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Biomaterials and Regenerative Medicine● OpenPreview

PhD in Bio-Based mRNA-Enriched Materials for Bone Regeneration Using AI Optimization

Develop AI-driven bioresorbable scaffolds with mRNA for enhanced bone regeneration through interdisciplinary research.

Best for:Best for biomedical engineers, materials scientists, or biotechnologists with expertise in biomaterials, genetic engineering, and AI-driven computational modeling.

UNIVERSITY OF TOULOUSE · Toulouse, France · R1 · First-stage researcher
More professors at UNIVERSITY OF TOULOUSE
Bio-based biomaterialsmRNA delivery systemsBone regenerationAI-driven scaffold optimizationPolymeric scaffoldsTherapeutic protein production
Deadline
Nov 30, 2026
46 days
Funding
Salaried
CEA salary (tuition fee: 391 € per year)
Start date
2026-10-01
Full-time
Location
Toulouse
France

Overview

This PhD position at the University of Toulouse focuses on creating biodegradable scaffolds functionalized with mRNA to promote bone regeneration. The project integrates biomaterials science, genetic engineering, and artificial intelligence to optimize scaffold architecture and mRNA delivery for localized therapeutic protein production. The candidate will work on designing polymer networks, analyzing biological performance, and leveraging AI for computational optimization. The research aims to transform injured cells into localized protein factories, reducing experimental iterations through data-driven design. Collaboration with interdisciplinary teams and contributions to scientific publications are expected.

PhD in biomaterialsmRNA-based therapybone regenerationAI in biomedicinepolymeric scaffoldsregenerative medicinebiodegradable materialsVEGF and BMP proteins

What you'll do

  • Design and synthesize biodegradable polymer scaffolds functionalized with mRNA encoding therapeutic proteins (e.g., VEGF, BMP).
  • Investigate the influence of 3D scaffold architecture on osteogenic differentiation and biological performance.
  • Develop and apply AI-based computational tools to optimize scaffold composition, architecture, and mRNA loading.
  • Conduct in vitro and in vivo experiments to evaluate scaffold efficacy in promoting localized protein production.
  • Analyze experimental data using computational methods to guide iterative scaffold design improvements.
  • Contribute to scientific publications and present research findings at national and international conferences.
  • Collaborate with interdisciplinary teams to integrate biomaterials, genetic engineering, and AI approaches.

Requirements

Degree required: Master's degree (or equivalent) in Biomedical Engineering, Materials Science, Biotechnology, or a related field.

Degree offered: PhD

Language: English proficiency (no specific test score required)

Instruction: French and English

Required skills
  • Experience in biomaterials synthesis and characterization.
  • Familiarity with genetic engineering techniques, particularly mRNA delivery systems.
  • Knowledge of computational tools for biomaterials design and AI-driven optimization.
  • Proficiency in laboratory techniques for cell culture and biological assays.
  • Experience with polymer chemistry or materials science.
Nice to have
Prior experience with AI/ML tools for scientific data analysis.Background in regenerative medicine or tissue engineering.Familiarity with advanced imaging techniques for scaffold analysis.
Eligibility
  • Open to international applicants.
  • No specific nationality restrictions mentioned.

Funding & terms

Type
Salaried
Amount
CEA salary (tuition fee: 391 € per year)
Duration
3 years (36 months)
Programme
CEA (Commissariat à l'Énergie Atomique et aux Énergies Alternatives)
CEA (Commissariat à l'Énergie Atomique et aux Énergies Alternatives)

How to apply

Deadline: 2026-11-30

Applicants must submit their CV, a cover letter detailing their research interests and motivation, and academic transcripts. A research proposal outlining the candidate’s approach to the project is also required. Applications should be sent via email to the contact provided.

Documents required
  • CV
  • Cover letter
  • Academic transcripts (BSc and MSc)
  • Research proposal (1-2 pages)
  • Letter of recommendation (if applicable)
✉Apply by email

Contact

Laura Sanchez Gonzalez· PhD Supervisor

laura.sanchezgonzalez@cea.fr

05.36.25.96.32

LS
Prof.
Laura Sanchez Gonzalez
DOCC - Département Occitanie (CTREG)
Lab
CTREG (Centre de Transfert de Recherche en Génie des Procédés)
UNIVERSITY OF TOULOUSE
France
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