PhD Position in Single-Cell Data: A PhD position is available at the Centre Inria de l’Université Grenoble Alpes for research in stochastic modeling and single-cell data analysis. The project focuses on understanding cellular processes driving bacterial growth variability using mathematical frameworks and cutting-edge experimental technologies.
PhD Position in Stochastic Modelling of Dynamical Resource Allocation and Analysis of Single-Cell Data
Designation
PhD Position (Fixed-term contract)
Research Area
- Stochastic modeling
- Dynamical systems
- Single-cell data analysis
- Microbiology and biophysics
Location
Centre Inria de l’Université Grenoble Alpes
Montbonnot, France
Eligibility / Qualification
- Graduate degree or equivalent in a relevant field (applied mathematics, physics, computer science, or biology)
- Strong background in dynamical systems, stochastic processes, and modeling
- Familiarity with scientific programming
- Interest in biological applications and data processing
Job Description
The successful candidate will be engaged in:
- Understanding cellular growth and gene expression variability in bacterial populations.
- Developing a new mathematical framework called Branching Resource allocation Processes (BRP).
- Utilizing mathematical tools such as Continuous-Time Markov chains and Mixed-Effects modeling.
- Conducting numerical simulations and analyzing existing single-cell datasets, particularly focusing on E. coli.
Main Activities:
- Explore models of single-cell resource allocation and cellular replication
- Analyze new BRP models and their dynamics
- Develop simulation tools for applied research
- Relate growth phenotypes on the population level to resource allocation strategies at the single-cell level
How to Apply
Candidates must submit their applications online through the Inria website. Ensure you provide a valid email address to save your application. More details can typically be found on the official Inria recruitment page.
Last Date for Apply
September 30, 2025
For further details or specific queries, interested candidates can contact PhD supervisors Aline Marguet at aline.marguet@inria.fr or visit the Inria website.
