Informations générales
Intitulé de l'offre : Post-Doc M/W Blood circulation and artificial intelligence (H/F)
Référence : UMR5588-CHAMIS-009
Nombre de Postes : 1
Lieu de travail : ST MARTIN D HERES
Date de publication : mercredi 13 septembre 2023
Type de contrat : CDD Scientifique
Durée du contrat : 6 mois
Date d'embauche prévue : 1 novembre 2023
Quotité de travail : Temps complet
Rémunération : 2905.76 and 4081.77 euros gross depending on experience
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : 1 à 4 années
Section(s) CN : Condensed matter: organisations and dynamics
Missions
The aim will be to create and exploit artificial intelligence code to predict blood flow patterns in different real vascular networks, first in two dimensions, then in three. An application to real (medical) images will be undertaken.
Activités
- Develop a classical and possibly quantum artificial intelligence (AI) code. This code will be assisted by a lattice-boltzmann type code (existing within liphy) which will be used to train the AI code.
- Linking the simulation with laboratory experiments in order to classify possible blood embolisms.
-Write regular reports and articles in international journals.
Compétences
-Solid grounding in physics, mechanics and fluid mechanics
-Basic knowledge of blood circulation
-Solid grounding in numerical simulation
-A grounding in the theory of complex systems
Contexte de travail
The work will be carried out at LIPHY, a CNRS joint research unit (UMR5588) located on the Saint Martin d'Hères university campus. Liphy develops research at the interfaces between physics, biology and medical sciences. The research will be carried out in interaction with experiments on blood circulation developed at liphy and in interaction with the Grenoble University Hospital (with which a project on the blood circulation of diabetic patients is underway). The candidate will also interact with other members of liphy who are working on the direct simulation of blood circulation.
Contraintes et risques
None