Doctoral Researcher in Psychology

University of Bern Institute of Psychology

Doctoral Researcher
100%

Start: 1 September 2023 or according to agreement

The position is part of an SNF project at the Institute of Psychology (www.kog.psy.unibe.ch) aiming to investigate the interplay of mental imagery and perception. Specifically, the project investigates how eye movements during mental imagery can inform about the underlying mechanisms. The project is structured in three parts. Part one focuses on how the encoding of stimulus material affects the subsequent generation of mental images. Part two aims to investigate the origin of individual differences in eye movements during mental imagery. Part three explores how perception and mental imagery interact and how this shapes reality monitoring. The eye movements in mental imagery will be analyzed with standard and innovative methods (recurrence quantification analysis).

Tasks

The successful candidate is responsible for refining, implementing, and conducting experiments on mental imagery and visual perception, using behavioral methods and eye tracking. The obtained data will be analyzed jointly with advanced statistical methods.

Requirements
  • Excellent Master's degree in Psychology, Cognitive Science or related fields
  • Research experience in psychophysics or experimental cognitive psychology
  • High motivation, commitment, and ability to work independently
  • Experience in statistical modelling, advanced data analysis and/or programming in any language is an advantage
  • Prior experience with eye tracking is an advantage
We offer
  • A stimulating, diverse and supportive research environment
  • Opportunities for professional development and career advancement
  • Family-friendly work-environment
  • Remuneration according to the guidelines of the Swiss National Science Foundation
  • Duration of employment: 4 years
Interested?
We encourage applications from individuals of all backgrounds, including those traditionally underrepresented in science.

To apply, please send CV and contact details of at least two references, academic certificates, and a letter of motivation by 31st May 2023 at the latest to Fred Mast, PI of the project.
Apply