PhD Position F/M Layer-Based Garment Modeling for Textile Form Weaving
Type de contrat : CDD
Niveau de diplôme exigé : Bac + 5 ou équivalent
Fonction : Doctorant
A propos du centre ou de la direction fonctionnelle
The Centre Inria de l’Université de Grenoble groups together almost 450 people in 26 research teams and 9 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.
Contexte et atouts du poste
Mass production of garments is responsible for significant waste in the fashion industry. During the manufacturing process, most garments are produced by cutting and sewing fabric panels of diverse shapes, which results in fabric cutting waste. Once fabricated in standardized sizes, many garments do not correspond well to consumers’ fit or taste, and are left unsold or are thrown away after little use. Moreover, the manual labor of cutting and sewing is often done in low-wage remote countries, which further increases the environmental impact of garment production.
Textile Form Weaving is an innovative manufacturing technique that holds the potential of offering a viable solution for zero-waste, local, on-demand fabrication of custom garments [1]. This technology relies on standard looms to produce garments as a connected stack of textile layers (see figure in the attached document), alleviating the need for manual cutting and sewing.
However, existing software for garment design is centered on the traditional process of sewing fabric panels [2], offering little support to the design of layered textile forms. The goal of this Ph.D. is to develop the algorithmic foundations for garment design and simulation centered around textile layers for Textile Form Weaving.
Work environment and requirement
The research will be conducted as a collaboration between the CRAFT team at Inria Université Grenoble Alpes, specialized in digital design and manufacturing, and the GraphDeco team at Inria Université Côte d’Azur, specialized in interactive shape modeling.
The Ph.D. can take place in either team, with regular visits to the other team.
Mission confiée
This research will be conducted in collaboration with experts in garment weaving from TU Delft Industrial Design Engineering [1,3]. Together, we will first formalize the principles of layered-based Textile Form Weaving and deduce typical layer arrangements that can be achieved with this technology. Next, we will develop data structures and algorithms for an interactive garment modeling tool that would allow users to specify the local layering structure of a garment and simulate the corresponding 3D shape obtained when deploying this structure. The simulation should reproduce deformations of the fabric that occur once it is released from the weaving loom, including deformation induced by specific types of yarn [3], which might require advanced yarn-level cloth simulation [4,5].
In the long term, we aim at developing an optimization framework that would allow users to directly edit the simulated 3D garment, and would automatically deduce the corresponding layered weaving pattern, similar in spirit to bi-directional editing tools that have been proposed for cut-and-sew garment modeling [6,7].
References
[1] Milou Voorwinden, Alice Buso, Elvin Karana, and Holly McQuillan.
A Design Space for Animated Textile-forms through Shuttle Weaving: A Case of 3D Woven Trousers. ACM Designing Interactive Systems Conference. 2025. https://dl.acm.org/doi/10.1145/3715336.3735741
[2] CLO3D Fashion Design Software, https://www.clo3d.com/
[3] Alice Buso, Holly McQuillan, Kaspar Jansen, Elvin Karana.
The unfolding of textileness in animated textiles: An exploration of woven textile-forms. DRS 2022.
https://dl.designresearchsociety.org/drs-conference- papers/drs2022/researchpapers/208/
[4] Jonathan Leaf, Rundong Wu, Eston Schweickart, Doug L. James, and Steve Marschner. Interactive Design of Periodic Yarn-Level Cloth Patterns. SIGGRAPH Asia 2018. https://graphics.stanford.edu/projects/yarnsim/
[5] Rundong Wu, Joy Xiaoji Zhang, Jonathan Leaf, Xinru Hua, Ante Qu, Claire Harvey, Emily Holtzman, Joy Ko, Brooks Hagan, Doug James, François Guimbretière, Steve Marschner. Weavecraft: An Interactive Design and Simulation Tool for 3D Weaving. SIGGRAPH Asia 2020. https://www.cs.cornell.edu/projects/weavecraft/
Principales activités
- Study relevant bibliography
- Develop original research ideas
- Implement programs
- Write scientific papers
Compétences
Candidates should have studied computer science. Knowledge in computer graphics, and in particular geometry processing, physical simulation and numerical optimization is a plus.
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage under conditions.
Rémunération
2300 euros gross salary /month
Informations générales
- Thème/Domaine :
Interaction et visualisation
Systèmes d'information (BAP E) - Ville : Montbonnot
- Centre Inria : Centre Inria de l'Université Grenoble Alpes
- Date de prise de fonction souhaitée : 2026-10-01
- Durée de contrat : 3 ans
- Date limite pour postuler : 2026-06-04
Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.
Consignes pour postuler
Applications must be submitted online via the Inria website. Processing of applications submitted via other channels is not guaranteed.
Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
Contacts
- Équipe Inria : CRAFT
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Directeur de thèse :
Skouras Melina / melina.skouras@inria.fr
A propos d'Inria
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.