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Norwegian Institute of Science and Technology

Postdoctoral Fellow in Aging Neuroscience, fMRI and Brain Networks at NTNU Norwegian University of Science and Technology in Norway

Degree Level

Postdoc

Field of study

Computer Science

Funding

Three-year postdoctoral fellowship. Salary is normally NOK 633,400 per year before tax depending on qualifications and seniority, with 2% deducted for the Norwegian Public Service Pension Fund. The position is conditional on external funding.

Deadline

Nov 7, 2026

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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Psychology
Biology
Neuropsychology
Medical Science
Aging Neuroscience
Neurocognition
Fmri
ML

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About this position

NTNU (Norwegian University of Science and Technology) is recruiting a Postdoctoral Fellow for the Kavli Institute’s Aging Neuroscience Group in Trondheim, Norway. The project focuses on aging neuroscience, especially the structural and functional neural networks underlying social and emotional processing in aging.

The postdoctoral fellow will join Dr. Maryam Ziaei’s group and contribute to a three-year research program involving a deep sampling study of healthy participants and clinical patients. The work includes fMRI (task and resting-state), behavioral testing, data analysis, project design, academic publication, and dissemination. The lab also works with ultra-high-field 7T MRI, brainstem/subcortical structures such as the locus coeruleus, and broader cross-sectional and large-scale MRI datasets.

Eligibility highlights: a completed PhD in psychology, neuroscience, biomedical sciences, or a related field is required; candidates in the final phase of the doctorate may apply if the thesis has been submitted or the defense date is confirmed. Strong experience in fMRI analysis, SPM/FSL, Python/Matlab, multivariate and network analyses, and excellent English communication skills are required. Preferred experience includes structural MRI, machine learning, large MRI datasets, and research with older adults.

Funding: the position is a 3-year postdoctoral fellowship with a salary normally starting at NOK 633,400 per year before tax, depending on qualifications and seniority. The position is conditional on external funding.

Application: submit the application electronically via Jobbnorge.no by 2026-11-07. Required attachments include transcripts and diplomas, CV, doctoral thesis or draft, a two-page research plan, two first-authored papers, possible recommendation letters, and contact details for two referees. Documents must be in English.

Funding details

Three-year postdoctoral fellowship. Salary is normally NOK 633,400 per year before tax depending on qualifications and seniority, with 2% deducted for the Norwegian Public Service Pension Fund. The position is conditional on external funding.

What's required

Applicants must have completed a doctoral degree in psychology, neuroscience, biomedical sciences, or a related field, or be in the final phase with thesis submitted or defense date confirmed. Required experience includes design and analysis of fMRI data (task and resting-state), univariate analyses using SPM/FSL, programming in Python and Matlab, multivariate and network analyses, an excellent academic record with publications in relevant fields, and excellent oral and written English. Preferred experience includes delineation of small brain structures, machine learning in neuroscience, analysis of large MRI datasets, structural MRI analyses (volumetric and/or DTI), and research with older adults.

How to apply

Apply electronically via Jobbnorge.no. Include transcripts and diplomas, CV, doctoral thesis or thesis draft if near completion, a two-page research plan, two first-authored papers, possible recommendation letters, and contact information for two referees. Documents must be in English.

More information can be found here

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