Job offer

European Commission; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Le CNRS recrute un chercheur en ingénierie et informatique pour des projets innovants focalisés sur la santé et l'amélioration des services de soins. Ce poste offre l'opportunité de travailler au sein d'une équipe pluridisciplinaire, visant à analyser des données médicales hétérogènes pour formuler des recommandations de traitement précises. Les candidats doivent être titulaires d'un doctorat, et le poste est ouvert à tous, sans restrictions d'âge ou de nationalité.

Qualifications

• Diplôme de doctorat requis.
• Expérience en recherche en santé souhaitée.
• Compétences en modélisation et analyse de données nécessaires.

Responsabilités

• Développer des modèles d'analyse des données médicales variées.
• Contribuer à des programmes de formation en éducation et recherche.
• Participer à des activités de dissémination et d'engagement public.

Connaissances

Analyse de données

Modélisation médicale

Informatique

Formation

Doctorat ou équivalent

Description du poste

Organisation/Company: CNRS

Department: Direction des ressources humaines

Research Field: Engineering, Computer science, Mathematics

Researcher Profile: First Stage Researcher (R1)

Country: France

Application Deadline: 14 Jul 2025 - 23:59 (UTC)

Type of Contract: Other

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 23 Jun 2025

Funding: Not funded by a EU programme

Research Infrastructure Staff Position: No

Offer Description

CNRS is focusing on health and new therapeutic approaches, integrating computer science and learning to improve therapeutic effectiveness and healthcare services. The research involves developing models that analyze heterogeneous medical data, including images, textual data, videos, and reports, to predict outcomes and formulate precise treatment recommendations, emphasizing causality.

The research will be conducted within three units:

• CREATIS: Focuses on health technologies and personalized medicine through imaging and analysis of diverse patient data.
• TIMC: Engages in interdisciplinary research using complex health data, including imaging, to support healthcare needs.
• ICube: Uses multimodal databases to identify biomedical signatures, revealing pathological mechanisms and guiding personalized medicine.

The scientific goal is to exploit large-scale, contextualized imaging data to develop new analysis approaches, model patient care trajectories, and identify biomedical signatures from diverse data sources to understand disease mechanisms and improve therapies.

The recruited researcher will contribute to higher education and research training programs. CNRS emphasizes open science, aiming for accessible research outputs and data sharing, with dissemination through publications, patents, software, and outreach activities like conferences and public engagement. The project aims to foster science-society links, informing public policy and encouraging participatory science initiatives.

Applicants should hold a doctorate or equivalent. There are no restrictions on age or nationality, and accommodations are available for applicants with disabilities.