Research Engineer - Medical image quality control tools to assess radiation-induced neurotoxicity

European Commission; France; Sur place; EUR 35 000 - 50 000; Plein temps

Résumé du poste

Une institution de recherche de renom recherche un candidat motivé pour un projet sur la neurotoxicité liée à la radiothérapie. Le poste implique des compétences en imagerie médicale et en programmation Python, avec un environnement de travail collaboratif et stimulant. Des avantages tels que le télétravail et des congés supplémentaires sont offerts.

Prestations

Remboursement partiel des frais de transport

7 semaines de congés annuels + 10 jours supplémentaires

Possibilité de télétravail

Équipement professionnel disponible

Événements sociaux et culturels

Qualifications

• Compétences en imagerie par résonance magnétique.
• Compétences en analyse d'images nécessaires.
• Fluente en anglais, préférence pour le français.

Responsabilités

• Contrôle de qualité des données et harmonisation des ensembles de données multi-centres.
• Développement de modèles spatio-temporels et d'outils AI pour le traitement des données IRM.
• Prévision des effets secondaires cognitifs après RT cérébrale.

Connaissances

Analyse d'images

Programmation Python

Communication

Organisation

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 30 Jun 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Jul 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2025-08925 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Radiotherapy (RT) is one of the most important treatments of primary brain tumors, of which 60% are high grade. However, its potential neurotoxicity on the central nervous system is a highly relevant clinical issue. It is also part of the priority research questions in radiation protection, regarding the identification and the prevention of non-cancer side effects related to the use of ionizing radiation (IR) for therapeutic purposes. Currently, the most frequent and threatening mid to long-term neurotoxic complication of brain RT is cognitive dysfunction related to radiation-induced leukoencephalopathy (RIL). Image-based biomarkers for RIL include diffuse supratentorial white-matter lesions (WML), ventricular dilatation, and brain atrophy (BA). The associated cognitive impairments can dramatically reduce the quality of life for long-term survivors. The neurocognitive status is also an important end-point in clinical trials. However, the underlying physiopathology of radiation-induced neurotoxicity in normal tissues and organs is poorly understood as well as its potential links with the initiation and temporal progression of specific cognitive dysfunctions.

The candidate will work in the context of the ANR project Radio-Aide, which will offer a stimulating research environment gathering experts in Image processing, Neurosciences & Neuroimaging, in Advanced Statistical and Machine Learning methods with a strong collaboration with neuroradiologists and neuro-oncologists.

The successful applicant will be involved in several crucial medical imaging processing steps: data quality control and harmonization of multi-centre datasets.

Based on the multimodal data from an ongoing cohort (n=224; 2/3 are already collected), the main objectives are to develop advanced spatio-temporal models and innovative AI tools for brain MRI data processing to i) generate new knowledge about the underlying neurotoxic mechanisms implied in the initiation and temporal progression of specific cognitive dysfunctions following brain RT and the radioresistance of targeted anatomic and functional structures, accounting for the tumor- response status as essential contextual data and to ii) predict individual cognitive side-effects at early stage after brain RT to set up mitigation measures to preserve the quality of life for survivors.

The applicant should have skills in MR imaging and image analysis. Moreover, Python programming skills is a key prerequisite. The candidate should be fluent in English (and preferably in French which will be the working language), have a good communication skills and organizational skills.

Specific Requirements

Candidates are expected to be highly motivated and to work independently with a strong work ethic.

Languages FRENCH Level Basic

Languages ENGLISH Level Good

Additional Information

• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities