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 applicant's 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:
Responsibilities:
Qualifications:
Preferred qualifications:
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 years 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.
Please include:
The deadline for applications is 17 May 2026, 23.59 (CET).
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Tagged as: Life Sciences
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