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Applied Mathematics● OpenPreview

PhD Position in Mathematical Modeling of Vertebrate Morphogenesis

Develop multi-tissue mathematical models of embryogenesis using fluid mechanics and PDE analysis.

Best for:Best for applied mathematics master's graduates with strong skills in PDEs, scientific computing, and an interest in developmental biology.

Institut Camille Jordan · Villeurbanne, France · R1 · First-stage researcher
More professors at Institut Camille Jordan
morphogenesismathematical modelingpartial differential equationsnumerical simulationscientific computing
Deadline
Nov 2, 2026
19 days
Funding
Salaried
€2.3k/mo
Start date
2026-12-01
Fixed-term
Location
Villeurbanne
France

Overview

This doctoral position focuses on developing and analyzing multi-tissue mathematical models of embryogenesis using partial differential equations derived from fluid mechanics. Hosted at the Institut Camille Jordan within the University of Lyon/CNRS ecosystem, the researcher will investigate tissue dynamics, implement numerical methods, and bridge theoretical predictions with experimental imaging and machine learning data. The work forms part of the interdisciplinary PREMMOVE project supported by the PEPR Maths-Vives initiative. The successful candidate will collaborate closely with interdisciplinary teams across institutions in Villeurbanne and Toulouse.

morphogenesismathematical modelingpartial differential equationsnumerical simulationartificial intelligenceimage analysisembryogenesis

What you'll do

  • Develop and analyze mathematical models describing the dynamics and interactions between multiple tissues during embryonic development
  • Investigate analytical questions related to these models, including qualitative behavior and parameter influence
  • Implement numerical methods adapted to the studied systems of partial differential equations
  • Establish methods to link theoretical models with experimental data and estimate model parameters
  • Compare theoretical and numerical results with biological imaging data using image processing and machine learning tools

Requirements

Degree required: Master 2 in Mathematics or Applied Mathematics

Degree offered: PhD

Language: French or English proficiency suitable for academic research and collaboration

Instruction: French and English

Required skills
  • Solid background in mathematical analysis, partial differential equations, and numerical methods
  • Proficiency in scientific computing and programming using Python, Julia, or Matlab
  • Strong interest in mathematical modeling and interdisciplinary approaches at the biology interface
Nice to have
Prior experience in mathematical modelingKnowledge of continuum mechanicsFamiliarity with machine learning techniques
Eligibility
  • Holders of a Master 2 degree or equivalent in mathematics or applied mathematics

Funding & terms

Type
Salaried
Amount
€2.3k/mo
Duration
3 years
Programme
PREMMOVE project, PEPR Maths-Vives
CNRS / PEPR Maths-Vives

How to apply

Deadline: 2026-11-02

Candidates must submit their application through the online portal by logging into the CNRS recruitment platform. Ensure all required academic transcripts and supporting documents are uploaded prior to the deadline.

Documents required
  • CV
  • Cover letter
  • Master transcripts
↗Apply on site
MR
Prof.
Michèle Romanos
Modélisation mathématique et calcul scientifique
Lab
MMCS Team
Institut Camille Jordan
PREMMOVE project, PEPR Maths-VivesFrance
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