Research Intern

The Research Intern joins the X-ray, CT, and MRI machine learning group for a six-month end-of-studies research internship in France. The group pre-trains foundation models on large-scale radiology data using cloud and HPC infrastructure and builds vision-language models for medical images. The final research subject is agreed before the internship starts and may include open-vocabulary grounding for chest X-ray vision-language models or a cross-modality foundation model spanning X-ray and CT. This is a fixed-term internship (stage) under a French internship agreement (convention de stage) with the student's school. Essential Duties and Responsibilities - Learn the clinical context for assigned modalities, including how images are acquired, how pathologies appear, and how radiologists read them. - Review relevant literature and propose approaches to test for the agreed research subject. - Train and evaluate models on large-scale medical imaging datasets using cloud and HPC infrastructure. - Compare results against baselines and report what worked and what did not. - Contribute tested code to the team's ML monorepo through code review. - Report progress weekly to the tutor and present results to the team. - Document the work so the team can build on it, and contribute to a publication where results allow. - Apply disciplined experimentation, including clear hypotheses, controlled comparisons, and critical reading of results. - Collaborate with researchers and engineers on the foundation-model and vision-language roadmap as assigned. - Follow DeepHealth data privacy, security, and research-integrity expectations when working with clinical imaging data. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.