PhD Scholarship: Deconvolving Individual Bioaerosol Signatures Using AI-Driven Analysis of Complex Biological Datasets

We are currently looking for a PhD candidate to work on an Office of National Intelligence, National Intelligence Discovery funded grant titled “Integrated, Controlled and Networked-Change Authentication Unit (I,CaN-CU)”. The primary focus of this project is to determine whether individual human bioaerosol signatures can be detected and distinguished within a shared indoor space.  This project includes the integration of environmental aerosol sampling technologies, high-resolution chemical analysis, and AI-driven signal deconvolution. Specifically, this project aims to develop and refine an AI-based framework capable of identifying individual-specific bioaerosol signatures from complex biological data. The PhD candidate will join a productive, multidisciplinary research team and contribute to a research programme that has a strong emphasis on emerging technologies.