We offer a fully funded PhD position at Amsterdam UMC
Topic: Interpretable machine learning for onco- and neurological applications
Abstract: Prediction models are a cornerstone of clinical care as they enable (early) diagnosis of disease or personalized treatment. Machine learning (ML) methods hold the promise to improve upon classical models, but for these to be useful in clinical practice they need to be tailored to (small n) medical settings. Moreover, ML prediction models need to be complemented with interpretability tools and allow uncertainty quantification. This project contributes to these aims by applying learners that can incorporate external information, and by developing dedicated interpretability tools that allow to assess and infer the importance of (groups of) features and their interactions. As many of the applications have a genomics component, an extra challenge will be to deal with high-dimensional (p > n) data. The project entails methodological development, balanced with implementation and applications in the onco- and neurological field. You will have access to high-quality clinical data from our collaborators.
More information: https://werkenbij.amsterdamumc.org/en/vacatures/research/interpretable-machine-learning-for-onco–and-neurological-applications
Please apply before May 29.
