Connectionists: PhD / PostDoc position (4 years, 100%) in "ML / DL in Neuroimaging for Psychiatric Research" at Charité - Universitätsmedizin, Berlin

[Kerstin Ritter]

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.

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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.rane at charite.de) and Kerstin Ritter (kerstin.ritter at charite.de). 

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Looking forward to your applications!

Thank you, best wishes, 
Kerstin (Ritter)



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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.ritter at charite.de