Research Fellow (Computer Science/Statistics/Electronics Engineering)
Core
Conduct research in probabilistic machine learning, causal discovery, and GenAI, focusing on latent dynamic modelling and sequence generative models.
Role type
Research Fellow (AI/ML)
Builds
Academic publications, research papers, and patent applications
Domain
Artificial Intelligence / Machine Learning / Causal Inference (via careerplan.io/jobs/R00025896-research-fellow-computer-sciencestatisticselectronics-engineering-at-ntu)
Deliverable
research
Required skills
Probabilistic machine learning, Causal discovery, Sequence generative models, Latent dynamic modelling, World modelling, Experimental design, Hypothesis formulation, Novel method implementation, Multidisciplinary collaboration, Graduate student supervision
Preferred skills
Robotics, GenAI industry engagement, Open-source community contribution
Technologies
Causal representation learning, Dynamical systems, Sequence generative models, World modelling
