2 Postdocs / Senior Researchers in the field of Digital Behavioral Research
☞ GESIS – Leibniz-Institut für Sozialwissenschaften...
看过: 137
更新日: 07-10-2024
位置: Cologne North Rhine-Westphalia
类别: 信息技术
行业:
工作内容
GESIS – Leibniz Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
Starting on January 1st2022 our Department Computational Social Science (CSS), located in Cologne, is looking for
GESIS is strategically realigning and growing: Digital behavioral data will be a focus of our activities in the future. The goal across all GESIS departments is to build new tools and infrastructures to support the collection, processing, analysis and archiving of digital behavioral data, and to conduct research on societally relevant questions with new methods and new types of data.
The interdisciplinary and international department Computational Social Science (CSS) is dedicated to the study of socio-cultural phenomena and digital society. For this purpose, we are using novel approaches to data collection (e.g., web scraping, web tracking, smartphone apps) and different types of methods for analysis (e.g., machine learning, network analysis, text and data mining).
The advertised positions will be part of a new team with a focus on Digital Behavioral Research, in particular the establishment of an app-based infrastructure for the collection of survey data and digital behavioral data. The team will collaborate closely with the GESIS Department Knowledge Technologies for the Social Sciences (KTS) that is responsible for the technical infrastructure.
Your tasks will be:
- Establishment and operation of services for the social sciences, in particular in the field of smartphone apps
- Conceptualization and implementation of app-based data collections combining mobile surveys and digital behavioral data
- Ensuring and researching data quality with regard to sample characteristics and biases
- Research in the field of digital behavioral data, presentation and publication of research results
- Acquisition of third-party funding focused on research and research-based infrastructure
Your profile:
- Ph.D. in sociology, psychology, political science, communication science, statistics, computer science or a related discipline
- Internationally visible publications in Computational Social Science or substantive/methodological social science research, preferably with a focus on digital behavioral data, smartphone/sensor based data collection, data linking or survey methodology
- Expertise in quantitative data analysis and programming (ideally in R or Python)
- Very good English skills (spoken and written)
- Experiences in Open Science, research infrastructures, organizational roles or knowledge of German are a plus
For further information concerning the position and the CSS department, please contact Dr. Katrin Weller via E-Mail. If you have questions about the application process, please contact Anna Klein via E-Mail.
Have we aroused your interest?
Please apply via our our online application portal -until the position is filled (at least untilSeptember 26th2021).
Our reference number is: CSS-65
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. As an infrastructure institution, we promote social science research and cooperate with renowned international research institutes.
GESIS supports your career development. We offer a wide range of career opportunities in an attractive and rewarding work environment that allows you to carry out your tasks in a creative and autonomous manner. You will work in an international environment in the heart of Cologne and benefit from our flexible working conditions as well as our extensive internal and external networks.
GESIS is an equal opportunity employer and adheres to disability regulations.
We are a family-friendly employer and have been certified by the audit Work&Family since 2010.
The position is available on a full-time or part-time basis.
最后期限: 21-11-2024
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