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Offer 276 out of 584 from 18/11/21, 11:26

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty V - Institute of Psychology and Ergonomics

Research assistant - salary grade E 13 TV-L Berliner Hochschulen

part-time employment may be possible

Working field:

The DFG-funded research project "Computational modeling of the predictive active self in situated action (COMPAS)" is part of the DFG priority program "The Active Self" (SPP 2134) and is conducted in collaboration with the University of Bielefeld, CITEC (Prof. Stefan Kopp). In the first project phase, the foundations were laid to investigate the sensorimotor and cognitive processes of self-assessment of one's own control when acting in uncertain situations. In addition to experimental paradigms, a first computer-based cognitive architecture was developed to explain the interaction between sensorimotor and cognitive processes of self-assessment and action control and to make this transferable to autonomous technical systems. In the subsequent second phase (2021-2024), the empirical investigations and modeling work will be extended in the direction of multisensory processing and task-specific learning in order to understand how people organize their actions in multi-task situations and what role their continuous self-assessment plays in this. Among other things, the following activities should be carried out:
  • Planning and preperation of studies
  • Empirical investigation concerning situated interactions nd data evaluation
  • Creation of cognitive task models for multisensory processing and task-specific learning
  • Merging cognitive approaches with sensorimotor modeling approaches

Requirements:

  • A relevant, successfully completed university degree (Diplom, Master or equivalent) in Cognitive Science, Cognitive Psychology, Human Factors or similar is required.
  • Very good analytical, mathematical, and conceptual skills are essential.
  • We are looking for a person with good communicative skills and a team-oriented way of working
  • Furthermore, an independent, self-reliant, and committed way of working is required
  • As well as a very good command of written and spoken English.

Desirable:
  • Ideally, you have experience in working with cognitive architectures or with cognitive models.
  • It is advantageous if you have knowledge of concepts of mental representations and situated cognition as well as empirical methods and statistical analysis.
  • Programming experience e.g. in Python are beneficial.
  • Furthermore, experience in scientific publishing and presentation is desirable.

How to apply:

Please send your complete application with the reference number and the usual documents (combined in a single pdf file, max. 5 MB) by email to Prof. Dr. Nele Rußwinkel (nele.russwinkel@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 guaranty 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.

Technische Universität Berlin - Der Präsident - Fakultät V, Institut für Psychologie und Arbeitswissenschaft, FG Kognitive Modellierung in dynamischen Mensch-Maschine-Systemen, Prof. Dr. Nele Rußwinkel, Sekr. MAR 3-2, Marchstraße 23, 10587 Berlin