The work will be carried out within the framework of a research project entitled “DIGIT4WATER - Development of digital tools based on Machine Learning models for the prediction of removal levels of different pollutants in advanced tertiary treatments”, whose principal investigators are Dr. David J. Vicente González and Dr. Fernando Salazar González, research and leader respectively of the “Machine Learning in Civil Engeneering” research group. This contract is part of the project TED2021-129969B-C33 funded by MICIU/AEI /10.13039/501100011033 and by European Union NextGenerationEU/ PRTR. Project TED2021-129969B-C33 funded by:
The candidate is expected to develop digital tools to improve advanced tertiary treatments, by predicting removal levels of target pollutants. To this end, Python programing language will be used in order to carry out the following tasks: (i) develop algorithms to create an Early-Warning System (EWS) and a Decision Support Tool (DST), (ii) connect a set of pre-existing Machine Learning models with the above algorithms and (iii) elaborate Graphical User Interfaces (GUIs) that allow third-users to operate these digital tools.
More information about the Project available at: CIMNE RTD (Project: DIGIT4WATER).
The deadline for registration to the offer ends on September 9th, 2024 at 12 noon.
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