PhD Position “Machine Learning of Multi-Species Microbial Consortia Representations”
In this project, we aim to capture and utilize natural resources (e.g., natural fibers) and waste resources (e.g., CO2) to develop catalytic living materials (cat-LMs) that are robust, energy efficient and scalable for chemical production. The goal of this PhD project is, in particular, to develop machine learning models that can predict the properties of multi-species microbial communities from fundamental properties of bacteria. The successful candidate will perform cutting edge computational research on the development of digital bacterial representations and the machine learning guided prediction microbial consortia properties and their optimization. [read more]