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Research Associate in Cognitive Neuroscience

vor 2 Monaten


Dresden, Sachsen, Deutschland Sachsen Vollzeit

The International Research Training Group (IRTG) 2773, focusing on the "Risks and Pathomechanisms of Affective Disorders," is seeking a dedicated individual for the role of

Research Associate (f/m/x)

This position (75%, E13 according to the Collective Agreement for the Public Service of the States (TV-L)) is available and limited to three years.

The IRTG 2773 is supported by the German Research Foundation (DFG) and represents a structured international graduate program established between the Department of Psychiatry and Psychotherapy, Technische Universität Dresden, and the Institute of Psychiatry, Psychology (IoPPN) at King's College London. The program aims to explore risk factors and underlying mechanisms of affective disorders to enhance prevention, early detection, and treatment strategies.

In this unique transcampus environment, emerging scientists will receive training in translational research on affective disorders, benefiting from exceptional scientific infrastructure while collaborating in an interdisciplinary and international setting.

The position is based at the Neuroimaging Centre, which is equipped with a research-only 3T Siemens MRI scanner, MRI-compatible EEG and eye tracking, as well as transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (TDCS) units. The Centre also includes several rooms designated for computerized behavioral experiments outside the scanner, all supported by experienced physics and IT personnel.

The successful candidate will engage in the project titled 'Learning, Motivation, and Cognitive Control as Trans-Diagnostic Mechanisms in Addiction and Depression,' in collaboration with leading experts in the field. This project aims to investigate the role of Pavlovian-to-instrumental transfer (PIT) as a trans-diagnostic mechanism for mood and substance use disorders. A specific objective is to understand how sensitivity to the conflict between Pavlovian and instrumental control during PIT relates to interference control at both the stimulus and response levels, as well as to response inhibition. These inquiries will be experimentally examined through behavioral and fMRI studies. This position offers an excellent opportunity to work as a cognitive neuroscientist within a collaborative group of researchers, alongside some of the foremost addiction and mood disorder specialists in the region.

Key Responsibilities:

  • Overseeing the aforementioned research project
  • Designing and executing behavioral and imaging (fMRI) experiments
  • Analyzing fMRI data under the guidance of experienced postdoctoral researchers
  • Participating in regular meetings for interdisciplinary exchange of research findings
  • Actively engaging in the IRTG curriculum

Candidate Profile:

  • A university degree (master's or diploma) in psychology, cognitive neuroscience, computational neuroscience, or related fields
  • Experience in conducting and analyzing behavioral experiments
  • Prior experience with fMRI is advantageous
  • Basic programming skills in MATLAB, R, or Python
  • Proficient written and spoken English (C1) and at least basic German (A2)
  • A strong interest in experimental methodologies to investigate complex human behavior

What We Offer:

  • Collaboration within a highly interdisciplinary team that provides support
  • A well-structured curriculum encompassing behavioral and developmental neuroscience, psychiatry, clinical and cognitive psychology, and essential competencies
  • Opportunities for close collaboration and exchange with IoPPN, King's College London
  • Flexible working hours to help balance professional and personal life

Applications from women are encouraged. Individuals with disabilities who meet the qualifications will be given preference.

We kindly request that applications be submitted preferably through our online form to streamline the selection process. However, written applications will also be considered without any disadvantages.