Research Position within a BMBF project on Social Digital Dynamics

Phd/doctoral Bielefeld, Germany Apply
Job
Bielefeld University, Germany
Multimodal Behavior Processing
CITEC
Inspiration 1
33619 Bielefeld
Germany
Sorry, we have no imagery here.
Sorry, we have no imagery here.
Sorry, we have no imagery here.
Sorry, we have no imagery here.
To navigate, press the arrow keys.

←	Move left
→	Move right
↑	Move up
↓	Move down
+	Zoom in
-	Zoom out
Home	Jump left by 75%
End	Jump right by 75%
Page Up	Jump up by 75%
Page Down	Jump down by 75%

Keyboard shortcuts
Map Data Map data ©2022
Map data ©2022
2000 km 
Click to toggle between metric and imperial units
Terms of Use
Report a map error

The CITEC (Center for Cognitive Interaction Technology) has the following job opening:

Research Position within a BMBF project on Social Digital Dynamics

The goal of the research project is to better understand social interaction patterns by analyzing social messaging data (e. g. WhatsApp, Facebook, etc.) and to gain and feedback valuable and actionable insights for individuals. Within the project your focus will be on the analysis of social interaction patterns. Using social network analysis or graph theoretical approaches or sequence data mining techniques, you will investigate social network data and real interactions to discover maladaptive and beneficial interaction patterns. Doing a PhD within the project will be explicitly supported.
The project takes place within the research group "Multimodal Behavior Processing" of Jun-Prof*in Dr. Hanna Drimalla (https://www.uni-bielefeld.de/fakultaeten/technische-fakultaet/arbeitsgruppen/multimodal-behavior-processing/ ). In our group, we analyze human interactions by combining machine learning, speech and image processing, graph theory, sequence mining and classical psychological paradigms. The research group is located at the Center for Cognitive Interaction Technology (CITEC), which offers an optimal working environment through well-equipped laboratories and exchange with leading research groups. The project also includes international collaborations with research partners at University of  Aarhus (Denmark) and Mount Sinai Hospital New York (USA) and cooperation with industry partners in Berlin.

 

Your Tasks

research activities (approx. 80-90 %):

• application and further development of methods (e. g., machine-learning, statistical or graph-based) for analyzing interaction behavior
• planning, conduction, and evaluation of empirical studies of social interaction
• analysis of behavioral data with classical statistical tests
• publication of the results in English journals and conference publications
• reporting and presenting progress and results to the organization and cooperation partners

teaching activities (approx. 10-20 %):

• supervision of bachelor/master theses or student projects

In the period from 01.12.2024 - 30.11.2025, the proportion of working time in the area of teaching will be 20 % (80 % research) due to the supervision of tutorials.
The employment is conductive to academic qualification.

 

Your Profile
We expect

• completed degree and/or well advanced or completed scientific university degree in computer science, a computer science-related discipline (e. g. data science, math, statistics, or cognitive science) or another field relevant to the project
• practical experience and theoretical knowledge in machine learning, graph-theory, complex data mining or statistics
• interest in computer science, data science or statistics
• interest in interdisciplinary research at the intersection of computer science and psychology
• very good programming skills (preferably in Python)
• proficiency in English (oral and written)
• analytical skills and scientific mindset
• independent, dedicated and cooperative style of work

Preferred experience and skills

• doctoral project

 

We offer

• salary depending on personal qualification up to Remuneration level 13 TV-L
• fixed-term (limited until 30.11.2025) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
• fulltime
• innovative, interdisciplinary and socially relevant field of research
• exciting and varied activities
• high degree of autonomous work
• direct and structured supervision of research work
• collegial cooperation in an interdisciplinary and international team
• internal and external training opportunities
• international cooperation
• amount of health, consulting and prevention services
• reconcilability of family and working life

 

Contact
Jun-Prof.*in Dr. Hanna Drimalla
[email protected]

Postal Address
Universität Bielefeld
Technische Fakultät
Jun-Prof.*in Dr. Hanna Drimalla
Postfach 10 01 31
33501 Bielefeld

Keywords:
fully-funded phd
Data mining
Machine Learning
Social Media
Psychology
Application Instructions
Application Procedure

We are looking forward to receiving your application. For full consideration, your complete application (cover letter, CV, certificates and transcript of records) should be received via either email (a single PDF document is required) sent to [email protected] or post (see postal address). Please mark your application with the identification code: Wiss22738. Please note that the possibility of privacy breaches and unauthorized access by third parties cannot be excluded when communicating via unencrypted e-mail. For Information on the processing of personal data click here .

Deadline: Oct 06, 2022 (Add to Calendar)
This employer is not accepting applications through MathHire.org. Please follow the instructions above and refer to MathHire.org in your application.
Contact Person
Prof. Hanna Drimalla
E-mail: log in to view e‑mail address
Posted: Sep 27, 2022
Report