Dear all, 

we offer a PhD / PostDoc position (4 years, 100%) at Charité - 
Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in 
Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing 
and regaining control over drug intake". Please see the job advertisement below 
and forward to potential candidates.

____________________________________________________
Job opening: PhD / PostDoc Position (100%, 4 years) 
“Machine / Deep Learning in Neuroimaging for Psychiatric Research”

We are seeking a highly motivated and talented individual to join our research 
team as a PhD student / Postdoc who would apply machine learning to substance 
addiction research. The successful candidate will have the opportunity to 
develop innovative and explainable machine/deep learning algorithms that can 
identify patterns and predictors of alcohol addiction and cannabis use disorder 
using structural brain MRI, Ecological Momentary Assessments (EMA), and 
psychometric questionnaires. A key aspect of this research will be accounting 
for confounding variables, such as age or comorbidities, to ensure robust and 
reliable results. This project is part of the TRR265 research consortium 
(https://www.trr265.org/en). The position will be in the lab of Prof. Dr. rer. 
nat. Kerstin Ritter 
(https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_neurotechnology/machine_learning/).

Salary grade: TV-L E13 (100%)
Starting date: August 01, 2023, for ~ 4 years
Soft application deadline: June 25th, 2023
The position would remain open until filled.

Qualifications:
- Master’s degree with excellent grades in Computer Science, Data Science, 
Statistics, Physics, Computational Neuroscience or a related field
- Experience with data analysis, visualization, and developing machine learning 
algorithms
- Strong programming skills in Python and PyTorch, and experience working with 
linux servers and GitHub
- Some prior experience with publishing research papers and working 
independently on open research questions
- Excellent written and oral communication skills

Ideal additional qualifications:
- Familiarity with developing explainable deep learning algorithms and 
benchmarking model performance
- Prior experience with psychiatric research
- Prior experience with neuroimaging
- Familiarity with analyzing healthcare data such as ecological momentary 
assessments and psychometric questionnaires
 -Prior experience with publishing open-source research code

To apply, please submit:
CV with contact information of 2-3 references
Short motivation letter (max 1 page) mentioning the skills you can bring to 
this project
Master’s / PhD degree transcript (if available)

Please send your application asap to Roshan Rane (roshan.r...@charite.de) and 
Kerstin Ritter (kerstin.rit...@charite.de). 

_____________________________________________

Looking forward to your applications!

Thank you, best wishes, 
Kerstin (Ritter)



_______________________________________________
Prof. Dr. rer. nat. Kerstin Ritter (née Hackmack)
Juniorprofessor for Computational Neuroscience

Department for Psychiatry and Psychotherapy
Charité Universitätsmedizin Berlin, corporate member of Freie Universität 
Berlin,
Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Charitéplatz 1, 10117 Berlin, Germany
kerstin.rit...@charite.de

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