Research AssociateApplications Closed

Prof. Shu-Chen Li

TU Dresden, Germany
Apply by Feb 3, 2024

Application deadline

Feb 3, 2024

Job

Job location

Prof. Shu-Chen Li

Geocoding

TU Dresden, Germany

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Feb 3, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Prof. Shu-Chen Li

Geocoding

TU Dresden, Germany

Geocoding in progress.

Source: legacy

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Job Description

The Chair of Lifespan Developmental Neuroscience investigates neurocognitive mechanisms underlying perceptual, cognitive, and motivational development across the lifespan. The main themes of our research are neurofunctional mechanisms underlying lifespan development of episodic and spatial memory, cognitive control, reward processing, decision making, perception and action. We also pursue applied research to study effects of behavioral intervention, non-invasive brain stimulation, or digital technologies in enhancing functional plasticity for individuals of difference ages. We utilize a broad range of neurocognitive (e.g., EEG, fNIRs, fMRI, tDCS) and computational methods. The here announced position is embedded in a newly established research group funded by the DFG (FOR5429), with a focus on modulating brain networks for memory and learning by using focalized transcranial electrical stimulation (tES). The subproject with which this position is associated will study effects of focalized tES on value-based sequential learning at the behavioral and brain levels in adults. The data collection for this subproject will mainly be carried out at the Berlin site (Center for Cognitive Neuroscience, FU Berlin).

Requirements

  • University and PhD degree (e.g. Dr. rer. nat. or PhD) in Psychology
  • Neuroscience or related fields
  • experiences with cognitive neuroscience methods (i.e.
  • fMRI)
  • excellent language skills in English. Language skills in German is not required but will be welcomed. Prior experience with tES is not required but will be preferred. Interests and experiences in computational neuroscience will be highly welcomed.