Senior Researcher (Postdoc) in Social Data Science

3 Apr 2024
Job Information

Organisation/Company

GESIS - Leibniz Institut für Sozialwissenschaften

Department

Cologne/Mannheim

Research Field

Sociology

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

24 Apr 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

39,5

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

CSS-99

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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 at the earliest possible date the Department Computational Social Science (CSS), Team Designed Digital Data located in Cologne, is looking for a

 

Senior Researcher (Postdoc)

in Social Data Science

(Salary group 13 TV-L, working time up to 100 %, initially for 4 years with possible tenure)

 

The interdisciplinary and internationally constituted department Computational Social Science (CSS)  is dedicated to the study of sociocultural phenomena and digital society. For this purpose, we are using novel approaches to data collection (e.g., web scraping, web tracking, smartphone apps) as well as different types of analysis methods (e.g., machine learning, network analysis, text and data mining), and standards (reproducible analysis methods).

 

The team Designed Digital Data opens up digital behavioral data by developing open-source research software for smartphone-based data collections and web tracking. The team also conducts data collections for the social science community.

 

Your tasks will be:

• Establishing and operating services and data products for the social sciences, in particular in the area of (designed) digital behavioral data from research tools such as web tracking or mobile research software
• Building pipelines for collecting, processing, annotating, and analyzing digital behavioral data such as web tracking or mobile sensor data
• Research in the field of digital behavioral data and online behavior, publication and presentation of research results
• Monitoring and adopting trends in research software development for the social sciences

Your profile:

• Completed doctoral degree in computer science, data science or social sciences
• Internationally visible publications in the fields of digital behavioral data, computational social science and similar disciplines and interest in social science research questions
• Expertise on building pipelines for collecting, processing, annotating and analyzing digital behavioral data, knowledge of relational or non-relational databases
• Very good English skills (spoken and written)
• Competences in automated content analysis, mobile designs, open science or (intensive-) longitudinal data analysis are a plus

Our Benefits:

• An international and interdisciplinary working environment that will also support you in developing your research profile
• Flexible working hours and the possibility of up to 60% mobile working within Germany
• Generous support for your pension provision as a direct insurance policy
• Very good conditions for reconciling work and family life, e.g., subsidies for childcare for children who have not yet attained the age of compulsory schooling
• Holistic company health management and discounted participation in the university's sports program
• Promotion of your skills through further training measures

 

For further information concerning the tasks please contact Dr. Lukas Otto via E-Mail . If you have questions about the application process, please contact Franca Tosetti via E-Mail .

 

Interested?

Please apply via our Online-application portal until 24.04.2024.

Our reference number is: CSS-99.

Requirements

Research Field

Sociology

Education Level

PhD or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

GESIS - Leibniz-Institut für Sozialwissenschaften

Country

Germany

City

Cologne

Postal Code

50667

Street

Unter Sachsenhausen 6-8

Where to apply

Website

https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/37043/Senior…

Contact

City

Cologne

Website

http://www.gesis.org/home/

Street

Unter Sachsenhausen 6-8

Postal Code

50667

E-Mail

[email protected]

STATUS: EXPIRED