Samuel Kaski

Postdocs in Helsinki: Topic: combinations of the following: - foundations of (probabilistic) machine learning - beyond current distribution shift models - AI-assistance with computationally rational user models - particularly attractive applications in synthetic biology and biodesign. Postdoc or research fellow in Manchester, UK: Develop new principles and probabilistic machine learning methods for Advanced User Modelling, sequential decision making and Automatic Experimental Design, with and without a Human-in-the-Loop. PhD students in Manchester, UK. FCAI is looking for Postdocs, Research fellows, and PhD students in Machine learning and AI. Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki are looking for several postdocs, research fellows and PhD students to join us in creating new machine learning techniques – your work can be theoretical or applied, or both. We have opportunities in the following areas of research: 1) Reinforcement learning 2) Probabilistic methods 3) Simulation-based inference 4) Privacy-preserving machine learning 5) Collaborative AI and human modeling 6) Machine learning for science.