Postdoctoral Project: Describing knowledge-augmented face perception
Part of research project: Knowledge-augmented face perception
Description of the postdoctoral project
Face perception and categorization is fundamental to social interactions. In humans, input from facial features is integrated with top-down influences from other cognitive domains, such as expectations, memories and contextual knowledge. In contrast to human perception, automatic systems of face processing are typically based purely on bottom-up information without considering factors as prior knowledge. The aim of this project is therefore to bridge the gap between human and synthetic face processing by integrating top-down components typical for human perception into synthetic systems. The results of experiments involving human subjects in combination with video recordings will be used in deep learning training procedures aiming at the development of computational models.
Project start date: October 1, 2019
Please visit the website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.
Candidates must hold a University degree and PhD in Psychology or related fields (Cognitive Science, Cognitive neuroscience) and should have a proven background in the following specifications:
- Training in experimental methods
- Familiarity with EEG methods
- Programming skills and experiences in state-of-the-art statistical analysis
- Scientific track record
- Interest (and ideally, research experience) in face processing, social cognition
- Good academic writing and presentation skills
- Willingness and ability to work in interdisciplinary teams
- Strong interpersonal and organizational skill