Thomas Deneux is a researcher working at the intersection of Artificial Intelligence and Neurobiology at the French National Centre for Scientific Research (CNRS). He completed his PhD in AI at the École Normale Supérieure in Paris, followed by postdoctoral research in Neurobiology. He now leads the Data Analysis team at the Paris-Saclay Institute of Neuroscience. His main scientific contributions lie in developing new methods for analyzing neurobiological data, applied across a wide range of neural activity acquisition techniques—including fMRI and EEG in humans, as well as optical recording and two-photon microscopy in rodents. More recently, his research has shifted toward Science Education, where he has created innovative approaches to teaching Artificial Intelligence and fostering students’ meta-cognitive skills. Thomas Deneux is also an entrepreneur: he founded the company Learning Robots, which markets the "AlphAI" kit to teach AI through educational robots and intuitive visualizations of AI algorithms.
Interns will join the AI Educational Software Development team, focusing on creating, refining, and testing tools that teach artificial intelligence concepts through interactive robots and intuitive visualizations. This team blends expertise in AI programming, robotics integration, and educational design to build hands-on learning platforms.
Teaching Artificial Intelligence is a priority for Education as this technology has huge impacts on industry, the economy and society. But how can we empower the whole of society with a deep enough understanding of the fundamentals of AI functioning? The Learning Robots company made this possible by creating the "AlphAI" robots to teach AI fundamentals in a tangible and playful way. Students first understand the importance of data while training their robot for fun, autonomous robot races. Later, students learn through the visualization of the robots' internal "artificial neural networks" how it works and then they code their own AI in Python language. AlphAI has a very broad target market, from early education at elementary school to expert-level use in University-level and Corporate Executive Education.
The purpose of the internship is to contribute to the development of the “AlphAI” educational software. This software’s main functionalities include controlling a wide range of educational robots using AI, implementing the AI algorithms themselves (with an interface to acquire training data), and providing graphical interfaces that help students understand how these algorithms work.
We can offer a variety of internship topics depending on the student’s specific skills and background. For example, students might work on:
From June 8 to August 31, 2026 (adjustable at the discretion of the organisation)