The Cognitive Modelling & Decision Neuroscience (CMDN) Lab at the University of Hamburg

in Germany is seeking applicants for the following open post-doc position:

The position is financed by the project Integration of dynamic belief updating across contexts and psychopathology (funding: DFG). This project is part of the Cognitive Modelling & Decision Neuroscience Lab (PI: Prof. Dr. Sebastian Gluth) and the DFG Research Unit 5389 on Contextual influences on dynamic belief updating in volatile environments: Basic mechanisms and clinical implications (speaker: Prof. Dr. Tania Lincoln). The aim of the project is to understand the modulation of dynamic belief updating by integrating behavioral, psychometric, psychophysiological, and neural data collected in different projects of the research unit. The most relevant methods are cognitive modeling, dimensionality reduction analyses (e.g., factor analysis, PCA, structural equation models), pupillometry, eye tracking, and EEG.

Beyond this project, research in the CMDN Lab is concerned with the neurobiological and psychological principles of decision making and its interplay with learning, memory, and attention. Our international research team has a strong focus on combining cognitive modeling with physiological and neuroimaging data to better understand the computations from which behavioral responses and brain signals emerge. To achieve this goal, the CMDN Lab is equipped with or has access to various research facilities, including two 3T scanners for fMRI, conventional and hyperscanning EEG systems, multiple eye trackers (stationary and mobile), behavioral labs, and high-performance computing systems.

We expect the candidate to hold a very good degree (Master’s, Diploma) in psychology, neuroscience, computer science, behavioral economics, or related fields, and to have conducted a very good PhD project (including submitted and ideally already published manuscripts). The doctorate must be completed or at the final stage. Relevant research experience, and in particular, programming experience (e.g., MATLAB, Python, R), is a critical asset. Furthermore, good knowledge of one or more of the following research fields is desired: cognitive or mathematical psychology, cognitive neuroscience, neuroeconomics, behavioral economics. 

Experience with advanced statistical methods (esp. cognitive modeling, dimensionality reduction), neuroscientific methods (esp. EEG, eye tracking), and machine learning are additional assets. High proficiency in both verbal and written English is required.

Finally, the candidate should be highly committed and able to work independently. For further information, send an email to sebastian.gluth@uni-hamburg.de or consult our website at:

Link to official job ad: https://www.unihamburg.de/stellenangebote/ausschreibung.html?jobID=870e2fb204788f5f4dae9452c74cc9dd3cbfd3d5

Please note that you can only apply via the online portal (click on “Apply” on these webpages).