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Postdoc in Embedded Deep Learning

  • On-site
    • Brest, Bretagne, France
  • Electronique et mécanique

Job description


Internationally recognized generalist engineering school of the IMT (Institut Mines-Télécom), a leading French engineering school
(Technological University), IMT Atlantique aims to support transitions, train responsible engineers, and use scientific excellence to serve
teaching, research, and innovation.

BRAIn (Better Representations for Artificial Intelligence) is a research team within the Lab-STICC (CNRS UMR 6285), part of the Mathematical and Electrical Engineering (MEE) department at IMT Atlantique. The team's mission is to investigate key questions at the intersection of Artificial Intelligence, Deep Learning, and Signal Processing, with applications spanning images, sounds, texts, and more complex domains, including neuroimaging data.

As part of the ProPruNN project, which focuses on few-shot learning, model compression and geometric data structures to improve AI adaptability, we are recruiting a Post-Doctoral Fellow in our Mathematical and Electrical Engineering (MEE) department.
In collaboration with the project team working on deep learning, signal processing and embedded systems, and under the functional responsibility of the BRAIn team leader you will conduct research on compression techniques for deep learning models. You will develop and optimize models for microcontrollers, embedded GPUs, FPGAs or ASICs, taking into account energy efficiency and computational constraints. You will contribute to the writing of scientific articles and take part in conferences and workshops.


Job description for more information

Job requirements

Minimum education and/or experience required:

 PhD obtained less than 3 years before date of hire in computer science, electrical engineering, machine learning, embedded systems, or a related field.


Essential skills, knowledge and experience:

  • Strong background in deep learning and model compression techniques (quantization, pruning, knowledge distillation, etc.).
  • Experience with embedded AI and deployment on microcontrollers, embedded GPUs, FPGAs, or ASICs.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Knowledge of hardware-aware optimizations and energy-efficient AI.


Abilities and skills:

  • Ability to design, implement, and evaluate deep learning models on constrained hardware.
  • Strong problem-solving skills and an ability to work on interdisciplinary projects.
  • Excellent scientific communication skills, including writing research papers and presenting at conferences.
  • Capacity to work both independently and collaboratively within a research team.


APPLICATION DOCUMENT

  • CV
  • Cover Letter
  • Recommendation Letter

For further information*:

Application deadline: 06/10/2025

Start of the contract: September 2025

Recruitment interview: as applications are received


Legal Notice :

  • Type and duration of contract : fixed-term (12 months) public-law contract or secondment on a renewable contract for civil servants
  • Location of the position:
    • IMT Atlantique campus de Brest – 655 avenue du Technopôle, 29280 POUZANÉ
  • For internal use :
    • Job-category : II P
  • Positions offered for recruitment are open to all, with special arrangements available on request for candidates with disabilities
  • Position open to civil servants and/or persons on contract
  • All applications may be subject to an administrative enquiry

Application form

To be complete, the application must include a CV, a covering letter, letters of recommendation and/or contact details for referees. If the applicant got a PhD, the thesis report and list of publications may be added to the application as optional documents.


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