Doctoral Candidates in the Field Of Probabilistic Modelling And Stochastic Control Of Chemical And Biochemical Systems

The Process Control and Automation group of the Aalto University, School of Chemical Engineering is growing. With this call Aalto University is searching for up to twohighly motivated

DOCTORAL STUDENTS

who want to join in advancing our research at the intersection between statistical machine learning and automatic control. Our team is a vibrant research group bringing together expertise in chemical engineering, control theory and applied mathematics. We are proud to be an innovative group with a focus on state-of-the-art investigations and with a world-class infrastructure for research.

Aalto University is offering two fully-funded doctoral candidate positions in the field of probabilistic modelling and stochastic control of chemical and biochemical systems. We explore how data and domain knowledge can be integrated in system level analyses that combine mechanistic modelling, machine learning, control theory, and optimisation. Our main projects regard the dynamics and control of biological and environmental systems where phenomenological representations, model and measurement uncertainty, and probabilistic modelling and programming are combined. We are especially interested in sample-efficient statistical machine learning and deep learning for dynamics and control.