Postdoc in AI in cancer treatment

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København Ø

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:

  • 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 2026or 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.

Kilde: Jobnet.dk


Information og data

Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".

Arbejdsstedet er beliggende i København Ø.

Jobbet er oprettet på vores service den 20.4.2026, men kan have været deaktiveret og genaktiveret igen.

Rapportér
  • Forsker
  • København Ø
  • Søndag den 17. maj 2026
Rapportér

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