M/F Integration of an embedded AI algorithm in a medical device

European Commission; France; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A leading research institute in France is seeking an embedded electronics specialist to adapt AI algorithms for a medical device aimed at restoring hearing. The successful candidate will work on real-time implementation and prototype testing, collaborating with a diverse team. This role offers potential for future involvement in a startup focused on innovative technologies in hearing restoration.

Qualifications

• Expertise in embedded electronics (PhD & Master Electrical Engineering) through the realization of research or industrial projects.
• Expertise in Python programming and possibly PyTorch.
• Desirable experience in the optimization of deep learning algorithm for embedded electronics.
• Team spirit and ease of interaction with colleagues of diverse expertise (neuroscience, engineering, business).

Responsabilités

• Adapt the algorithm for real-time implementation on embedded electronics.
• Implement and test an embedded sound processing prototype.
• Synthesize work carried out and present at meetings.
• Participate in funding search and interaction with suppliers.

Description du poste

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Organisation/Company CNRS Department Institut de l'Audition Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Aug 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Neural Code and Dynamics team at the Institut de l'Audition is developing a new medical device for restoring hearing through direct brain stimulation. This embedded device implements an artificial intelligence algorithm that processes auditory information in real time. We are looking for an embedded electronics specialist to adapt the algorithm to the device's technical constraints, and to design the medical device's electronic system. This project prefigures the creation of a startup to market the medical device, in which the person hired for this position could take part.

Technical activities
- Introduction to an artificial intelligence algorithm for sound processing using convolutional networks (PyTorch programming).
- Adaptation of the algorithm for real-time implementation on embedded electronics
- Implementation and testing of an embedded sound processing prototype using, for example, programmable components (FPGA)
- Technology watch and evaluation of technological options for the design of the final medical device
- Drawing up of a technical proposal for the electronics of the medical device in liaison with potential suppliers

General activities
- Synthesis of work carried out and presentation at meetings with the project development team.
- Participation in the search for funding and fund-raising
- Interaction with suppliers of technical solutions

The position is part of the Braincoder project supported by the Institut de l'Audition and the IPEPs industrial maturation program of the Institut du Cerveau. This project is based on recent results demonstrating the feasibility and impact of a cortical implant for hearing restoration. These results have emerged from European projects supported by the European Research Council (ERC) and the European Innovation Council (EIC). The aim of the Braincoder project is to create a major industrial player in brain-machine interface technologies, with new expertise in the coding of information transmitted to the brain. The position offered will enable the successful candidate to join the company at the end of 2026. The position will be shared between the Institut de l'Audition (Brice Bathellier's team) and the Institut du Cerveau (Braincoder project premises), two leading neurobiology institutes located 15 minutes by bike from each other.

- Expertise in embedded electronics (PhD & Master Electrical Engineering) through the realization of research or industrial projects
- Expertise in Python programming and possibly PyTorch
- Desirable experience in the optimization of deep learning algorithm for embedded electronics
- Team spirit and ease of interaction with colleagues of diverse expertise (neuroscience, engineering, business)