Offre en lien avec l’Action/le Réseau : DSChem/– — –

Laboratoire/Entreprise : Inria Lyon / AIstroSight
Durée : 36 mois
Contact : thomas.guyet@inria.fr
Date limite de publication : 2023-07-07

Contexte :
A funded PhD position is available in the AIstroSight team, INRIA, Lyon, France (https://team.inria.fr/aistrosight/), starting in November 2023. Our interdisciplinary team aims at developing innovative numerical methods for the search of new drug candidates to treat brain diseases, targeting neurons as well as glial cells. We value diversity, trust, growth, equity and creativity.

Sujet :
The goal of this PhD project is to develop a data-driven partial differential equation (PDE) discovery method for complex dynamical systems such as brain cells. The algorithm will be evaluated on its ability to robustly and accurately learn cell function at the macroscopic scale from data simulated at the nanoscopic level.

Profil du candidat :
We are looking for a student with a Master degree who has experience in at least one of the following areas: data science/machine learning/mathematical modeling as well as an interest in cell biology/neuroscience. Proficiency in written and oral English is required. No knowledge of French is needed. Most importantly, we are looking for future colleagues who are eager to learn and grow, and who are driven by scientific curiosity.

Formation et compétences requises :
We are looking for a student with a Master degree who has experience in at least one of the following areas: data science/machine learning/mathematical modeling as well as an interest in cell biology/neuroscience. Proficiency in written and oral English is required. No knowledge of French is needed. Most importantly, we are looking for future colleagues who are eager to learn and grow, and who are driven by scientific curiosity.

Adresse d’emploi :
Inria Lyon, Campus de la Doua et/ou HCL

Document attaché : 202306041943_PDE_Discovery_AIstroSight_2023.pdf