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University of Oslo

Just Landed

PhD Fellowship in Multi-Omics and Predictive Biomarkers for Alzheimer’s Disease University of Oslo in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time, fixed-term employment for three years. The salary is NOK 580,000–630,000 per year in position code 1017, depending on competence and experience; 2% is deducted for statutory contributions to the State Pension Fund. The position includes membership in the Norwegian Public Service Pension Fund and associated insurance and mortgage benefits.

Deadline

Nov 25, 2026

Country flag

Country

Norway

University

University of Oslo

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Keywords

Computer Science
Biostatistics
Biology
Neuroimaging
Alzheimer's Disease
Neuropsychology
Medical Science
Population Studies
Omics
Genetic
Statistics
Metabolomic
ML

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About this position

The University of Oslo is offering a doctoral research fellowship at the Centre for Precision Psychiatry, affiliated with the Institute of Clinical Medicine and conducted in collaboration with the Department of Medical Genetics at Oslo University Hospital.

The PhD project, Multimodal metabolic markers for mechanisms and predictive trajectories of Alzheimer’s disease, is part of the Back2Future project led by Professor Srdjan Djurovic. It will investigate whether early, heritable metabolic and protein biomarkers in blood can predict Alzheimer’s disease risk decades before symptoms emerge.

The research combines metabolomics, proteomics, genetics, brain MRI, cognition and health-registry data from large Norwegian and Nordic population cohorts. The fellow will work with extensive biomarker, clinical, cognitive, genotyping, sequencing and neuroimaging datasets, alongside data from international resources and consortia including the Psychiatric Genomics Consortium, ENIGMA, the European Alzheimer’s Disease DNA BioBank, UK Biobank, Estonian Biobank and ADNI.

The project involves integrating multi-omics and brain-imaging data to identify early Alzheimer’s disease biomarkers and contribute to a personalized prediction algorithm. The fellow will use large-scale analytical methods, computational tools and research infrastructure hosted by the Services for Sensitive Data. Activities include developing a PhD research plan, conducting literature searches, analysing and interpreting data, and preparing research articles for peer-reviewed journals.

The Centre for Precision Psychiatry provides a multidisciplinary research environment involving University of Oslo research groups, hospital departments and international collaborators. The fellow will work independently and as part of a team under the supervision of the group leader, while taking part in the Centre’s daily research activities.

Funding details

Full-time, fixed-term employment for three years. The salary is NOK 580,000–630,000 per year in position code 1017, depending on competence and experience; 2% is deducted for statutory contributions to the State Pension Fund. The position includes membership in the Norwegian Public Service Pension Fund and associated insurance and mortgage benefits.

What's required

Applicants must hold a master’s degree in a relevant discipline such as molecular biology, genetics, biostatistics, medicine, psychology or an equivalent field. Strong English and academic writing skills, familiarity with programming or scripting languages such as R, Python and/or Matlab, and experience with big-data analysis are required. Applicants must demonstrate the ability to work independently and in a structured manner and collaborate effectively. Preferred qualifications include relevant research experience, work with brain or metabolic disorders, multi-omics, population studies, registry or biobank data, machine learning, AI tools and AI-supported coding. Candidates should be highly organized, self-driven, goal-oriented, productive and attentive to detail, with excellent communication and collaboration skills.

How to apply

Apply through the Jobbnorge recruitment system using the “Apply for this job” button. Submit an application letter, CV entered in the Jobbnorge CV form, publication and academic-work list, certified Bachelor’s and Master’s diplomas and transcripts, and contact details for 2–3 references. Retrieve education results through Vitnemålsportalen where possible; documentation must be in English or a Scandinavian language.

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