Post-doctoral Research Visit F/m Computational

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

**Type de contrat **:CDD

**Contrat renouvelable **:Oui

**Niveau de diplôme exigé **:Thèse ou équivalent

**Fonction **:Post-Doctorant

**Niveau d'expérience souhaité **:De 3 à 5 ans

**A propos du centre ou de la direction fonctionnelle**:
The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center’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 regional 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**:

- and frequency-domain Maxwell equations possibly coupled to differential equations modeling the behaviour of propagation media at optical frequencies. DIOGENeS also includes a component dedicated to the optimization of geometrical characteristics of nanostructures driven by some performance objective in the contex of inverse design strategies of nanophotonic setups. DIOGENeS is a unique numerical framework leveraging the capabilities of DG techniques for the simulation of multiscale problems relevant to nanophotonics and nanoplasmonics.

One important line of research of the team during the last years has been dedicated to improve the capabilities of these numerical tools to produce novel inverse design methodologies for optical metasurfcaes. In the last decade metasurfaces, i.e. 2D arrays of optical nanoantennas with subwavelength size and separation [1] have revolutionized the field of linear optics with the promise to replace bulky and difficult-to-align optical components with ultrathin and flat devices like metagratings, metalenses and metaholograms, which can also implement new functionalities in terms of aberrations correction and arbitrary wavefront shaping. In the recent years, by combining a high-fidelity DG-based fullwave solver in the time-domain [2] with a statistical learning-based global optimization method [3], we have introduced innovative inverse design methodologies for mono-objective optimization of metadeflectors [4], multi-objective optimization of RGB metalenses [5] and robust optimization of metadeflectors [6].

[1] W. Chen, A.Y. Zhu and F. Capasso. _Flat optics with dispersion-engineered metasurfaces._ Nature Review Material, vol. 5, 604 (2020)

[3] D. Jones. _Efficient global optimization of expensive black-box functions_. Journal of Global Optimization, Vol. 13, No. 4, pp. 455-492 (1998)

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

[6] M. Elsawy, M. Binois, R. Duvigneau, S. Lanteri, and P. Genevet, _Optimization of metasurfaces under geometrical uncertainty using statistical learning_, Optics Express 29(19), 29887-29898 (2021)

**Mission confiée**:
Our achievements in [4]-[5]-[6] are concerned with linear and passive metasurfaces. A more recent work has been dedicated to active, i.e., tunable, metasurfaces [7]. A first goal of this postodoctoral project will be to delve into novel modeling techniques for the design of next-generation metasurfaces. We will consider two modern topics in metasurface design:

- **Active and dynamically tunable** **metasurfaces**. The objective will be to explore novel active metasurface designs enabled by advanced materials such as liquid crystals and phase-change materials. Special attention will be given to the dynamic modeling of such systems, including thermal effects, liquid crystal dynamical behavior, and their integration into tunable and reconfigurable devices.
- **Nonlinear metasurfaces**. The goal will be to exploit the latest breakthroughs in the modeling and design of nonlinear metasurfaces, focusing on second-harmonic generation, wave mixing, and other nonlinear effects. Different modeling approaches ranging from the state-of-the art linear approximation to advanced nonlinear modelling techniques to achieve superior accuracy and performance.

[7] M.M.R. Elsawy, C. Kyrou, H. Mikheeva, R. Colom, J.Y. Duboz, K.Z. Kamali, S. Lanteri, D. Neshev and P. Genev