Stellenangebot V-67/26 | Technische Universität Berlin
Zurück zur Liste
Sprache:

Technische Universität Berlin

Faculty V - Mechanical Engineering and Transport Systems, Insitute of Psychology and Ergonomics / Cognitive Psychology and Ergonomics

Research assistant - 0.75 working time

About us

The Brains, Bots, and Minds Lab at Technische Universität Berlin, directed by Prof. Dr. Eva Wiese, is seeking a highly motivated researcher to join the team beginning in Spring 2026. Our research focuses on the cognitive neuroscience of human–robot interaction, combining EEG/ERP methods, cognitive modeling, and behavioral paradigms targeting visual attention and working memory. The successful candidate will be supervised by Prof. Dr. Eva Wiese and Dr. Tobias Feldmann-Wüstefeld within the DFG-funded project “Neural correlates of trust in human-AI interaction.” The project offers the opportunity to pursue a doctorate.

Your responsibility

  • Designing, conducting, and analyzing behavioral and neurophysiological experiments on topics, such as human–robot interaction, human–AI interaction, cognitive offloading, and social artificial intelligence
  • Developing and implementing experimental paradigms using EEG/ERP, eye-tracking, and computational or cognitive modeling
  • Collaborating with researchers across different disciplines including cognitive neuroscience, AI, robotics, and human–computer interaction
  • Preparing, writing, and publishing scientific articles in peer-reviewed journals
  • Presenting research findings at international conferences
  • Supporting general lab activities, data management, and open-science practices

Your profile

  • Successfully completed academic university degree (Diplom, Master or equivalent) in psychology, cognitive or social neurosciences, computational neurosciences or related areas
  • Experience with programming experiments (PsychoPy or Matlab PsychtoolBox)
  • Statistical analysis of behavioral and neuroscientific data in R (or equivalent)
  • Experience with collecting and analyzing EEG data
  • Proven ability to do independent and responsible scientific work in accordance with ethical guidelines
  • Experience with collecting and analyzing eye tracking data
  • Excellent scientific writing and presentation skills
  • Very good knowledge of English
  • Willingness to work in an international and interdisciplinary team is a plus
  • Experience with obtaining ethics approval is a plus
  • Strong motivation to conduct empirical research desirable
  • Excellent teamworking ability desirable
  • Readiness to implement open science desirable
  • Strong interest in research on human-machine interaction desirable

How to apply

Please send your application with the reference number and the usual documents only by email (combined in a single pdf file) to Prof. Dr. Eva Wiese (sekretariat@kke.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guarantee for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.

Facts

Published 19.02.2026
Number of employees rund 7000
Category Research assistant
Location Germany, Berlin, Charlottenburg
Area of responsibility Research (academic)
Start date (earliest) Earliest possible
Duration for three years
Full/Part-time 0.75 working time
Remuneration Salary grade 13 TV-L Berliner Hochschulen
Homepage https://www.tu.berlin/en/kke

Requirements

Qualification Master, Diplom or equivalent
Field of study Psychology, cognitive or social neurosciences, computational neurosciences

Contact

Reference number V-67/26
Contact person Prof. Dr. Eva Wiese
Contact email sekretariat@kke.tu-berlin.de

Apply

Application deadline 06.03.2026
Reference number V-67/26
By post

Technische Universität Berlin
- Die Präsidentin -
ausschließlich per E-Mail

By email sekretariat@kke.tu-berlin.de