Offer 158 out of 570 from 13/05/22, 12:28


Cha­rité - Uni­ver­si­täts­me­di­zin Ber­lin - Department of Psychiatry and Psychotherapy, Group: Machine Learning in Clinical Neuroimaging

The job position is in the new research unit 5187 "Towards precision psychotherapy for non-respondent patients: From signatures to predictions to clinical utility" (lead: Prof. Ulrike Lüken, Humboldt-Universität zu Berlin) in the framework of the subproject "Methods development" (lead: Prof. Kerstin Ritter and Prof. John-Dylan Haynes).

Research Assistant (PostDoc)

Charité Campus Mitte

Working field:

Under supervision
  • Develop novel methods at the intersection of machine learning / deep learning and neuroimaging
  • Develop new data analysis methods for multimodal data (clinical data, smartphone data, EEG data, MRI and fMRI data)
  • Carry out computer simulations to validate methods
  • Publish data analysis pipelines as user-friendly open-source toolboxes written in Python
  • Analyze patient data to address clinical research questions in psychiatric diseases (depression, anxiety etc)
  • Design and conduct own experiments
  • Conduct literature surveys
  • Publish research results in relevant scientific journals and present results as talks/posters at relevant conferences

Scientific staff is given sufficient time to carry out their own scientific work in accordance with their employment relationship.


  • Excellent degree (Diploma, MSc, ... + PhD) in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related)
  • Excellent methodological skills (esp. machine learning, deep learning, explainable AI, medical image analysis)
  • Excellent programming skills in python
  • Excellent writing and communication skills (in English)
  • Strong interest in neuroscientific and psychiatric research

Applications are expected to include a letter of motivation and a CV. Publications written in either English or German (such as MSc theses, research project reports) and links to software projects, git-hub repositories may also be included. All documents should be contained in a single pdf file.

How to apply:

Please send your application quoting the reference numer to:
Prof. Dr. Kerstin Ritter