Aalborg University
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PhD in Large-Scale Data for Precision Medicine in Psychiatry Aalborg University in Denmark
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 31, 2026
Country
Denmark
University
Aalborg University

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About this position
PhD opportunity at Aalborg University in precision medicine in psychiatry, focused on using large-scale data to improve disease subtyping and risk prediction.
The project is based at the Department of Health Science and Technology, Aalborg University, with affiliation to the National Centre for Register-based Research at Aarhus University. The research will use genetic, imaging, and epidemiological data from Denmark and other countries to study the heterogeneity of psychiatric disorders, especially ADHD.
You will work in the Genomic Medicine Group and apply machine learning, deep learning, statistical genetics, and advanced analytical methods to develop novel approaches for psychiatric research. The post is especially relevant for candidates interested in medical science, psychology/psychiatry, statistics, computer science, biology, and neuroscience.
Eligibility highlights: a master’s degree in statistics, biomedical engineering, computer science, medicine, or a related field; strong Python and/or R skills; experience with data curation, large datasets, genetic methods, and machine learning is an advantage. The successful candidate must enroll in the PhD programme in Biostatistics and Epidemiology and complete the usual PhD training requirements, including courses, teaching/dissemination, and an external research stay.
Funding: one PhD stipend for a 3-year full-time appointment starting 15 October 2026 or as soon as possible thereafter. Salary and terms follow Danish university regulations and the collective agreement.
Deadline: 31 August 2026.
How to apply: submit a short motivation/application letter (max 2 pages), CV, diplomas, publication list if available, and any other relevant documents through Aalborg University’s recruitment system.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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