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One or more PhD positions in Using Large-Scale Data to Improve Precision Medicine in Psychiatry

Aalborg University

Published on August 29, 2026

LocationDenmark DeadlineAugust 31, 2026 · CLOSED Job typeFull-time International applicantsYes

About the opportunity

At the Faculty of Medicine, Department of Health Science and Technology, one PhD stipend in Precision Medicine in Psychiatry is available for appointment from October 15, 2026, or as soon as possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biostatistics and Epidemiology at the Faculty of Medicine. The PhD position will be based at the Department of Health Science and Technology, Aalborg University, and affiliated with the National Centre for Register-based Research at Aarhus University. As a PhD researcher, you will contribute to the development of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries.

Salary and benefits

  • Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement)
  • 3-year full-time PhD employment stipend
  • Opportunity to complete PhD courses corresponding to 30 ECTS
  • Experience with teaching or other forms of knowledge dissemination
  • An external research stay outside of Aalborg University, preferably 3-6 months at a foreign research institution

Who can apply?

  • Hold a Master's degree in statistics, biomedical engineering, computer science, medicine, or a related field
  • Excellent programming skills in Python and/or R
  • Experience with data curation, large-scale datasets, and genetic and machine learning methods
  • Interpersonal skills and collaborative competency

Required documents

  • Application, max 2 pages describing the applicants' background, motivation and qualifications for a PhD position in precision medicine in psychiatry
  • Curriculum Vitae (CV)
  • List of publications (if available)
  • Diplomas (bachelor's and master's degree diploma)
  • Other relevant documents
  • References (if available)

When to apply

  • Application deadline: August 31, 2026
  • Interviews will take place in the second week of September (online or in person)

How to apply

  • Prepare all required application documents including your 2-page motivation application, CV, diplomas, and publications
  • Submit the application via Aalborg University's recruitment system accessed under the job advertisement on the university's website

Additional information

  • Ref number: 2026/954
  • Department: Department of Health Science and Technology
  • There is a mutual probationary period of 3 months for the position
  • Shortlisting will be applied after the application deadline

Our Take on This Opportunity

This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.

You may be a strong fit if…

  • Strong background in statistics, computer science, or biomedical engineering
  • Proficiency in Python or R with experience in large-scale data curation
  • Interest in applying machine learning to psychiatric research

What should you think carefully about?

  • Requires on-site presence in Aalborg, Denmark
  • Must be willing to undertake a 3-6 month external research stay
  • Subject to a 3-month mutual probationary period

How could this fit your current goals and plans?

This position is ideal for an early-career researcher aiming to build expertise in precision medicine and biostatistics. The structured program, including 30 ECTS of coursework and international research exposure, provides a solid foundation for a career in academia or data-driven healthcare.

Our take

Candidates with a strong computational background and an interest in psychiatric heterogeneity should apply. Those seeking a purely remote or non-academic role may find this less suitable.

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Review the opportunity on the official website before applying.

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