Karolinska Institutet
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Postdoctoral Researcher in Multimodal Neuroimaging and Machine Learning Karolinska Institutet in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Apr 12, 2026
Country
Sweden
University
Karolinska Institutet

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Where to contact
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About this position
Karolinska Institutet invites applications for a Postdoctoral Researcher in Multimodal Neuroimaging and Machine Learning. This interdisciplinary project aims to improve early diagnosis and risk prediction in adolescents with early-onset psychosis, focusing on schizophrenia and bipolar disorder. The research integrates multimodal neuroimaging with genetic and transcriptomic data, applying machine-learning approaches to identify neural signatures associated with psychosis vulnerability.
As a postdoctoral researcher, you will play a central role in scientific development and implementation, working with large-scale neuroimaging and multimodal datasets. Responsibilities include designing and conducting neuroimaging analyses, coordinating data processing pipelines, and performing advanced statistical and computational analyses. You will develop and apply machine-learning and AI-based methods for individual-level risk prediction and diagnostic classification, focusing on disease-relevant neural signatures. Collaboration with clinical and methodological experts is integral, and you will contribute to high-quality scientific publications and presentations. Opportunities exist to pursue independent research questions within the group’s program.
Eligibility requires a PhD or equivalent in neuroscience, neuroimaging, medicine, computational science, physics, statistics, engineering, neuropsychology, or a related field. Strong skills in statistical analysis, programming (Python, MATLAB, R), and quantitative or computational backgrounds are essential. Experience with neuroimaging data analysis (structural and functional MRI) and familiarity with neuroimaging software (SPM, FSL, FreeSurfer, AFNI) are required. Experience with machine learning, multivariate modeling, or data-driven approaches, and interest or experience in integrating neuroimaging with genetic or transcriptomic data, are strong merits. Prior neuropsychiatric research experience is welcome but not required. Effective communication in English and a solid academic track record, preferably with peer-reviewed publications, are expected.
Karolinska Institutet offers a creative and inspiring environment with wide-ranging expertise and interests. As one of the world’s leading medical universities, KI provides successful medical research and the largest range of medical education in Sweden. Researchers benefit from international collaborations, mentorship, and opportunities for global exchange. The university’s collective agreement provides several benefits for employees.
The position is full-time, temporary, and based in Solna, Stockholm. The application deadline is April 12, 2026. Applications must be submitted via the Varbi recruitment system and include a PhD certificate, complete resumé, list of publications, and a summary of current work (max one page) in English or Swedish. For further information, contact Fahimeh Darki (Research Specialist) or Vendela Breeze (HR partner).
Join Karolinska Institutet and contribute to advancing mental health research and improving early diagnosis of psychosis in adolescents.
Funding details
Available
What's required
Applicants must hold a PhD or a foreign degree equivalent to a Swedish PhD in neuroscience, neuroimaging, medicine, computational science, physics, statistics, engineering, neuropsychology, or a related field. Completion of the doctoral degree within the last three years is preferred, but earlier completion may be considered for special reasons. Strong skills in statistical analysis and programming (Python, MATLAB, R, or similar) are required, along with a quantitative or computational background. Experience with neuroimaging data analysis (structural and functional MRI) and familiarity with neuroimaging software (SPM, FSL, FreeSurfer, AFNI, or equivalent) are necessary. Experience with machine learning, multivariate modeling, or data-driven approaches, and interest or experience in integrating neuroimaging with genetic or transcriptomic data, are strong merits. Prior neuropsychiatric research experience is welcome but not required. Candidates must demonstrate effective communication in spoken and written English and have a solid academic track record, preferably with publications in peer-reviewed international journals.
How to apply
Submit your application through the Varbi recruitment system. Include your PhD certificate, a complete resumé, a list of publications, and a summary of current work (max one page). All documents must be in English or Swedish. Follow the application link provided.
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