Gelation under flow for biomimetic microcapsules

Context and objectives

As part of a project based on the concept of biomimicry, this PhD aims to investigate the mechanisms of gelation under flow and to exploit them to design biosourced microcapsules with original properties — particularly in terms of mechanical resistance and controlled remodeling.

Using advanced experimental approaches in microfluidics, microscopy, and rheophysics, the PhD candidate will analyze the influence of flow conditions on the gelation kinetics, microstructure, and mechanical properties of the resulting gels.
This research follows a bio-inspired strategy, aiming to replicate the remarkable behavior of plant cell walls, which can both withstand high osmotic pressures and dynamically remodel themselves in response to enzymatic action. The project will focus on the use of natural polymers derived from biomass (such as pectin, cellulose, and hemicellulose).

Activities and Methodology

• Development of experimental setups in (micro-)fluidics
• Implementation of microscopy techniques (including confocal) and microrheology
• Structural and mechanical characterization of the gels
• Data analysis (using Python or equivalent tools)
• Literature review and documentation of experimental protocols
• Dissemination of results through scientific publications and conference presentations
• Participation in interdisciplinary activities within the WallMat (ANR) and PEPR B-BEST projects
• Writing and defense of a PhD dissertation at Université Grenoble Alpes

Candidate Profile

We are looking for a curious, rigorous, and highly motivated candidate, eager to engage in experimental research in an interdisciplinary environment. The project lies at the crossroads of soft matter physics, complex fluid mechanics, and the physico-chemistry of natural polymers.

Expected skills

• Education: Master's degree or engineering diploma in fluid mechanics, soft matter physics, materials science, or related fields
• Strong interest in experimentation and in developing new experimental tools
• Solid skills in data analysis and result interpretation
• Proficiency in scientific English (written and oral)

As part of the PhD training, the candidate will receive both scientific and professional development support, including training in advanced soft matter characterization techniques as well as transferable skills such as project management and scientific communication.