En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR5235-OVIRAD-001 - Postdoc en modélisation mathématique de la résistance au traitement du mélanome H/F

Postdoc on mathematical modeling of melanoma resistance H/F

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 31 mai 2021

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR5235-OVIRAD-001
Date of publication : Monday, May 10, 2021
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 July 2021
Proportion of work : Full time
Remuneration : 26 - 31 keuros net pa, according to experience
Desired level of education : PhD
Experience required : Indifferent


The postdoctoral fellow will take part in the MALMO project which is supported by the ITMO Cancer.
The aims of this project are: 1) to develop mathematical models describing cellular heterogeneity of melanoma tumours and its evolution under treatment;
2) to use AI approaches for learning models initial conditions and environmental constrains such as blood vessels distribution and nutrient/oxygen gradients;
3) to validate the models by using multiplexed tissue imaging data and digital pathology images produced in this project.
The postdoctoral fellow will collaborate tightly with a second postdoc hired by the Paris Brain Institute, with his/her supervisor (O. Radulescu)
and the other members of our consortium, including experimental biologists and clinicians (team of Laurent Le Cam at Montpellier Cancer Center – IRCM).


The contributions expected from this positions include: development of high dimensional PDE models and of numerical solutions well adapted to high dimensions,
development and implementation of model order reduction methods, practical and foundational results in hybrid AI for oncology.


Candidates should have a PhD in Applied Mathematics, Biomathematics, Computer Science, or any other field related to the project.
We require expertise in partial differential equations (mathematical modeling and numerical methods) and machine learning.
Previous acquaintance with mathematical biology and oncology will be appreciated.

Work Context

LPHI is an innovative and high standard laboratory for basic research in biology. It host the Computational Systems Biology Team (CSBT), one of few of this kind in France, developing projects at the interface between Biology, Physics and Mathematics. Team leader of CSBT, Ovidiu Radulescu is with University of Montpellier. Established in 1289, the University of Montpellier (UM) is the 6th largest university in France, with about 50,000 students including 7000 come from abroad to study in Montpellier. One of the most innovative higher education institutions in the world, UM ranks very high in many international rankings : first in the world in the 2018 Shanghai ranking for Ecology, first most innovative French university in 2018 Reuter's ranking, 5th in France in 2018 Leiden's ranking for the quality of its scientific publications, 3rd French university in the 2019 “University Impact ranking” of Times Higher Education. These increasingly outstanding results reflect the dynamism triggered by the Montpellier University of Excellence I-SITE project since the prestigious certification was obtained in March 2017.
Montpellier is a vibrant and sunny Southern France city. It benefits of the Mediterranean coast and proximity of the Cevennes mountain range, has a beautiful old city centre and great infrastructure.

Constraints and risks


Additional Information

Please add the names of 2-3 referees in your CV.

Our hiring process strives for equal opportunities for all candidates.

We talk about it on Twitter!