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Research Engineer in ECG Signal Processing (M/F) ref: 1234

  • Hybrid
    • Nantes, Pays-de-la-Loire, France
  • €34,758 - €37,920 per year
  • Laboratoire des sciences du numérique de Nantes (LS2N)

Job description

Centrale Nantes is a prestigious engineering school which awards degrees to engineers, Master’s students and PhD candidates upon completion of academic programmes based on the very latest developments in science and technology and on best management practices.

As a member of the Groupe des Écoles Centrales (Lille, Lyon, Marseille, Nantes and Paris), our school provides high-quality education for highly selective students.

A public institution under the supervision of the Ministry of Higher Education, Research and Innovation, Centrale Nantes has over 2,250 students, 500 staff members and 600 part-time lecturers.

Job description:

Based at École Centrale de Nantes, the Nantes Digital Sciences Laboratory (LS2N) is a joint research unit affiliated with the CNRS, with five co-supervising institutions (Nantes University, ECN, CNRS, IMT Atlantique and Inria). The LS2N is located in Nantes across five sites.

We are seeking a Research Engineer specialising in ECG signal processing to develop a software tool for analysing 12-lead ECG recordings, designed to assess eligibility for the implantation of a subcutaneous cardiac defibrillator.

Below are the main responsibilities you will be entrusted with:

  • Implementing methods for analysing 12-lead ECG images

  • Contributing to the design of software for the automated processing of 12-lead ECG images

  • Contribute to the implementation of artificial intelligence-based analysis methods

  • Draft the software test and validation report

  • Draft the development guide for the processing software

  • Draft the technical user manual for the software

  • Contribute to the implementation of techniques for predicting eligibility for the implantation of a subcutaneous cardiac defibrillator

Job requirements

Technical skills:

  • Basic understanding of ECG signal analysis methods

  • Proficiency in automatic classification techniques

  • Proficiency in deep neural network optimisation methods

  • Proficiency in Python programming

Organisational skills:

  • Ability to prioritise different tasks

  • Deliver usable outputs on time

Adaptability skills:

  • Ability to adapt to different types of data and ECG signals

  • Ability to adapt to collaboration in an interdisciplinary context

  • Interpersonal and social skills:

  • Ability to work as part of a team

Required qualifications: You must hold a postgraduate qualification (Bac+5). A PhD in biomedical engineering, applied mathematics or a related field would be particularly welcome.

What we offer:

  • 13-month fixed-term contract

  • Open to contract staff and civil servants

  • Full-time role – based in Nantes

  • Flexible working hours

  • Travel may be required

  • Flexible working patterns (option to work a 4.5-day week)

  • RTT + additional leave

  • Remote working possible

  • Remote working allowance

  • Free parking

  • 75% travel allowance

  • Sustainable mobility bonus (for cycling or car-sharing)

  • Compulsory health insurance and optional pension scheme

Remuneration: in accordance with the State civil service pay scales – Category A

Start date: November 2026

HR contact: Eloïse LEHOUX

Manager contact: Said MOUSSAOUI

This advert refers to terms such as ‘candidate’, ‘engineer’, ‘manager’, etc. These titles are to be understood as gender-neutral and apply equally to women and men.

Centrale de Nantes is committed to equality and diversity. In line with our organisation’s CSR commitments, this vacancy is open to all.

or

Hybrid
  • Nantes, Pays-de-la-Loire, France
€34,758 - €37,920 per year
Laboratoire des sciences du numérique de Nantes (LS2N)