pay scale (E13) for research in the BMBF project (Grant No. 01 UG2131): Socio-epistemic networks: Modelling historical knowledge processes

We are aiming at continuing the project after the funding period. Therefore, there is the possibility of extension. The research project aims to model historical developments of knowledge systems by combining the analysis of semantic changes with their coupling and feedback to sociological and institutional changes. The successful candidate will work on applying methods for the historical time-dependent complex multilayer networks to historical cases of her/his choice. To complement the existing research team, the successful candidate should have a strong focus on the history of modern science, a robust knowledge of network theory and applications, an interest in social and semantic modelling and their historiographical implications. Ideally, the candidate should be interested in developing a project on the history of computer-guided modelling.

Requirements:

PhD in the history of science, computer science or related fields; the PhD should have been completed by the beginning of the project.
Experience with the application of network analysis to historical research
Robust knowledge of network theory and applications
Interest in interdisciplinary research at the intersection of history, computer science, and modelling.

We offer:

100% TVöD (Bund) E13 for a maximum of two years
Creative work environment in a world class research institution
Independent research in an international team

The Max Planck Society aims to increase the proportion of women in those areas in which they are currently underrepresented. We therefore specifically encourage women to apply. The Max Planck Society is committed to employing more disabled individuals, and applications from disabled people are especially welcome.

The application should contain a summary of the PhD project, a list with at least one referee who will be contacted if the candidate is shortlisted, a CV including a selection of publications and a short letter of motivation.

Candidates are requested to submit their applications via our online portal:

https://recruitment.mpiwg-berlin.mpg.de/position/22347793

Only submissions via this portal will be accepted.

The deadline for submission is June 10th, 2022 (23:59 h CET).
Interviews will be held from June 27th to July 1st.

For more information on the project, see https://modelsen.mpiwg-berlin.mpg.de/de/ and please contact: Dirk Wintergrün and Malte Vogl, (modelsen@mpiwg-berlin.mpg.de). For questions about administrative matters or the application portal, please email the office of Department 1 (rennoffice@mpiwg-berlin.mpg.de).
Max Planck Institute for the History of Science
Boltzmannstrasse 22
14195 Berlin
Germany

Kontakt

Dirk Wintergrün and Malte Vogl, (modelsen@mpiwg-berlin.mpg.de) about the project. For administrative questions: rennoffice@mpiwg-berlin.mpg.de

https://modelsen.mpiwg-berlin.mpg.de/de/
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Englisch, Deutsch
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