[Commlist] job: research data and methods for digitaliziation research (predoc/postdoc; 75% working time; five years)

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The Center for Advanced Internet Studies (CAIS) in Bochum (Germany)

is offering a position as Predoc or Postdoc Researcher (f/m/d),

for the department „RESEARCH DATA & METHODS“

(Positions to be filled as of now; 75% working time; five years 
contract; TVL-13)

https://www.cais.nrw/en/job-posting-researcher-rdm/ 
<https://www.cais.nrw/en/job-posting-researcher-rdm/>

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The Center for Advanced Internet Studies (CAIS) is in the process of 
becoming a central institute for interdisciplinary digitization 
research. It examines the political, economic, social and cultural 
effects of the digital transformation and contributes scientific 
findings to current public debates. Research at CAIS addresses the 
opportunities and challenges of digitization in all its facets and aims 
to shape a digital society in the interests of the people. This holistic 
socio-technical approach enables a scientific examination of the digital 
transformation from application-oriented questions to the fundamental 
issues of digital ethics. A team of experienced and young researchers 
from different disciplines works in Bochum on different research 
programs and inspires public conversations. CAIS is supported by the 
universities of Bochum, Düsseldorf, Duisburg-Essen and Münster as well 
as the Grimme Institute in Marl.

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TASK AREA

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The Research Data & Methods department supports researchers at CAIS in 
all phases of the research process (study planning, data collection, 
processing, analysis, and publication), and also conducts its own 
research, e.g., on issues of data access, research ethics, data 
management, and open science in digitization research.

Your tasks are:

* Developing concepts for using new types of data (e.g. from social 
media platforms or sensors) for digitalization research

* Counseling on / support for using external tools for data collection, 
preprocessing and analysis (e.g. using Git/GitHub, APIs, Jupyter Notebooks)

* Teaching and instruction targeted (mainly) at CAIS researchers

* Preparing guidelines/best practice documents for the different 
research phases in digitization research

* Creating reusable resources (e.g., via Jupyter Notebooks) for 
collecting, analyzing, or preparing digital behavioral data (e.g., 
social media content via API harvesting)

* Conducting own research on topics in the area of digital behavioral 
data (there is the possibility of working on a PhD thesis, possibly with 
external supervision).

* Collaborating with members of the team on publications and project 
proposals

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We are looking for Applicants with the following profile

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* Completed university degree (master’s/diploma) in a subject relevant 
to digitization research, e.g. computer science, information science, 
communication science, political science, sociology, psychology

* Very good knowledge in the field of computational methods and data 
science (for example, experience with machine learning or natural 
language processing)

* Very good programming skills, preferably in Python or R

* Experience with (relational) databases is desirable

* Experience with social science data and methods (e.g., surveys or 
interviews) is a plus

* Interest in Open Science and Open Methodology

* Very good command of written and spoken English

* At least first knowledge of German and the willingness to actively 
improve it.

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Addtional Information

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Additional information can be found at: 
https://www.cais.nrw/en/job-posting-researcher-rdm/ 
<https://www.cais.nrw/en/job-posting-researcher-rdm/>

Submission deadline: 17.12.2021

For organizational or content-related queries, please also contact 
(bewerbung /at/ cais.nrw) <mailto:(bewerbung /at/ cais.nrw)>.

We actively promote equality for all people! We welcome applications 
from people of all ages, genders and cultural and social backgrounds. 
Applications from people from underrepresented groups are explicitly 
encouraged. In the case of equal suitability and ability, applications 
from recognized severely disabled persons or persons of equal status 
will be given preferential consideration.

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