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Portal > Offres > Offre UMR6303-ADETHI-002 - Thèse (H/F) – Conception numérique à base d'apprentissage automatique pour l’impression 4D multi-matériaux

PhD (M/F) – Machine-learning based computational design for multi-material 4D printing

This offer is available in the following languages:
- Français-- Anglais

Application Deadline : 22 October 2024 23:59:00 Paris time

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General information

Offer title : PhD (M/F) – Machine-learning based computational design for multi-material 4D printing (H/F)
Reference : UMR6303-ADETHI-002
Number of position : 1
Workplace : SEVENANS
Date of publication : 01 October 2024
Type of Contract : FTC Scientist
Contract Period : 36 months
Expected date of employment : 1 January 2025
Proportion of work : Full time
Remuneration : 2135 € Brut
Desired level of education : Niveau 7 - (Bac+5 et plus)
Experience required : Indifferent
Section(s) CN : Material and structural engineering, solid mechanics, biomechanics, acoustics

Missions

This project aims to push current boundaries in 4D printing, an interdisciplinary field at the intersection of materials science, engineering, and design, where the interplay of materials, geometry, and environmental stimuli can lead to complex and dynamic behaviors. The focus is on approaching 4D printing through inverse design problem in the context of multi-material structures, where the end goal is to develop design tools that facilitate the creation of devices with enhanced functionalities, driven by multi-physics interactions. The research will explore innovative design strategies that enable the prediction and realization of dynamic behaviors in multi-material constructs. Emphasis will be placed on understanding how different materials—both active and passive—interact within a unified structure to yield dynamic, adaptive behaviors. The candidate will engage with design strategies that allow for the prediction of these behaviors, fostering the emergence of novel functionalities.

Activities

The aim is to establish a robust design framework that promotes the exploration of new material combinations and configurations at multiple scales, utilizing optimization and machine learning to identify designs that meet specific performance criteria. A key aspect of the research will be understanding and integrating considerations of material compatibility and interface behavior on the overall response of the functional structures. Biomimetic principles will be considered to inspire the design of multi-material structures, drawing from nature's ability to create complex, multi-functional systems. This approach will inform the development of 4D printed devices with integrated sensing and actuation capabilities. In parallel, the development of fabrication tools capable to assemble these multi-material structures will also be a significant part of the project to translate design concepts into tangible, functional devices. This will involve investigating hybrid additive manufacturing techniques and novel material integration methods, ensuring that the designed structures can be effectively and efficiently realized. Overall, this interdisciplinary endeavor will merge insights from biomimicry, design theory, and advanced manufacturing, pushing the frontiers of what's possible in 4D printing.

Skills

We are looking for motivated students with a background in design, engineering, or a related field, who are eager to explore the convergence of design and technology (fabrication and AI). A keen interest in or experience with additive manufacturing will be beneficial. The successful candidates will join a collaborative, international team, contributing to transformative research at the cutting edge of design and materials science in 4D printing.

Work Context

The thesis work will be conducted within the targeted ARTEMIS project (Accelerated Discovery and Development of Smart Materials and Active Structures through 4D Printing) as part of the PEPR DIADEM program (Integrated Devices for the Acceleration and Deployment of Emerging Materials). The candidate will join an interdisciplinary research group focused on additive manufacturing and 4D printing. They will work in collaboration with other labs involved in the project at the national level, as well as with major universities in the United States and Singapore.

The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.

Constraints and risks

Nothing to report.