The goal of DECIMA is to develop techniques for facilitating design-supporting numerical models for microfluidic-based manufacturing, such as inkjet printing. The main work to be done is to develop a Machine Learning framework that can use numerical simulations (carried out by the in-house HPC CFD code) and/or experimental data for predicting the characteristics of the microfluidic flow (jet, droplets) as a function of a series of input parameters (properties of the fluid, nozzle, operation parameters of printing device etc.). As a first step a machine learning algorithm will be implemented that shall be able to recognize different droplet/jet ejection modes using graphical data (snapshots of the simulation, photos of experiment).
Note that the described work is compatible with the development of a PhD thesis at Technical University of Catalonia (UPC-Barcelona Tech).
The deadline for registration to the offer ends on September the 25th, 2023 at 12 noon.
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