MSc Projects

We offer AI internships in the Radboudumc for motivated Master students that are interested in solving healthcare problems. Master thesis projects typically have a duration of 6 months. An overview of open vacancies can be found below.

How to apply:

Send your CV with a list of grades and a short motivation letter to rtcai@radboudumc.nl.
Indicate for which project(s) you apply.
If you are not a student at Radboud University, explain your experience with deep learning or other techniques mentioned in the project proposal. Please also indicate any extra requirements your university may have, for example whether there must be an internal supervisor or there are requirements from your university regarding the thesis that needs to be written.

Project Vacancies

Towards an improved planning model for patient-centered IVF treatment using AI

AI-based prediction of ovum pick-up timing to improve patient-centered planning and IVF laboratory workflow

LLM-as-a-Judge as a validation framework for clinical Generative AI tools

Designing an LLM-as-a-Judge framework to validate clinical generative AI tools integrated in the EHR at Radboudumc

Early prediction of multi-drug resistant Klebsiella species using machine learning

Machine learning on antibiotic susceptibility testing data to predict MDR Klebsiella (ESBL/CPE) one day earlier than current laboratory workflows

Multi-scale phenotyping of mosquito host-seeking behavior using machine learning and computer vision

Machine learning and computer vision for multi-scale analysis of host-seeking behavior in malaria-transmitting mosquitoes using long-term video data from the BuzzWatch platform

AI-enhanced segmentation and registration of wrist bones in fractured and implant-containing wrists

Deep learning for robust segmentation and registration of wrist bones in pathological 3D and 4D CT scans with fractures and metal implants