PhD Position in Mechanism-Informed Multimodal AI

Tasks

• MSc in computer science, engineering, applied mathematics or related field
• Strong background in machine learning
• Solid understanding of mathematical modelling, probability, and optimization
• Experience in Python and deep learning frameworks (e.g., PyTorch)
• Excellent command of English
• Commitment to multidisciplinary research

Requirements

• Experience with causal inference methods (e.g., SCMs, Bayesian networks)
• Knowledge of dynamical systems or systems biology
• Experience with multimodal biomedical data
• Familiarity with knowledge graphs and ontologies
• Experience with generative AI models (e.g., VAEs, diffusion models, multimodal transformers)

Benefits

• Strong research infrastructure and international network