AI Research Engineer

Organisation/Company UNIVERSITE ANGERS Department Human Resources - Recruitment Research Field Computer science Researcher Profile Established Researcher (R3) Positions Master Positions Application Deadline 12 Apr 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Project description (context and objectives ):

As part of the EnRDIA project, backed by the ANR DIA-SOLAIRE project ( 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).

Technical and scientific skills sought (including but not limited to):

• Knowledge of artificial intelligence applied to physical systems
• Proficiency in processing and analyzing heterogeneous data
• Ability to design the architecture of a software tool (modular, scalable, collaborative)
• Development of user interfaces (web or application)
• Basic knowledge of mobile application development (Android/iOS or multi-platform)
• Database management and structuring of complex data sets

Desired cross-functional skills:

• Ability to work in a collaborative research environment (academic and industrial)
• Autonomy, scientific rigor, and initiative
• Ability to interact with a variety of profiles (researchers, engineers, industrialists)
• Ability to synthesize and communicate information (technical reports, presentations)
• Interest in projects with a societal and environmental impact

Proficiency in the following tools:

• R (preferred) or scientific equivalent
• Web or mobile applications (Flutter, React, PWA, etc.)

Knowledge of the following frameworks and environments:

• Data analysis and processing: NumPy, Pandas, SciPy
• Machine learning/AI: Scikit-learn, TensorFlow, PyTorch (preferred)
• Data visualization: Matplotlib, Seaborn, Plotly

Languages FRENCH Level Good

Languages ENGLISH Level Good

Additional Information

Gross monthly salary: Between €2,290 and €2,486 (depending on experience)