A postdoctoral position is available in food chemical fingerprinting at the Food Toxicant Laboratory of the McGill University in Montreal. The objective of the project is to compare different chemometric approaches for the authentication (floral origin, adulteration) of honey using LC-MS based fingerprints. This position is focused on food fraud detection and involves the developpement of Python based workflows to deploy classification models using a dataset of more than 300 LCMS fingerprints from honey samples obtained on different instruments.

More details can be found here.