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The Faculty of Technology has the following job opening:
Research Position (m/f/d) (Predoc or Postdoc) in Human-Centered Artificial Intelligence
ID: Wiss25528
  • starting: as soon as possible
  • fulltime
  • salary depends on pers. skills/qualification up to Remuneration level 14 TV-L
  • fixed-term
The Human-Centered Artificial Intelligence Lab seeks motivated candidates with a background in Computer Science (or a related discipline) for a fully funded researcher position (PhD/PostDoc) for 4 years. Our interdisciplinary team develops AI methods to analyze social signals, such as facial expressions, gaze, vocal cues, and heart rate, to improve mental health and enhance human – AI interaction. Collaborating with psychological and medical institutes worldwide, we use advanced machine learning, audio, and image processing techniques to support clinical diagnostics and behavioral research. Committed to AI fairness and explainability, we aim to create algorithms and tools that are both scientifically robust and ethically sound.

More information about the lab can be found here: Human-Centered Artificial Intelligence

Your Tasks
Research activities (70 %):
  • developing machine learning methods for analyzing interaction behavior
  • applying and/or developing multimodal algorithm for facial, vocal and gaze analysis
  • literature research at the intersection of computerscience and psychology
  • planning, conduction, and evaluation of empirical studies with human participants
  • collaboration with clinical research partners

If the position is offered to a postdoctoral researcher:
  • complex research tasks, including the development of an independent research agenda (60 %)
  • contribution to the preparation of funding applications (third-party funding management) (10 %)
 

Teaching duties (25 %)

  • teaching (up to 4 LVS) and supervision of bachelor/master theses or student projects


Other activities (5 %):

  • participating in administration and organization of the working group


Employment is conducive to scientific qualification and provides the opportunity for further academic development.

Your Profile
We expect
  • scientific university degree (completed or advanced) in computer science or a computer science-related discipline (e. g. data science, math or cognitive science)
  • additionally PhD for the postdoctoral position
  • practical experience and theoretical knowledge in machine learning, complex data mining or statistics
  • interest and passion for 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, self-reliant and dedicated style of work

We offer
  • salary depends on pers. skills/qualification up to Remuneration level 14 TV-L
  • fixed-term (4 years) (§ 2 (1) of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of the contract may differ in individual cases)
  • fulltime
  • internal and external training opportunities
  • variety of health consulting and prevention services
  • reconcilability of family and work
  • engaging and diverse research challenges
  • strong personalized supervision
  • a collaborative environment with regular mentorship
  • access to cutting-edge technology and resources
  • rich opportunities for international collaboration and conference participation
  • a vibrant academic setting at the Center of Interaction Technology (CITEC)

Application Procedure

We are looking forward to receiving your application. Interested candidates should submit a cover letter describing their motivation, their academic CV, their transcript of records, and contact details for two references. To apply, please preferably use our online form via the application button below. 

application deadline: 22.04.2026

Contact
Susanne Strunk
+49 521 106-6891
susanne.strunk@uni-bielefeld.de

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