Publisher
source

Karolinska Institutet

Postdoctoral Researcher in Vascular Cognitive Impairment, Dementia, and Proteomics Karolinska Institutet in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral employment for two years. Salary is monthly (Månadslön); no stipend amount is stated.

Deadline

Sep 29, 2026

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Country

Sweden

University

Karolinska Institutet

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Keywords

Computer Science
Epidemiology
Biomarker Research
Biostatistics
Biology
Neuroimaging
Aging
Alzheimer's Disease
Neuropsychology
Medical Science
Salud Pública
Statistics
ML

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About this position

Karolinska Institutet is advertising a postdoctoral researcher position in vascular cognitive impairment and dementia (VCID), with a strong focus on proteomics, neuroimaging, longitudinal cohort analysis, and machine learning. The successful candidate will join Assistant Professor Anna Marseglia and the Westman neuroimaging group at the Division of Clinical Geriatrics, NVS Department, in a multidisciplinary environment working on prevention, early diagnosis, and treatment of cognitive disorders.

The project aims to identify molecular fingerprints linked to vulnerability or resilience in VCID and to study how these signatures relate to clinical, cognitive, lifestyle, and genetic features. The work uses large-scale multimodal cohorts, including the Gothenburg H70 Birth Cohort studies and UK Biobank, and may expand to additional cohorts with proteomic, clinical, cognitive, neuroimaging, and genetic data.

Research tasks include data management and curation, literature review, study design, statistical analyses, interpretation, manuscript writing, and dissemination. A major part of the role is leading the proteomics component: quality control, normalization, molecular signature discovery, and integration with neuroimaging and cognitive outcomes. Methods mentioned include clustering, dimensionality reduction, supervised and unsupervised machine learning, and longitudinal statistical models.

Eligibility highlights: a PhD or equivalent foreign degree is required by the employment decision date; a recent PhD is preferred. The ideal profile includes clinical neuroscience, biostatistics, or a related field; experience with proteomics and omics integration; strong programming skills in R; and excellent English communication skills. Experience with UK Biobank and translational biomarker research is considered a merit.

Employment details: full-time (100%) temporary position for two years. Location: Huddinge, Sweden at KI Campus Flemingsberg / Neo (Blickagången 16). Application documents must be submitted in English or Swedish through the Varbi recruitment system.

Deadline: 2026-09-29.

Funding details

Full-time postdoctoral employment for two years. Salary is monthly (Månadslön); no stipend amount is stated.

What's required

A PhD or equivalent foreign degree is required by the employment decision date, preferably completed within the last three years. The ideal candidate has a PhD in clinical neuroscience, biostatistics, or a related field with a focus on neuroimaging and proteomics in aging; a strong first-author publication record; hands-on experience with proteomics preprocessing, normalization, clustering, pathway analysis, and biomarker discovery; practical experience with machine learning on high-dimensional biological data; longitudinal data analysis experience; applied research experience in neurodegeneration, cerebrovascular disease, and cognitive impairment/dementia; training in epidemiology-related methods within dementia research; experience with large-scale datasets; strong programming skills in R or similar software; excellent English communication skills; and the ability to work independently and collaboratively in an international multidisciplinary team. Experience integrating omics with clinical or neuroimaging data and UK Biobank data is a merit.

How to apply

Prepare the required documents in English or Swedish: PhD certificate, complete CV/resumé, complete publication list, and a one-page summary of current work. Submit the application through the Varbi recruitment system before the deadline.

More information can be found here

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