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    • Pessac

Ansök senast: 2024-12-24

Post-doctoral researcher on Predictive Artificial Intelligence of Stroke

Publicerad 2024-10-25

Employeur

You want to contribute to the advances of cardiovascular medicine?

Join the Heart Rhythm Diseases Institute (), University of Bordeaux! Liryc is organized into clinical research teams that work closely with fundamental science teams.

As part of the RHU TALENT project, funded by the National Research Agency, we are recruiting a Post-Doctoral researcher in Artificial Intelligence applied to stroke prediction .

The TALENT project is a winner of Wave 6 of the University Hospital Health Research (RHU). Its objective is to propose new tools for the prediction of stroke risk (CVA) in both primary and secondary prevention.

Votre mission

The final objective of the project is to build and train AI models to make these predictions, based on multimodal data from multiple sources, mainly ECG and CT. The model will allow for a personalized risk assessment, in an opportunistic screening strategy (reviews conducted for other reasons).

Your role will be to contribute to the methodological developments necessary for this objective and to implement the model training.

# Research and development

· You develop innovative AI algorithms and methodologies for medical data analysis, including supervised and unsupervised learning, neural networks and other deep learning methods

· You work on complex multimodal data (imaging, ECG, clinical data, etc.) to improve the prediction of heart stroke

# Deployment of search environments

· You are involved in the deployment of research environments with partner sites located in Denmark, to allow for local data analysis without requiring their transfer

· You work with local teams to install, configure and optimize data processing tools

· You provide technical support and training for local researchers

# Scientific dissemination

· You publish articles in leading international scientific journals

· You present the results at international conferences and workshops

· You contribute to the drafting of research reports for ANR project partners

The + of this position:

- Opportunity to collaborate with international experts in the field of digital health and data science, renowned medical researchers

- Stimulating work environment with access to high-tech research infrastructure. Diverse and highly international profiles

- Access to data provided by project care actors

Vos atouts / Vos talents

Holder of a PhD in the field of artificial intelligence, data science, bio-informatics, or related field, you have acquired strong skills in machine learning, neural networks and big data analysis methods.

· You are experienced in developing deep learning algorithms

· You are familiar with programming tools (Python, TensorFlow, PyTorch, etc.)

· You are familiar with distributed computing environments (Docker, Kubernetes, etc.) and large database management

· You have a strong relational sense

· You have a good command of English (level B2) in a multicultural working environment and with regular travel

Do you recognize yourself? Apply now!

More information:

By joining this project, you will be integrated into the IHU Signal Processing team, at the forefront of research in this field. The RHU Talent project is organized around a consortium of academics (IHU Liryc, CHU de Bordeaux, CHU de Dijon, INRIA, Université de Bordeaux) and industrialists (Cardiologs, INCEPTO, InHEART, AMPS-LLC).

Based in Pessac, Gironde, FRANCE – access by tramway line B (stop « France Alouette ») buses, bike.

The laboratory is near the city-centre of Bordeaux and about 60 Km of the Atlantic coast.

NB: the position requires a high availability to travel regularly within Denmark. Travel expenses will be covered.


24-month fixed-term contract

Salary gross: from 2750€ to 3000€ according the salary grid

Job Benefits:

50 days of vacation from the first year of collaboration

Remote working possible according to needs and organization of the service

Refill of 75% of the subscription to the public transport

Participation in the private healthcare up to 15€ / month

Leisure, sport and culture for all staff

Disabled-friendly establishment

Possibility of staff parking

Sustainable mobility package for commuting – work

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