Organisation/Company: Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes
Research Field: Engineering » Electronic engineering
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: France
Application Deadline: 14 Jan 2025 - 22:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Aging and many degenerative pathologies are known to affect bone homeostasis and the material and mechanical properties of the mineralized extracellular matrix (ECM). Understanding bone material and mechanical properties is crucial to explain, treat and prevent the development of fractures in bones, especially in elderly humans and osteoporotic bone.
Bone homeostasis is maintained by a continuous repair process orchestrated by osteocytes that detect tissue damage to be resorbed by osteoclasts. Osteocytes also recruit mesenchymal stem cells (MSCs) that differentiate into osteoblasts secreting collagen and then osteocytes that mineralize collagen fibers. With age and many degenerative pathologies, the capabilities and numbers of MSCs decrease as well as the tissue they secrete.
We propose to apply Artificial Intelligence methods to analyze O-PTIR spectra to bone and extract chemical composition data for human donors of different age groups and from different bone regions submitted to different mechanical loads. Large spectral data sets were generated per donor and sub-families of spectra can be identified by statistical analysis.
In Phase 1, we will couple super-resolution infrared micro-spectroscopy O-PTIR to AI approaches to identify evolutionary trends of biochemical biomarkers in human bones of different age groups.
In Phase 2, we will model the mechanics of the bone matrix at the scale of the mineralized collagen fiber in a finite element morphological model (FEM) based on 3D image segmentation. The FEM model will incorporate the material properties derived from the chemical composition measured in Phase 1.
In Phase 3, we will generate Monte-Carlo microstructures of the bone matrix for human donors from different age groups. The FEM model will generate stress fields that can be projected on unit map sphere in 3D for each material phase in the bone matrix that will be patient specific.
Minimum Requirements
EN: Computational mechanics, Applied mathematics, Mechanical engineering curriculum or related fields. The student should have taken at least a course in Finite Element Method and Numerical Methods and entry-level courses in physics and materials. Large computations will be developed, and notions of elementary programming are preferred.
Additional Information
Work Location(s)
Number of offers available: 1
Company/Institute: Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes
Country: France
City: Gif-sur-Yvette
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