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ABOUT THE ROLE

This is an exceptional opportunity for an ambitious Research Associate to join a team integrating AI approaches with the design and implementation of biosynthetic pathways, in the group of Prof Geoff Baldwin at the South Kensington Campus. We are using CRISPR\Cas tools to target specific nodes in the E. coli metabolic network to create perturbations to metabolism.
This project seeks to integrate this approach with AI approaches to interpreting data with metabolic models. The work will be done in collaboration with the group of Prof. Jean-Loup Faulon (INRAE, Paris), who has developed a neural network-based approach to genome scale metabolic models (doi: 10.1038/s41467-023-40380-0). The project also seeks to explore alternative cutting-edge AI methodologies for the analysis of experimental data with a view to implementing active learning to create a self-optimising closed-loop system. You will be highly motivated, with good teamwork skills and a knowledge of both computational and coding approaches alongside well developed laboratory skills.

WHAT YOU WOULD BE DOING

You will be responsible for developing and implementing AI methods for the analysis and interpretation of experimental data. You will actively plan the computational research methodologies and the execution of experimental analysis. This will require close collaboration with experimentalists to ensure that the approaches being developed are applicable to the data streams being generated.
You will actively participate in programme and team meetings, project updates, and collaborative discussions both internally within the team and with external partners. You will be expected to present work through the writing of papers for publication and attendance and presentation at conferences.
You will provide guidance and direction to undergraduate and postgraduate students, fostering a collaborative and productive research environment.