AI-forsker leukæmi - Rigshospitalet København Ø
Rigshospitalet søger en postdoc med PhD i machine learning til udvikling af transformer-baserede deep learning-modeller for prognose af behandlingsinducerede toksiciteter hos børn med leukæmi. Kandidaten skal have erfaring med Python-baserede ML-frameworks og publikationer i toprangerede venues. Rollen omfatter design og validering af modeller, arbejde med kliniske data samt klinisk implementering af beslutningsstøtteværktøjer. Ansøgningsfrist: 15. juni 2026.
Post doc., sundhedsvidenskab stilling ved Rigshospitalet - København, Region Hovedstaden
- København, Region Hovedstaden
- Fuldtid
- Ordinaert
- 1 ledig stilling
- Ansøgningsfrist: 15. juni 2026
- Oprettet: 13. maj 2026
Beskrivelse af jobtilbuddet for Post doc., sundhedsvidenskab
The Pioneer center AI, Copenhagen University, and Copenhagen University Hospital Rigshospitalet invite applicants for a two-year postdoc position, fully funded by the Innovation Fund Denmark Industrial Postdoc (Public organization) program and the Danish Child Cancer Foundation.
Project Description
The project focuses on developing and validating advanced transformer-based deep learning models for the prediction of treatment-induced toxicities, focusing on severe neutropenia, in pediatric leukemia patients. The work integrates state-of-the-art machine learning with large-scale clinical and longitudinal medical data and aims to translate methodological advances into clinically actionable decision-support tools.
The project group comprises pediatric oncologists and clinical immunologists from Rigshospitalet, clinical pharmacologists from Bispebjerg Hospital and computer scientists from Pioneer Centre for AI at Copenhagen University. The candidate will be spending time both at the Pioneer Centre and at Rigshospitalet during the project period.
Responsibilities
- Design, develop, and evaluate deep learning models for risk prediction
- Work with heterogeneous medical data (EHRs, laboratory time series, treatment protocols)
- Perform methodological research suitable for publication in top-tier ML venues
- Collaborate closely with clinicians and medical researchers
- Support clinical implementation, validation, and documentation of developed models
- Participate in grant writing and dissemination of results
Required Qualifications
- PhD in Machine Learning or a closely related field
- Strong background in deep learning, including sequence models and transformers
- Proven experience with Python-based ML frameworks (e.g., PyTorch, TensorFlow)
- Track record of publications in top-tier machine learning or AI venues (e.g., NeurIPS, ICML, ICLR, CVPR, MICCAI)
- Experience working with medical or healthcare data in secure environments
- Excellent analytical and problem-solving skills
- Strong written and verbal communication skills in English
Preferred Qualifications
- Experience with longitudinal and time series modeling
- Familiarity with data privacy, security, and reproducibility
- Experience in performance characterization including bias and fairness analysis
- Interest in translational research and clinical deployment of AI systems
- Experience with collaborating in interdisciplinary research teams
The position is open from August 1, 2026, or as soon as possible thereafter. For further information about the position, please contact:
Mads Nielsen, Professor, Pioneer Center AI, Department of Computer Science, University of Copenhagen, madsn@di.ku.dk
Or
Signe Modvig, MD, PhD, Consultant physician, Clinical Associate Professor, Master In Bioinformatics, Department of Clinical Immunology, Rigshospitalet, signe.modvig.stausboell@regionh.dk
Denne stilling er publiceret af Rigshospitalet via jobnet.dk