We are looking for a PhD in Artificial Intelligence with at least three years of experience to strengthen our team and contribute to the advancements of our research program.
We adopt an approach that combines fundamental research with practical applications in artificial intelligence, with a particular focus on generative AI. This approach, both generic and adaptable to industrial needs, is based on two main pillars:
Research and Development (R&D): This phase includes the scientific and experimental study of various AI approaches to address specific challenges. Once validated, these solutions are implemented as services that can be used by our final applications. AI researchers and PhDs work closely with R&D engineers to ensure the relevance and efficiency of the developed solutions.
Engineering and Integration: This stage aims to design operational solutions that meet end-user needs. It covers all technical aspects, including user interface, authentication, security, scalability, and access management. This is a comprehensive process that includes the design, development, and deployment of solutions.
Our research covers fundamental fields such as Natural Language Processing (NLP), Computer Vision, knowledge modeling in neural networks, as well as issues related to privacy and cybersecurity. Our practical applications include business process automation, anonymization, code generation, document analysis, and data entry assistance.