Artificial intelligence algorithms for monitoring antibiotic residues
Work description
The scope of the Smartgnostics project includes developing a monitoring device to monitor antibiotics and antibiotic residues in water, soil and food. This device will make it possible to monitor antibiotics and antibiotic residues to measure the impact of these residues on the selective pressure for the creation of new multi-resistant bacterial strains, correlating with their appearance and contributing to the creation of an action plan for the detoxification and elimination of these residues. The development begins with the device's design and molecular tests on antibiotics and antibiotic residues. It includes building a beta prototype, testing specificity and detection limits, and validating the matrix. To increase the potential of this device, a data integration platform will be developed with analytics and machine learning capabilities. This work focuses on the development and validation of the device.
Academic Qualifications
Industrial Engineering and Management
Minimum profile required
At least 2 papers published in the last 5 years in journals Q1 in the field of Artificial Intelligence or Management Science and Operations Research (Scimago).Advanced knowledge of English (spoken and written).
Preference factors
Experience in prescriptive modelling, scientific publications and participation in R&D projects.
Application Period
Since 14 Nov 2024 to 27 Nov 2024
Centre
Industrial Engineering and Management