We are seeking two postdoctoral researchers to join ScreenPoint Medical's Innovation team in Copenhagen, in a joint project with the University of Copenhagen. The team will work on cutting-edge foundation models for breast cancer recurrence, in collaboration with a professor in Computer Science and AI at the University of Copenhagen.
Requirements
- Design and develop robust foundation and world models (e.g. vision transformers, vision-language models, LeJepa) tailored to breast imaging data.
- Apply and adapt foundation models to downstream tasks focused on breast cancer detection and risk in women with earlier diagnosed cancers.
- Collaborate closely with ScreenPoint's AI Algorithm Lead and AI Research Engineers to ensure robust integration between foundation models, MLOps infrastructure, and downstream evaluation metrics.
- Perform and report on in-depth model analysis, including calibration, subgroup performance, and failure-mode assessment.
- Publish findings in high-impact peer-reviewed journals and present at leading international conferences, supported by your academic supervisor at the University of Copenhagen.
Benefits
- Employment at ScreenPoint Medical with co-supervision from a professor in Computer Science and AI at the University of Copenhagen.
- Access to large-scale, high-quality clinical breast imaging datasets through ScreenPoint's industry partnerships and clinical collaborations.
- A collaborative, ambitious, and international environment spanning both industry and academia.
