PhD Position F/M Modelling of curly hair

il y a 4 jours


MontbonnotSaintMartin, Auvergne-Rhône-Alpes, France Inria Temps plein

Le descriptif de l'offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : De 3 à 5 ans

A propos du centre ou de la direction fonctionnelle

The Centre Inria de l'Université de Grenoble groups together almost 600 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

Over the last 30 years the graphics community has actively worked on the simulation of dense fibrous assemblies such as human hair or animal fur. Whether it is for the realistic animation of characters by the entertainment industry, for its applications in cosmetology, or for the design of mechanical structures, simulating accurately such kinds of systems remains challenging and computationally costly. Furthermore, a rich underlying phenomenology arises from the interaction between fibers, driven by the interplay between geometry, frictional contact, and elasticity. Due to the large number of degrees of freedom and the strong coupling between the length-scales at which fibers interact, innovative approaches are crucial.

Recent developments for the simulation of frictional fibers have made possible the efficient simulation of tens of thousands interacting fibers producing visually appealing images. However, these simulators remain limited to fibers with small natural curvature, making them unable to retrieve the rich phenomenology observed for highly curly fibers. Additionally, in many cases, the underlying model for the simulation is not systematically tested for its validity.

To bring a breakthrough on the realistic simulation of frictional fibers, we believe that a combined effort between computer simulation, physics and mechanics is required. While computer simulation has developed a large amount of knowledge to efficiently solve large-scale problems numerically, physics and mechanics have a long-standing culture to model and analyse complex systems through controlled experiments and theoretical developments. Progressively, these communities are joining their forces to, on the one end, produce more realistic physics-based simulators, and on the other end, find model configurations to study the physical validity of simulations and advance the understanding of physical systems with enhanced complexity.

Mission confiée

Objectives

While studies exist regarding the mechanics and shape characterisation of a single curly hair, extensions to the understanding and modelling of a full collection of curly filaments in 3D remains scarce.

The objective for this PhD position is to combine our current numerical and experimental works on fiber assemblies to better understand and model, at the macro-scale, some remarkable collective phenomena appearing in curly hair due to the mixed effects of elasticity/geometry and frictional contact at the fiber scale.

Principales activités

This work will take advantage of the numerical Kirchhoff models for rods, contact detection, and frictional contact solvers developed by the Elan team, and additionally, we expect for this study to have an important experimental component to conceive novel setups and collect data to compare with simulations.

Compétences

The candidate is expected to hold an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or informatics. The candidate should have some experience in either:

  • In a computer simulation related topic (Computer Sciences, Computer Graphics, Engineering, or Applied Mathematics) with strong expertise in numerical simulation, mathematical modelling, and software development; taste and skills in physical modelling and experiments will be appreciated.

  • In a mechanics related topic (Mechanics, Physics, or Engineering) with expertise either in experimental or theoretical research; taste and skills in programming will be appreciated.

All candidates should have a good understanding in numerical analysis (modelling, discretisation of ODEs and PDES for mechanical systems, finite elements, optimisation) and algorithms. We expect for the candidates to have a minimum of understanding in C/C++ and Python/Matlab. In addition, we are looking for candidates interested in application of numerics for physics and mechanics (e.g. Computer Graphics, Virtual Prototyping, or more fundamental problems in elasticity/geometry/contact/friction), capable to work alongside in real physical experiments, and curious to discover the links between Physics and Computer Graphics. Finally, candidates are expected to have good written and oral communication skills (at least in English, French is a plus) and strong motivation to work with other researchers and students, in a multidisciplinary environment.

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 (after 6 months of employment) 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 € gross salary / month

Informations générales
  • Thème/Domaine : Schémas et simulations numériques

Calcul Scientifique (BAP E)
- Ville : Montbonnot
- Centre Inria : Centre Inria de l'Université Grenoble Alpes
- Date de prise de fonction souhaitée :
- Durée de contrat : 3 ans
- Date limite pour postuler :

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° 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 : ELAN
  • Directeur de thèse :

Romero Gramegna Victor /

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.



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