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.
This project is large in scale, offering considerable flexibility for each PhD to follow the track they prefer. These tracks include: a) Analysis of pre-RT medical images – Annotating patient organs, tumors, and anatomically relevant regions to measure radiation delivery and dose distribution across different areas; b) Analysis of dose delivery plans – Examining longitudinal RT treatments where radiation is delivered over multiple sessions; c) Analysis of clinical features – Investigating patient data as structured variables or processing clinical reports using NLP algorithms to assess their role in RT outcomes; d) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling; e) Eye-tracking in cancer treatment planning – Exploring whether eye-tracking technology can serve as an optimal communication interface between physicians and computers during medical image annotation and treatment planning.
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 at Inquiries about the position can be made to [head of department].
The position is open from 1st March 2026or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
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
The deadline for applications is 15th December 2025, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at
Interviews will be held around 19 January-30 January 2026.
Kilde:
This project is large in scale, offering considerable flexibility for each PhD to follow the track they prefer. These tracks include: a) Analysis of pre-RT medical images – Annotating patient organs, tumors, and anatomically relevant regions to measure radiation delivery and dose distribution across different areas; b) Analysis of dose delivery plans – Examining longitudinal RT treatments where radiation is delivered over multiple sessions; c) Analysis of clinical features – Investigating patient data as structured variables or processing clinical reports using NLP algorithms to assess their role in RT outcomes; d) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling; e) Eye-tracking in cancer treatment planning – Exploring whether eye-tracking technology can serve as an optimal communication interface between physicians and computers during medical image annotation and treatment planning.
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 at Inquiries about the position can be made to [head of department].
The position is open from 1st March 2026or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
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 degree 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 15th December 2025, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at
Interviews will be held around 19 January-30 January 2026.
Kilde:
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 10.11.2025, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- København Ø
- Mandag den 15. december 2025
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