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University of Copenhagen

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PhD Scholarship in Individual Differences in Face Recognition and Cognitive Abilities University of Copenhagen in Denmark

Degree Level

PhD

Field of study

Psychology

Funding

This is a fully funded, three-year, full-time PhD scholarship under the 5+3 study programme. PhD students receive a salary under the agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations, starting at approximately DKK 31,844.98 per month plus an 18.07% pension contribution. The position includes a work obligation of up to 840 hours over three years without additional pay, which may include teaching.

Deadline

Nov 13, 2026

Country flag

Country

Denmark

University

University of Copenhagen

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Keywords

Psychology
Cognitive Science
Neuropsychology
Salud Pública
Facial Recognition
Neurocognition
Individual Differences
Psychiatric Epidemiology

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About this position

The University of Copenhagen invites applications for a three-year PhD scholarship in the project “Exploring the bases of individual differences in face recognition”, funded by the Independent Research Fund Denmark. The project investigates why face-recognition ability varies across a large, representative sample of the Danish population and how this variation relates to other measures of cognition.

The PhD project will focus on relating individual differences in face recognition to indicators of cognitive abilities and cognitive disorders. The research will draw on questionnaire data and Danish public registry data, with the doctoral researcher developing a research plan within the framework of the broader project. A central challenge is to identify and evaluate suitable registry variables as indexes of cognitive ability and cognitive disorders, and to determine appropriate analytical strategies for relating these variables to face-recognition data.

The project is headed by Professor Randi Starrfelt and is conducted in collaboration with Professor Karen-Inge Karstoft, whose expertise includes psychology and epidemiology, and Professor Birgitte Fagerlund, a specialist in cognitive neuropsychiatry. The PhD student will work closely with psychologists across psychological epidemiology, cognitive neuropsychology and neuropsychiatry.

The position is located in the Copenhagen Neuropsychology Lab, part of the Section for Cognition and Neuropsychology at the Department of Psychology. The successful candidate is expected to be present in the lab, contribute to the team and participate in its daily research activities. The doctoral programme also provides training through research networks, PhD courses, teaching and knowledge dissemination, preparing researchers for careers in both public and private-sector settings.

Funding details

This is a fully funded, three-year, full-time PhD scholarship under the 5+3 study programme. PhD students receive a salary under the agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations, starting at approximately DKK 31,844.98 per month plus an 18.07% pension contribution. The position includes a work obligation of up to 840 hours over three years without additional pay, which may include teaching.

What's required

Applicants must have qualifications corresponding to master's level in a relevant subject area, such as psychology, public health, medicine, cognitive neuroscience, experimental psychology, cognitive psychology, developmental psychology, neuropsychology, cognitive science, or psychiatry. Applicants educated outside Denmark must hold a degree equivalent to a Danish two-year master's degree, or at minimum a bachelor's degree equivalent to a Danish bachelor's degree together with professional qualifications assessed at master's level. Interest in cognition and variability in cognitive ability is expected. Strong data handling and analysis skills are advantageous, as is experience using Danish public registry data, though the latter is not required. Applications must be written in English and include a cover letter, CV, project description, diplomas and transcripts, and any other relevant supporting information.

How to apply

Apply online through the application portal by 13 November 2026 at 23:59 CET. Submit an English-language cover letter, CV, project description, diplomas and transcripts, and any other relevant documentation in PDF or Word format. Request the original IRFD project proposal from Professor Randi Starrfelt before submitting the application.

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