Publisher
source

University of Copenhagen

PhD scholarship

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

Degree Level

PhD

Field of study

Psychology

Funding

Funded PhD position in the 5+3 programme. PhD students are paid a salary according to the Danish AC agreement, with a work obligation of up to 840 hours over the 3-year period without additional pay. Salary starts at approximately DKK 31,844.98 per month plus an 18.07% pension contribution.

Deadline

Nov 10, 2026

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Country

Denmark

University

University of Copenhagen

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Keywords

Psychology
Cognitive Science
Neuropsychology
Medical Science
Salud Pública
Facial Recognition
Neurocognition
Psychiatric Epidemiology

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About this position

PhD scholarship at the Department of Psychology, University of Copenhagen in the project Individual differences in face recognition / Exploring the bases of individual differences in face recognition. The project examines variability in face recognition across a large, representative sample of the Danish population and relates it to other measures of cognition using questionnaires and Danish public registry data.

The PhD student will work within Copenhagen Neuropsychology Lab, part of the Section for Cognition and Neuropsychology, and will collaborate closely with researchers in psychological epidemiology and cognitive neuropsychology/neuropsychiatry. The project is headed by Professor Randi Starrfelt, with collaboration from Professor Karen-Inge Karstoft and Professor Birgitte Fagerlund.

This is a funded PhD position in the 5+3 programme. The student is paid a salary under the Danish AC agreement, with an additional pension contribution, and the role includes a work obligation of up to 840 hours over three years. The position is full-time and starts on March 1, 2027 or as soon as possible thereafter.

Applicants should have a master’s-level background in a relevant field such as psychology, public health, medicine, or cognitive neuroscience. Strong data handling and analysis skills are an advantage, as is interest in cognition, face recognition, and the use of Danish public registry data. The application must be written in English.

To apply, submit the online application with a cover letter, CV, a project description (max 3 pages / 6000 characters excluding references), diplomas and transcripts, and any additional relevant documents. The project description should discuss the use of selected Danish public registry variables as indexes for cognitive ability and cognitive disorders, and propose analyses relating them to the face recognition data. The deadline is November 10, 2026 at 23:59 CET.

Funding details

Funded PhD position in the 5+3 programme. PhD students are paid a salary according to the Danish AC agreement, with a work obligation of up to 840 hours over the 3-year period without additional pay. Salary starts at approximately DKK 31,844.98 per month plus an 18.07% pension contribution.

What's required

Applicants must have qualifications corresponding to master’s level in a relevant field such as psychology, public health, medicine, or cognitive neuroscience. Relevant backgrounds include MA/MSc degrees in experimental, cognitive, or developmental psychology, neuropsychology, cognitive (neuro)science, medicine (psychiatry), or public health. Strong skills in data handling and analysis are an advantage, as is interest in the research questions and experience with Danish public registry data. Applicants educated outside Denmark must have a master’s degree equivalent to a Danish master’s degree, or at minimum a bachelor’s degree equivalent to a Danish bachelor’s degree plus assessed professional qualifications at master's level. Application must be in English.

How to apply

Apply online via the Apply now button on the job page. Submit an English application with a cover letter, CV, project description, diploma and transcripts, and any other relevant documents such as publications or English language documentation. Request the project proposal from [email protected] before submitting your project description.

More information can be found here

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