University of Copenhagen AI in Medicine PhD Positions, Denmark
The University of Copenhagen welcomes applications for three PhD positions in AI in Medicine at the Department of Computer Science. This project, in cooperation with Rigshospitalet, will work on developing sophisticated AI solutions for cancer diagnosis, treatment planning, and outcome prediction.
Established in 1479, the University of Copenhagen (UCPH) is is not only Denmark’s oldest and most esteemed university but also of the world. With a diverse academic environment that includes more than 40,000 students and 9,000 employees, including foreign researchers, it provides an exciting environment to pursue cutting-edge interdisciplinary research in the intersection of computer science and medicine.
Brief Description
University: University of Copenhagen
Department: Department of Computer Science, Faculty of SCIENCE
Course Level: 3-year PhD or integrated MSc + PhD (5-year)
Award Type: Salary with benefits for full-time employment
Access Mode: Online
Number of Awards: 3
Nationality: International and Danish applicants welcome
Location: Denmark
Application Deadline: May 15, 2025 (23:59 GMT)
Eligibility Criteria
To be considered, applicants should fulfill the following criteria:
- Have a Master’s degree for the 3-year PhD or a Bachelor’s degree for the integrated MSc + PhD.
- Have a computer science, mathematics, biomedical engineering, or a closely related discipline background.
- Have excellent machine learning, data analysis, and software development skills.
- Be proficient in English with outstanding communication and scholarly writing skills.
- Exhibit independence, motivation, and strong interdisciplinary research interest.
- Willing to spend a maximum of 3 months overseas at a collaborating organization.
Benefits
The selected applicants will be given:
Full-time PhD employment for up to 3 years or for 5 years (integrated track)
Gross monthly salary and benefits as agreed by the Danish Confederation of Professional Associations
Access to a dynamic, collaborative research climate
Access to state-of-the-art facilities in AI, cancer imaging, and health technology
Teaching opportunities, conference travel, and training in career skills
Research exchange programs at elite international institutions
Active participation in real-world clinical AI applications
How to Apply
Applications should be made online in English. Send the following documents:
Motivational letter (max 1 page) stating your preferred track
CV outlining academic and professional achievements & history
Academic transcripts and diplomas (Bachelor’s and/or Master’s)
Verified English translations if documents are not in English or Danish language
List of publications (if applicable)
Letters of recommendation (optional but appreciated)
Apply early to receive full consideration. Shortlisted candidates may be invited for interviews.
