AI Research Engineer – ref 1160 (M/F)

Centrale Nantes is a prestigious engineering school that awards degrees to engineers, Master’s students and PhD candidates following academic programmes based on the 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, Inria). LS2N is located across five sites in Nantes.

We are looking for a research engineer who can facilitate access to AI computing resources and improve the reproducibility of AI methods. Below are the other tasks you will be assigned:

• Guiding the selection of relevant methods and tools based on the problem at hand and the architecture of the targeted computing machines

• Designing methods for modelling, computation and visualisation of results

• Leading the experimental validation of computational methods designed to address a scientific problem

• Assess the quality of the code, the quality of the results and their interpretation

• Participate in national and international research projects and associated publications

• Manage the lifecycle of computational data, its organisation and the monitoring of its use through to visualisation

• Establish a technology watch on developments in the relevant hardware architectures and systems

Technical skills:

• Knowledge of data, signal and image processing methods, particularly those used in the medical field

• Proficiency in scientific programming tools: Python, PyTorch, TensorFlow, Weights and Biases

• Proficiency in machine learning methods

• Ability to analyse existing code, apply it to data, quantify performance and propose improvements to methods.

• Proficiency in oral and written scientific communication in English: C1 (Common European Framework of Reference for Languages)

• Proficiency in connecting to computers

Organisational skills:

• Planning the required experimental validations

• Proposing appropriate methodologies, taking into account the objectives and constraints of the project

• Implementing connection guides for the various systems

• Collecting and publishing online a selection of existing methods and code

Adaptability skills

• Conducting professional activities in collaboration with PhD and Master’s students involved in the project

• Taking appropriate initiatives (working independently)

• Sharing expertise to contribute to the development of skills

• Getting involved in scientific monitoring activities

Interpersonal and social skills:

• Communicating and coordinating research activities with the team

• Facilitating meetings

Required qualifications: You hold a master’s degree (Bac+5). A PhD in medical image analysis, computer vision, signal processing, biomedical engineering, computer science, medical physics, applied mathematics or a related field would be particularly advantageous.

Working conditions:

• 16-month fixed-term contract

• Open to contract staff and civil servants

• Full-time role – based in Nantes

• Flexible working hours

• Travel required

• Work across multiple sites: Centrale Nantes, Nantes University Hospital

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

• RTT + additional leave

• Teleworking possible

• Teleworking allowance

• Free parking

• 75% transport reimbursement

• Sustainable mobility allowance (if cycling or carpooling)

• Compulsory health insurance and optional pension scheme

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

Start date: September 2026

HR contact: Eloïse LEHOUX

Manager contact: Diana MATEUS