Postdoc In AI In Cancer Treatment

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Postdoc in AI in cancer treatment

Funding for two postdoctoral researcher positions working on the use of AI in medicine is available. The positions are focused on various aspects of cancer treatment, including AI-assisted diagnosis, treatment planning, and outcome prediction. Depending on the applicants qualifications, they may work on medical image analysis, clinical report analysis, or theoretical aspects of AI in medicine. The researchers are expected to work in close collaboration with the Department of Radiation Oncology and the Department of Radiology at Rigshospitalet. This project, led by Associate Professor Bulat Ibragimov.

These positions are intended for candidates interested in advancing AI in medicine, with a primary focus on medical image analysis. The research spans multimodal data integration, combining imaging with clinical and treatment-related information. While the main application area is cancer diagnosis and treatment planning, the work also includes related domains such as modelling clinician behaviour (e.g., eye-tracking analysis) and methodological development in medical image analysis. The latter is designed to produce broadly applicable techniques that extend beyond specific tasks and contribute to general advances in AI for healthcare.

Key Objectives

• Develop a new AI algorithm for the analysis of images or clinical reports for cancer patients treated with radiation.
• Collaborate with clinical experts to ensure relevant AI validation schemes.
  
  

Responsibilities

• Conduct research on algorithmic AI development for image and text analysis.
• Develop and test AI algorithms on clinical data from Rigshospitalet.
• Collaborate with interdisciplinary teams, including experts in AI and cancer treatment.
• Publish research findings in high-impact journals and present at conferences.
  
  

Qualifications

• PhD in Computer Science, Data Science, Statistics, or a related field.
• Strong background in AI, machine learning, and statistical modeling.
• Excellent programming skills (e.g., Python), especially practical programming experience with machine learning models.
• Be ambitious and wish to make a difference in how AI is used in society.
• Excellent verbal and written communication skills.
• Ability to work independently and collaboratively within a team.
  
  

Preferred Qualifications

• Experience with explainable AI in medicine.
  
  

Further information on the Department is linked here. Inquiries about the position can be made to Bulat Ibragimov, bulat@di.ku.dk.

Terms of employment

The position is fixed term of two year and is open from 15 August 2026 or as soon as possible thereafter.

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment are according to the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations on Academics in the State.

Negotiation for a salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

• Curriculum vitae
• Diplomas (Master and PhD degrees or equivalent)
• Research plan – description of current and future research plans
• Complete publication list
• Separate reprints of 3 particularly relevant papers
  
  

The deadline for applications is 17 May 2026, 23.59 (CET).

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

You can read about the recruitment process here.

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.

Info

Application deadline: 17-05-2026

Employment start: 15-08-2026

Working hours: Full time

Department/Location: Department of Computer Science

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