Post-doctoral research visit f - m advanced modeling and ai for personalized myopia treatment h/f

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'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie. Post-Doctoral Research Visit F/M Advanced Modeling and AI for Personalized Myopia Treatment
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

Contexte et atouts du poste

Context

The MIMESIS team at INRIA is a leading research group at the crossroads of scientific computing, machine learning, medical imaging, and control. Our mission is to develop cutting-edge digital tools for personalized medicine, particularly through the creation of digital twins and advanced numerical methods to assist medical interventions. With a strong foundation in biomechanical modeling of soft tissues and real-time computational methods, we work closely with clinicians to translate scientific innovations into practical healthcare solutions - from surgical planning to augmented reality and robotic control.

As part of this commitment, the MIMESIS team is now involved in PREMYOM, a large-scale, five-year biomedical innovation project focused on personalized myopia treatment for children. Coordinated by EssilorLuxottica and funded by the France 2030 national plan, the PREMYOM consortium brings together six prestigious French partners from research, industry, and healthcare : INRIA, Hôpital Fondation Adolphe de Rothschild, Institut de la Vision, Institut Mines-Télécom, and InSimo.

PREMYOM aims to establish a new standard in pediatric eye care by developing predictive models and digital tools that account for the anatomical, optical, and behavioral factors influencing myopia progression. The project's ambitious goal is to transform how we understand, monitor, and treat myopia-turning personalized vision care into a reality.

Mission confiée

Myopia is the most common refractive error observed in children and adults worldwide. This refractive disorder is generally due to an excessive elongation of the eye, which causes the image of a distant object to focus in front of the retina, resulting in a blurred perception in distance vision. The standard clinical management of myopia, in most cases, is solely focused on correcting the refractive error with single-vision glasses or contact lenses. The major challenge, however, is to develop therapeutic strategies to prevent and slow down myopia as early as possible in order to avoid high myopia and serious complications later in life.

Research has shown that focusing light signals in front of the retina helps in slowing down eye elongation, and therefore myopia progression. On this basis, new sophisticated optical glasses have emerged, with the dual objective of correcting myopia (by bringing the distant image onto the retina) and controlling myopia (by simultaneously creating a signal in front of the retina), slowing down the axial elongation of the eye characteristic of myopic progression. However, to date, these glasses are designed generically to treat all young people with progressive myopia, regardless of their individual profile, and show a large inter-individual variability in their effectiveness, which remains largely unexplained.

Your mission will BE to contribute to the development of biomechanical models of the poly-articulated system comprised of the eye, the head and the neck. These models will BE governed by physiologically plausible laws of motion, specifically for oculomotor convergence and eye-head coordination, which will BE needed for the simulation of a variety of visual and behavioral tasks having an impact on myopia development on children (e.g. reading from a smartphone). These simulations will provide insights into how head and eye movements may influence optical performance and the progression of myopia, as well as optical and ergonomic effects of different lens designs for optimizingthe fit, comfort, and efficacy of therapeutic eyewear.

Because of the high redundancy, geometrical complexity and interdependency of the eye-head-neck system, part of your work will focus on finding a trade-off among model complexity, model personalization and simulation predictiveness. This will probably require methodological developments relying on reduced-order modeling (probably via Artificial Intelligence) for very fast simulations, necessary for solving inverse problems that may arise for during personalization and inverse-kinematics contexts.

This work will support the generation of individualized eye models that could guide the design of personalized myopia control lenses, based on a combination of anatomical, biomechanical, and behavioral inputs. These models will BE integrated into an e-health decision-support tool, facilitating real-world application of research outcomes in clinical and commercial settings.

Compétences
We are looking for a motivated and skilled candidate with the following qualifications :
Required :
- M.Sc. or PhD in biomedical engineering, applied mathematics, computer science, or a related field.
- Strong background inbiomechanical simulation of multi-body systems.
- Strong background with numerical analysis and optimization techniques.
- Proficiency in scientific programming (e.g., Python, C++).
- Communication skills for team working.

Desirable :
- Knowledgeof the eye-head-neck systemand itsbiomechanics.
- Knowledge of machine learning techniques.
- Experience in collaborative research or interdisciplinary healthcare projects.

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

Rémunération

2788€ gross/month