Internship : Deep Neural Networks for The Design of Nanophotonic Devices

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat**: Convention de stage

**Niveau de diplôme exigé**: Bac + 5 ou équivalent

**Autre diplôme apprécié**: Master in applied mathematics or scientific computing

**Fonction**: Stagiaire de la recherche

**A propos du centre ou de la direction fonctionnelle**:
The Inria centre at Université Côte d'Azur includes 37 research teams and 8 support services. The centre's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM...), but also with the regiona economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

**Contexte et atouts du poste**:
**[1]** J. Viquerat. _Simulation of electromagnetic waves propagation in nano-optics with a high-order discontinuous Galerkin time-domain method_. Ph.D. thesis, University of Nice-Sophia Antipolis, Dec 2015.

**[3]** E. Agullo, L. Giraud, A. Gobé, M. Kuhn, S. Lanteri and L. Moya. _High order HDG method and domain decomposition solvers for frequency‐domain electromagnetics_. Int. J. Numer. Model. Electr. Netw. Dev. Fields, Vol. 33, No. 2 (2019)

**[4]** M.M.R. Elsawy, S. Lanteri, R. Duvigneau, G. Brière, M.S. Mohamed and P. Genevet. _Global optimization of metasurface designs using statistical learning methods. _Scientific Reports, Vol. 9, No. 17918 (2019)

**[5]** M.M.R. Elsawy, A. Gourdin, M. Binois, R. Duvigneau, D. Felbacq, S. Khadir, P. Genevet and S. Lanteri. _Multiobjective statistical learning optimization of RGB metalens_. ACS Photonics, Vol. 8, No. 8, pp. 2498-2508 (2021)

**[6]** M.M.R. Elsawy, M. Binois, R. Duvigneau, S. Lanteri and P. Genevet. _Optimization of metasurfaces under geometrical uncertainty using statistical learning_. Optics Express, Vol. 29, pp. 29887-29898 (2021)

**[7]** A. Clini de Souza, S. Lanteri, H.E. Hernandez-Figueroa, M. Abbarchi, D. Grosso, B. Kerzabi and M. Elsawy. _Back-propagation optimization and multi-valued artificial neural networks for highly vivid structural color filter metasurfaces_. Scientific Reports, Vol. 13, No. 1, pp. 21352 (2023)

**Mission confiée**:
This internship project is expected to be a first step toward a PhD project that will be concerned with the development of novel DNN-based approaches for the design of complex nanophotonic devices such as metasurfaces. The objective of the internship will be to propose, develop and assess different building block approaches relying on DNNs for designing a nanophotonic device. For this, the following steps will be considered: (1) Review of state-of-the art approaches in the bibliography on AI-based modeling for nanophotonics; (2) Formulation and coding of a few selected approaches; (3) Critical assessment and proposition of research directions for methods beyond the state-of-the art and taking into account the modeling challenges of complex nanophotonic devices; (4) Synthesis end publication of results.

**Compétences**:
Technical skills and level required:

- Master or engineering degree in numerical mathematics or scientific computing or data sciences
- Sound knowledge of numerical analysis for PDEs
- Basic knowledge of physiscs of electromagnetic wave propagation

Software development skills : Python and PyTorch

Relational skills : team worker (verbal communication, active listening, motivation and commitment)

Other valued appreciated : good level of spoken and written english

**Informations générales**:

- **Thème/Domaine**: Schémas et simulations numériques
Calcul Scientifique (BAP E)
- **Ville**: Sophia Antipolis
- **Centre Inria**: Centre Inria d'Université Côte d'Azur
- **Date de prise de fonction souhaitée**: 2025-04-01
- **Durée de contrat**: 6 mois
- **Date limite pour postuler**: 2025-03-07

**Consignes pour postuler**:
**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 d