University of Copenhagen PhD Positions in AI in Medicine, Denmark

  •  PhD
  •  01-Jun-2025
  •   Denmark
  • $$  (Salary-based or integrated scholarship)

The Department of Computer Science at the University of Copenhagen is offering three PhD Positions in AI in Medicine. In collaboration with Rigshospitalet, the project aims to develop advanced AI solutions for cancer diagnosis, treatment planning, and outcome prediction.

The scholarship is open to highly motivated candidates from all nationalities with a strong background in computer science, mathematics, biomedical engineering, or related fields. Applicants must hold a relevant Master’s degree for the regular 3-year PhD program or a Bachelor’s degree for the integrated MSc and PhD track. A solid foundation in machine learning, software development, and data analysis is essential.

Founded in 1479, the University of Copenhagen is Denmark’s oldest and largest university, renowned for its academic excellence and research contributions. Located in the heart of Copenhagen, it spans four main campuses: City Campus, North Campus, South Campus, and Frederiksberg Campus. With over 40,000 students, including a significant international cohort, and around 9,000 staff, it offers a vibrant, diverse academic environment.
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Københavns Universitet Information

Københavns Universitet Grants

University of Copenhagen PhD Positions in AI in Medicine, Denmark Established in 1479, Københavns Universitet (University of Copenhagen) is a non-profit public higher education institution located in the urban setting of the large city of Copenhagen (population range of 1,000,000-5,000,000 inhabitants), Capital Region of Denmark. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Københavns Universitet (KU) is a very large (uniRank enrollment range: 35,000-39,999 students) coeducational higher education institution. Københavns Universitet (KU) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 540 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Open to applicants from all countries.

  • Acceptable Course or Subjects: The scholarship will be awarded in fields related to Computer Science, Mathematics, Biomedical Engineering, or other relevant areas.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a relevant Master’s degree for the 3-year PhD track or a Bachelor’s degree for the integrated MSc + PhD program.

    • Have demonstrated experience or strong interest in machine learning, software development, and/or medical imaging.

    • Show curiosity, independence, and motivation to work in a dynamic interdisciplinary environment.

    • Possess good language and communication skills.

    • Be willing to spend up to three months at a collaborating international research institution.

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Offered Benefits

  • Full-time employment for up to 3 years (regular PhD) or up to 5 years (integrated MSc + PhD)

  • Monthly salary and benefits according to the Danish Confederation of Professional Associations’ agreement

  • Creative and stimulating international research environment

  • Collaborative work with top-tier institutions and hospitals

  • Opportunity for a research stay abroad

  • Access to advanced resources in AI, imaging, and cancer treatment

  • Participation in courses and conferences, teaching activities, and career development training

Application Process

Applications must be submitted in English through the official application portal. Applicants must include the following documents:

  • Motivated letter of application (max. 1 page), specifying your preferred project track

  • Curriculum Vitae (CV)

  • Academic diplomas and transcripts (Bachelor’s and/or Master’s level)

  • Authorized English translations (if original documents are not in English or Danish)

  • List of publications (if available)

  • Letters of reference (optional but recommended)

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