Assistant/Associate Professor in Embedded Artificial Intelligence at Télécom Paris - CDI

Palaiseau, France

Applications have closed

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L’IMT soutient l’innovation et le développement des entreprises. Il forme pour l’économie chaque année 12 000 ingénieurs, managers et docteurs.

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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 the top 5 French 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.

The school is committed to providing an environment conducive to the development of all students and faculty members, and is voluntarily and sustainably committed to an ambitious plan for social and ecological transition. It is working to increase the number of female faculty members and to reduce the disparities between men and women.

With its excellent teaching and research, Télécom Paris is at the heart of a unique innovation ecosystem based on the transversality of its training, its research departments and its business incubator.



SCIENTIFIC CONTEXT

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.


MISSIONS AND ACTIVITIES

Teaching : 

The person recruited will be expected to participate in teaching in his/her scientific field.

Research:
We are looking for someone whose main areas of expertise are embedded systems architecture and design methods and frugal AI algorithms.

Animation:

Participates in and contributes to the scientific animation of the Group that hosts him/her (seminars, defenses, juries).

Contribute to the reputation of the Ecole Polytechnique and the Institut Polytechnique de Paris:
The person recruited will be expected to publish the results of his or her research work and give presentations and lectures; become involved in learned or professional societies and maintain close relations with academic institutions, research centers and companies.


Requirements

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.

The quality of the application will be assessed based on the scientific background and the integration project described in the submitted dossier, as well as the interactions with the host team and the recruitment committee. Special attention will be given to scientific output, experience in academic or industrial projects and collaborations in France or internationally, and teaching experience.

While we are seeking a candidate with the above-mentioned skills, we are also interested in applications from individuals with expertise in other relevant domains, as evidenced by contributions to research and teaching activities in the main field of the position. Candidates are therefore encouraged to mention their potential skills in information and communication technologies, including microelectronics, dependability of electronic systems (reliability analysis and improvement, fault tolerance), and embedded systems security (cryptography, physical or software attacks, and associated protections).

Education:

  • PhD or equivalent;
  • Civil servant belonging to a body recruited through the École Polytechnique or ENA or former student of the École Normale Supérieure with professional experience ≥ 3 years ;
  • Graduate of a School of Engineering or Business and Management or equivalent with professional experience ≥ 5 years
  • Holds a post-graduate degree and has ≥ 5 years of professional experience
  • Is a high-level business executive with ≥ 8 years of professional experience

Essential skills, knowledge and experience:

  • In-depth knowledge, theoretical or applied, in his/her field
  • Fluency in English.

Desirable skills, knowledge and experience:

  • Post-doctoral or international experience in an academic or industrial laboratory appreciated ;
  • Teaching experience.

Abilities and skills:

  • Ability to work in a team, interpersonal skills;
  • Pedagogical skills;
  • Ability to write and synthesize.


Applicants should submit :

  • a complete and detailed curriculum vitae (max 2 pages)
  • cover letter,
  • a report of activities (table of activities) in research (supervision, problems, ...), teaching (title, volume, ...) and collective tasks (max 4 pages)
  • a description of teaching (summary of activities, integration project in teaching at university level and continuing education) (max 4 pages)
  • a research description (summary and results of activities, research integration project) (max 4 pages)
  • a copy of the 3 best publications, list of publications
  • the names and addresses of two qualified personalities who can give an informed opinion on the application.

Contact for further information:


The selection process consists in several steps:

  • Elimination of applications that do not have the required qualifications
  • Exchange with the host team to establish a list of short-listed candidates
  • Preliminary interview with Human Resources
  • Hearing by the recruitment committee and ranking of successful candidates
  • Final interview with the Director of Télécom Paris


ADDITIONAL INFORMATION :
Application deadline: September 12th, 2023
Full job description here.


Telecom Paris is an equal-opportunity employer.
All our positions are open to individuals with disabilities.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Circuit Design Engineering FPGA Industrial Machine Learning PhD Research Security Teaching

Perks/benefits: Career development

Region: Europe
Country: France
Job stats:  15  0  0
Category: Research Jobs

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