Assistant/Associate Professor in Embedded Artificial Intelligence-CDI
Institut Mines-Télécom
Who are we?Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of France’s top 5 general engineering schools.
The raison d’être of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.
Télécom Paris is positioned as an open-air laboratory for all the major technological and societal challenges: artificial intelligence, quantum computing, IOT, cybersecurity, major digital facilities (Cloud), 5G/6G, Green IT.New digital applications require more and more connected objects integrating complex algorithms and having to satisfy a high level of performance and robustness (autonomous vehicle, IoTs, high-speed networks, industry 4.0, smart home, etc). The SSH team responds to these new needs with ambitious projects in collaboration with numerous academic and industrial partners. The team’s research focuses on the architectures of embedded systems and digital circuits under strong constraints aimed at optimizing performance in terms of execution speed, security, reliability, complexity and low power. The validation of the properties to be satisfied is based on mathematical formalism, model simulations and prototype designs based on hardware and software technologies.Télécom Paris has identified a strong need in the areas of Artificial Intelligence/Machine Learning (AI/ML) with applications relying on Internet of Things and embedded systems. The use of artificial intelligence algorithms in embedded systems is a major and strategic use case addressed by SSH. Inferring AI models at the “edge” or end-user level in connected objects provides many benefits that require exploration at all levels: algorithms, architectures, technology, and optimization of computation and memory in resource-constrained systems. The implementation of AI models must also be done without compromising the safety and security of algorithms and data. This research is done in close collaboration with teams competent in circuit design (C2S, LabSoC), embedded software (ACES) and machine learning (S2A) at Télécom Paris.The SSH team is also characterized by an important teaching activity in the engineering and Masters courses on the theme of embedded systems with a pedagogy marked by practical work and projects. It relies on research activities in order to integrate into its courses the most recent technologies and design methods.Your main tasks will be to:– Design and implement teaching in your scientific field
– Conduct research in your scientific field
– Develop and maintain partnerships, collaborations and contractual relations in your scientific field.This position is aimed at a scientist holding a doctoral degree, at the early or mid-career stage, who seeks to develop and establish expertise in research while also wishing to enhance and evolve their teaching skills.As the activities will focus on the design of hardware architectures for embedded AI and/or machine learning, the recruited individual should possess skills in the following areas:– Architectures and design methods for embedded systems based on hardware technologies (FPGA or ASIC) or software technologies (processor cores and their software layers)
– Frugal AI algorithms, particularly those based on efficient in-memory and energy machine learning, taking into account hardware constraints, Tiny ML, and/or on-device learning.
Palaiseau, Essonne
Fri, 10 Jan 2025 04:00:51 GMT
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