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  • Deprecated function: Return type of DatabaseStatementEmpty::current() should either be compatible with Iterator::current(): mixed, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 2346 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/database.inc).
  • Deprecated function: Return type of DatabaseStatementEmpty::next() should either be compatible with Iterator::next(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 2346 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/database.inc).
  • Deprecated function: Return type of DatabaseStatementEmpty::key() should either be compatible with Iterator::key(): mixed, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 2346 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/database.inc).
  • Deprecated function: Return type of DatabaseStatementEmpty::valid() should either be compatible with Iterator::valid(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 2346 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/database.inc).
  • Deprecated function: Return type of DatabaseStatementEmpty::rewind() should either be compatible with Iterator::rewind(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 2346 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/database.inc).
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  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1865 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/query.inc).
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  • Deprecated function: Creation of dynamic property DatabaseCondition::$stringVersion is deprecated in DatabaseCondition->compile() (line 1865 of /homepages/32/d183506926/htdocs/MyDiss/dr722/includes/database/query.inc).

1 Post-Doc position (m/f) in Computational Social Science (TV-L 13, 100%, 4 years)

The GESIS - Leibniz Institute for the Social Sciences is an internationally active research and service institution that is part of the Leibniz Association in Germany. It is funded by the Federal Ministry of Education and Research (BMBF) and the Federal States.
Our research offices in Cologne are seeking candidates to fill
1 Post-Doc position (m/f) in Computational Social
Science
(TV-L 13, 100%, 4 years)

The department for Computational Social Science is looking for a candidate with a background in social science, psychology, information science, computer science, science & technology studies, or related fields. Good programming skills (especially mining and analysis of web data/ social media/ social streams) and skills in statistics are required. Additionally, experiences in at least one of the following fields are desirable:
Empirical methods in social science
Data management
Knowledge representation, linked data, semantic web
Social network analysis
Data visualisation
Web usability, user studies
Scientometrics / bibliometrics
The candidate will be involved in establishing new services for social scientists (e.g. research datasets, tools, tutorials) and is expected to contribute teaching units to GESIS events like summer schools, winter symposia etc.
The candidate should conduct cutting-edge research and develop services in one or several of the following domains:
New research data for the social sciences
Social media analysis and methodology, digital methods
Web-user studies, social media usage, social media demographics
Scholarly communication, open science, science 2.0 or altmetrics
Social Semantic Web, social tagging
Related topics in Web Science / Computational Social Science
The candidate should have completed (or should soon complete) a PhD. The ideal candidate has a demonstrated record of independently designing and conducting research and publishing results in competitive conferences and journals. The open position is intended to serve as a platform for promising researchers (i) to strengthen and develop their own research profile, (ii) to conduct and publish highly competitive research, and (iii) to acquire research grants.
GESIS offers an exciting environment for interdisciplinary and competitive research on the intersection between computer science and social sciences. GESIS is a research and service organization that provides a research-driven infrastructure for the social sciences and closely collaborates with computer science and social science departments at top universities in Europe and Northern America. Strong candidates can qualify for extensive allowances for research visits and collaborations with partnering universities. Cologne is a culturally diverse and vibrant city (the 4th largest city in Germany with about 1 Mio. people) in the heart of Europe attracting young and creative people from all over the world.
GESIS guarantees that guidelines regarding employment laws for the disabled and handicapped as well as laws and regulations governing part-time employment will be observed. GESIS is an equal opportunity employer and is certified by the European work & family audit.
For more information and details, please feel free
to contact Dr. Katrin Weller at
katrin.weller@gesis.org
or
Prof. Dr. Markus Strohmaier at
strohmaier@uni-koblenz.de or
markus.strohmaier@gesis.org.
We only proves online applications. Please apply
here until the position is filled.
The key number is: CSS-13

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