Project description (context and objectives):

As part of the EnRDIA project, backed by the ANR DIA-SOLAIRE projecthttps://dia-solaire.univangers.fr/fr/index.html), we are recruiting a design or research engineer to develop an innovative digital tool based on artificial intelligence. The tool will enable the generation of real-time alerts, the sharing of operational data and expertise, the implementation of user interfaces adapted to field operators, and the development of operational and predictive maintenance recommendations.

Description of the main objective that will determine the end of the contract:

The objective of the work is to create an AI-based tool that can be used on tablets, the internet, and smartphones, enabling the issuance of predictions of electrical performance over time based on a downloaded database of measurements, as well as alerts on the health of the production system in order to anticipate losses. 
 

Description of tasks and activities:

• Scoping and requirements analysis phase: Analysis of the context of the EnRDIA project and its relationship with DIA-SOLAIRE. Identification of stakeholders (researchers, operators,field staff), collection of functional and technical requirements, definition of priority use cases (alerts, data sharing, maintenance).
• Functional specification and tool design: Drafting of functional and technical specifications for the digital tool. Design of the software architecture and data flows. Selection of artificial intelligence methods and models suited to the objectives of monitoring and predictive maintenance.
• Data collection, structuring, and preparation: Setting up pipelines for collecting operational and expert data. Cleaning, structuring, and annotating the data needed to train and validate AI models.
• Development of AI modules and alert systems: Development and integration of algorithms for analysis, anomaly detection, and real-time alert generation. Development of initial models for operational and predictive maintenance recommendations.
• Design and development of user interfaces: Development of user-friendly interfaces adapted to the different profiles of field operators. Integration of visualization, data sharing, and expertise feedback features. Creation of a digital twin.
• Testing, validation, and continuous improvement: Functional and technical testing phase in real or simulated conditions. Adjustment of models, improvement of performance and ergonomics based on user feedback.
• Deployment, documentation, and promotion: Gradual deployment of the tool. Drafting of technical and user documentation. Contribution to the scientific and technical promotion of the project (reports, deliverables, communications).