Doctoral student (Licentiate) in machine learning
Core
Conduct doctoral-level research on AI and ML in healthcare, focusing on patient care trajectories and data analysis within the information-driven care research program.
Role type
Research-focused doctoral student (licentiate)
Builds
New methods and insights for information-driven healthcare through triple-helix collaboration
Domain
Healthcare + Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Representation learning, Vertical federated learning, Time-series analysis, Uncertainty quantification, Multimodal data fusion, Sequential modelling, Graph-based learning, Explainable AI, Causal inference, Privacy-preserving ML, Python programming, Healthcare data analysis
Preferred skills
Deep learning, Transformer architectures, Mamba, Prior research experience, Publications in high-tier venues
Technologies
Python, Clinical data systems
Responsibilities
Conduct research on representation learning and federated learning, Analyze patient trajectories across the care chain, Deliver analysis and reporting for research projects, Publish findings in peer-reviewed venues, Complete doctoral coursework, Participate in triple-helix collaborations, Teach and supervise students (up to 20%)
Seniority
Doctoral student (Licentiate)
