Universitätsklinikum Köln AöR
Doktorand:in(m/w/x)
Part-timeTemporary contractOn-siteJunior
Köln
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UNUniversitätsklinikum Köln AöR
Doctoral Researcher / PhD Candidate – Computational Psychiatry(m/w/x)
Köln
Part-timeOn-siteJunior
Data Science
Nejo AI Summary
Curating longitudinal digital phenotyping datasets and evaluating generative models for mental health research. Master's degree in a related field and quantitative methods experience required. Opportunity to pursue PhD in an internationally connected research environment.
Requirements
- Master’s degree in psychology, neuroscience, computational psychiatry, cognitive science, data science, computer science, statistics, or related field
- Interest in mental health research, longitudinal data, and computational approaches
- First experience with quantitative methods and programming
- Interest in machine learning, time-series analysis, digital phenotyping, or computational modelling
- Motivation for interdisciplinary and collaborative work
- Careful, structured, and self-motivated working style
- Very good written and spoken English
- Master’s degree in psychology, neuroscience, computational psychiatry, cognitive science, data science, computer science, statistics, or related field
- Interest in mental health research, longitudinal data, and computational approaches
- First experience with quantitative methods and programming
- Interest in machine learning, time-series analysis, digital phenotyping, or computational modelling
- Motivation for interdisciplinary and collaborative work
- Careful, structured, and self-motivated working style
- Very good written and spoken English
Tasks
- Harmonise and curate longitudinal digital phenotyping datasets
- Support feature engineering from EMA, actigraphy, and GPS-derived data
- Contribute to evaluating generative models and simulation outputs
- Develop and apply resilience metrics to simulated and empirical trajectories
- Identify and interpret different transition patterns
- Assist in preparing analysis pipelines, documentation, and reproducible workflows
- Contribute to scientific publications, conference presentations, and team activities
- Pursue an independent doctoral project within the research group's thematic framework
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- R
Benefits
Learning & Development
- Opportunity to pursue PhD
- Opportunities for conference participation
- Methodological training
Startup Environment
- Innovative research environment
- Integration into interdisciplinary team
Informal Culture
- Internationally connected research environment
Other Benefits
- Close supervision
- Access to high-quality longitudinal datasets
Modern Equipment
- Access to modern computational methods
Career Advancement
- Opportunities for publication
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Universitätsklinikum Köln AöR and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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UNUniversitätsklinikum Köln AöR
Doctoral Researcher / PhD Candidate – Computational Psychiatry(m/w/x)
Köln
Part-timeOn-siteJunior
Data Science
Nejo AI Summary
Curating longitudinal digital phenotyping datasets and evaluating generative models for mental health research. Master's degree in a related field and quantitative methods experience required. Opportunity to pursue PhD in an internationally connected research environment.
Requirements
- Master’s degree in psychology, neuroscience, computational psychiatry, cognitive science, data science, computer science, statistics, or related field
- Interest in mental health research, longitudinal data, and computational approaches
- First experience with quantitative methods and programming
- Interest in machine learning, time-series analysis, digital phenotyping, or computational modelling
- Motivation for interdisciplinary and collaborative work
- Careful, structured, and self-motivated working style
- Very good written and spoken English
- Master’s degree in psychology, neuroscience, computational psychiatry, cognitive science, data science, computer science, statistics, or related field
- Interest in mental health research, longitudinal data, and computational approaches
- First experience with quantitative methods and programming
- Interest in machine learning, time-series analysis, digital phenotyping, or computational modelling
- Motivation for interdisciplinary and collaborative work
- Careful, structured, and self-motivated working style
- Very good written and spoken English
Tasks
- Harmonise and curate longitudinal digital phenotyping datasets
- Support feature engineering from EMA, actigraphy, and GPS-derived data
- Contribute to evaluating generative models and simulation outputs
- Develop and apply resilience metrics to simulated and empirical trajectories
- Identify and interpret different transition patterns
- Assist in preparing analysis pipelines, documentation, and reproducible workflows
- Contribute to scientific publications, conference presentations, and team activities
- Pursue an independent doctoral project within the research group's thematic framework
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- R
Benefits
Learning & Development
- Opportunity to pursue PhD
- Opportunities for conference participation
- Methodological training
Startup Environment
- Innovative research environment
- Integration into interdisciplinary team
Informal Culture
- Internationally connected research environment
Other Benefits
- Close supervision
- Access to high-quality longitudinal datasets
Modern Equipment
- Access to modern computational methods
Career Advancement
- Opportunities for publication
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Universitätsklinikum Köln AöR and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Universitätsklinikum Köln AöR
Industry
Healthcare
Description
Die Klinik und Poliklinik für Stereotaxie und Neurochirurgie ist ein integrativer Bestandteil der Universitätsklinik Köln.
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