Research Assistant - Munich, Deutschland - Klinikum der Universität München

Klinikum der Universität München
Klinikum der Universität München
Geprüftes Unternehmen
Munich, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter
Beschreibung
Campus Innenstadt

  • WORKING HOURSPart time
  • DEPARTMENTKlinik und Poliklinik für Psychiatrie und Psychotherapie
  • DEPARTMENTNEVIA lab
  • DATE OF ENTRY
  • APPLICATION DEADLINE
  • REFERENCE NUMBER2023-K0081


The Hospital of the University of Munich, Germany, is one of the largest and most competitive university hospitals in Germany and Europe.

48 specialized hospitals, departments and institutions harbouring excellent research and education provide patient care at the highest medical level with around employees.

Scope of duties

  • Participant recruitment
  • Data collection
  • Data preprocessing
  • Data analysis
  • Computational modelling
Our requirements

  • A scientific university degree (Master) in a related field, for example Psychology or Neuroscience
  • Fluent command of written and spoken English
  • Coding experience, preferably with Matlab, Python and/or R
  • Intrinsic motivation, initiative, and an ability to work independently
  • Expertise with the preprocessing and analysis of neuroscientific data, e.g. fMRI and eye tracking, is desirable
  • Expertise with computational modelling, e.g. with hierarchical probabilistic models, is desirable

Offer:


  • In the NEVIA lab (PI: Prof. Dr. Cristine Falter-Wagner), we are investigating cognition and social interaction in clinical populations, for example in people with Autism Spectrum Disorder, Attention Deficit Hyperactivity Disorder and Borderline Personality Disorder. In our projects, we use neuroscientific and psychophysiological methods, automatic extraction of speech and motion features from audio and video recordings as well as machine learning to classify behaviour.
  • We are looking for a research assistant to join our EMOPRED project led by Dr. Irene Sophia Plank. The EMOPRED project is exploring emotion recognition in people with and without neurodevelopmental disorders using neuroscientific methods (fMRI, eye tracking) and probabilistic models to investigate processes of the Bayesian Brain.
  • Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.
Offers and services of the employer

Further education and training

Company pension scheme

Childcare services

Mobile work (if suitable)

Job ticket

Discounts

Staff accommodation


Frau Irene Sophia Plank
Application format

Disabled persons will be preferentially considered in case of equal qualification. Presentation costs cannot be refunded.
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