Ref. 4365_Att. 4 - Innovative techniques for measuring physicochemical parameters in agri-food matrices for product and process controlInnovative techniques for measuring physicochemical parameters in agrifood matrices for product and process control
Core
Develop and validate non-destructive sensor systems using electromagnetic techniques (radio frequencies to optical wavelengths) and multivariate statistical models to measure physicochemical quality attributes in agri-food matrices.
Role type
Research Scientist (Sensors & Data Analytics)
Builds
Non-destructive measurement systems and predictive models for agri-food product and process control
Domain
Agri-food industry, Sensor technology, Data analytics
Deliverable
production ML models | product features
Required skills
Electromagnetic sensing, Multivariate statistical analysis, IoT device integration, Data acquisition, Model validation, Process control
Preferred skills
None stated
Technologies
IoT devices, Radio frequencies, Optical wavelengths
Responsibilities
Study and develop sensors for data acquisition and processing, Validate systems for at-line and in-line process applicability, Develop models to estimate and predict parameters of interest
Seniority
Mid-level Researcher
