Post-Doctoral Fellow In Embedded Machine Learning At Télécom Paris - Cdd 24 Month

Universities and Institutes of France


July 1, 2022


  • Organisation/Company: Télécom Paris
  • Research Field: Other
  • Researcher Profile: First Stage Researcher (R1)
  • Application Deadline: 01/07/2022 08:00 - Europe/London
  • Location: France › PALAISEAU
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Hours Per Week: 37
  • Offer Starting Date: 01/09/2022
  • Télécom Paris, a founding member of Institut

    Polytechnique de Paris and a part of IMT (Institut Mines-Télécom), is

    ranked as one of the top 5 engineering schools in France. Recognized for

    its invaluable corporate connections, Telecom Paris is an institution

    with a strong sense of community and international representation. This

    public higher-education establishment guarantees excellent employability

    in all sectors and is the leading engineering school for the entire

    digital spectrum (from hardware to software technology).

    With its high-level instruction and innovative pedagogy, Télécom

    Paris is at the heart of a unique innovation ecosystem which is based on

    collaborative classroom engagement, an emphasis on project-based

    training, and multidisciplinary research. Our scientific faculty are

    affiliated with two key research laboratories; first, the LTCI

    laboratory, which is recognized by the HCERES as a leading facility in

    the field of digital sciences and has a remarkable international

    outreach. And second, the i3 laboratory, Interdisciplinary Institute of

    Innovation (I3 - UMR 9217 of the CNRS), which carries out

    multidisciplinary research focused on innovation and in collaboration

    with the École Polytechnique and Mines ParisTech.

    Based in Palaiseau, France at the heart of the Institut

    Polytechnique campus alongside the École Polytechnique, ENSTA, Télécom

    Sud Paris and ENSAE, Télécom Paris also has a central-Paris incubator at

    the epicenter of the French start-up ecosystem.

    Télécom Paris is a living laboratory for all the major

    technological and societal challenges including Artificial Intelligence,

    Quantum Computing, IoT, Cybersecurity, large-scale digital equipment

    (Cloud Computing), 5G/6G, and Green IT.


    Machine learning is the key to make sense of the huge amount of data

    being generated by the sensors. Among the machine learning techniques

    deep learning neural networks occupy a prominent share thanks to their

    great success in computer vision, speech and natural language processing


    Due to its huge computing requirement, a major amount these data has

    to be transferred to the distant cloud servers, which poses a few


  • Response time / high latency
  • Security concerns as private data needs to be transferred to the cloud
  • Intermittent / bad network connection (availability)
  • Some applications have strict latency requirements
  • To solve the above issues, one solution is to to move computing tasks

    from cloud to the Edge (close to sensors) also known as Edge Computing

    or Edge-AI. The types of devices in need of edge computing are:

    Smartphone, Cameras, Drones, Home assistants, Industrial Equipment, to

    name a few. Almost all of end user applications are concerned by edge

    computing, such as Automotive, Consumer Electronics, Healthcare,

    Manufacturing, Transportation, Robotics.

    However computing at the edge has strict constraints such as small

    form factor, low power consumption, low latency, and innovative

    solutions are required to make edge computing a reality.

    Our project aims to provide a part of that solution through a Silicon

    IP. We have a working prototype on FPGA which provides the Edge-AI

    capability and we plan to transform this prototype into Silicon, to

    achieve better Flops/Watt compared to the FPGA design.


    Here at Télécom Paris, we are looking for a machine learning

    enthusiast with a Hands-On approach and a passion for hardware. This

    position is targeted at PostDoctoral experience level. (S)He will be

    working on an exciting prototype chip for embedded machine learning to

    be fabricated in TSMC 28nm Technology.

    The initial assignment is for two years (renewable) and the goal is

    to transform a FPGA validated design to silicon and optimize it for low

    power. More info on the FPGA validated design can be found here:

    Approxitrack ASIC: https: // dac- Possibility of further renewal.


  • The assignment requires both hardware design and machine learning expertise.
  • A good publication record in important conferences/Journals in this domain is a plus.
  • The post-Doctoral Fellow will work in an international environment in the SSH group at Télécom Paris.
  • The main responsibilities of the job will be to design and maintain our home-grown neural network accelerator.
  • Transform it into an ASIC design in 28nm.
  • Optimization for Low power.
  • Guiding of PhD. And masters students.
  • Teaching assignments if the candidate wishes to do so.
  • Selection process


    Applications should be submitted using the following linkMOU1 : URL RECRUIT and include:

    - A detailed CV

    - A cover letter

    - Any element considered useful for the examination of the application

    Additional comments

    In order to be considered, applications must be received no later than: 01/07/2022

    Scientific contact person:

    Administrative contact person:

    Administrative contact person:

    Telecom Paris is an equal-opportunity employer.

    All our positions are open to individuals with disabilities.

    Offer Requirements Skills/Qualifications

    Required skills, experience, and knowledge :

  • FPGA/ASIC design experience
  • Preferred skills, experience, and knowledge :

  • Familiarity with Linux Command line and scripting are required.
  • Other abilities and skills :

  • Knowledge of CNN(convolutional Neural Nets)optimization such as pruning/quantization is a plus.
  • Specific Requirements

    Candidates with the following qualifications may apply

  • PhD or equivalent
  • Contact Information
  • Organisation/Company: Télécom Paris
  • Department: COMELEC
  • Organisation Type: Higher Education Institute
  • Website: https: // www.
  • E-Mail:
  • Country: France
  • Street: 19 Place Marguerite Perey
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