Neuroscientist

il y a 2 semaines


Paris, France EssilorLuxottica Temps plein

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.

With over 180,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.

PREMYOM* is an ambitious 5-year project of biomedical innovation for the benefit of young people and eye health. The aim is to bring the therapeutic treatment of myopia into the era of personalization. Lead partner EssilorLuxottica is leading the adventure with 5 renowned French partners in the fields of health (Hôpital Fondation Adolphe de Rothschild), research (INRIA, Institut de la Vision, Institut Mines Télécom) and industry (start-up Insimo), at the crossroads of biology and clinical research, optics and optometry, modeling, simulation and AI, embedded devices and microstructured materials. Premyom, whose €41 million budget is co-financed by the France 2030 national plan, is recruiting talent from all these fields to enrich the community of 60 women and men committed together on a daily basis to preventing the myopia epidemic.
- _Prise en charge et Ralentissement de l’Epidémie de MYopie par l’Optique Médicale_

To accelerate the development of new technologies in a strategic sector, EssilorLuxottica is strengthening its expertise in computational neuroscience.

This position aims to investigate the neural mechanisms of the retina through simulation in the field of myopia control. From existing generic models, create personalized models of the processing of visual information by the retina that accounts for individual clinical data.

**AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES**:

- **Contribute to innovation by managing a study or a program**
- Extract relevant data from the clinical tests of myopia control solutions (internal FIN, Octopus, PREMYOM, external orthokerato, contact lenses, etc.) and knowledge of the normal emmetropization process.
- Use optical calculation tools (eye, lens) to obtain the optical transformations of the different associations between myopia control solutions and the characteristics of patients' eyes.
- Make the link between these transformations and information processing by the retina, in collaboration with the Vision Institute.
- Identify key parameters that explain group or inter-individual differences.
- Propose design features with maximum, personalized slowdown efficiency.
- **Communicate internally and externally, oral and written**
- Governance committees, internal reports
- Scientific conferences and publications

You will work with internal teams specialised in vision science, myopia as well as computing experts and you will also have close interactions with the Vision Institute in Paris and other partners of EssilorLuxottica as part of the Premyom project.

**EXPERIENCE, TECHNICAL SKILLS AND BACKGROUND OF THE CANDIDATE**:

- Educational background, ideally PhD, in Computational Modeling, Neurosciences or Physical Optics
- Solid experience in modeling, deep-learning approaches
- Solid experience with Python
- Strong problem solving skills
- Application oriented
- Ability to vulgarize, to adapt to his/her audience/team
- Interpersonal skills, ability to work with multidisciplinary teams
- Nice to have: postdoctoral experience in the same field
- Proficient level in French and English

LI-RM1


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