Doctoral Candidate / Research Assistant - Multimodal AI Foundation Modelling of Thrombosis Data

Transilvania University of Brasov is seeking a Doctoral Candidate to join the ThromboRisk project, a Marie Skłodowska-Curie Actions Doctoral Network. The successful applicant will focus on developing multimodal AI foundation models that integrate physics-based computational data with clinical and medical imaging measurements. This research aims to create robust, interpretable predictive models for thrombosis risk. The candidate will work within an interdisciplinary team to advance multi-level risk prediction systems.

• Integrate physics-based computational data with medical imaging and clinical measurements.
• Develop and implement multimodal data-fusion and representation-learning methods.
• Analyze the influence of physics-based data on clinical and imaging-driven tasks.
• Design supervised, semi-supervised, self-supervised, and unsupervised learning architectures.
• Combine data-driven approaches with physics-based modeling techniques.
• Create robust and interpretable AI models specifically for thrombosis analysis.
• Evaluate the predictive performance, reliability, and trade-offs of integrated multi-scale models.