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Ph.D. openings

    • PhD: Global polarizability approach for designing multi-functional metalens fiber endoscopes on micro- to macroscales

      Location: Laboratoire Hubert Curien, Saint-Etienne, France – in collaboration with the Institute for Research in Surface Engineering (IREIS, HEF group) within the Joint Laboratory COMETA.

      This project will tackle the problem of modeling and designing of large-scale metasurfaces with strongly coupled non-periodic meta-atoms. The insights and tools developed within this project will help to predict the optical response, to optimize and to propose fabrication friendly design of a multi-mode metalens from the microscale to millimetric dimensions for emerging applications in telecommunications, biomedical imaging, and clinical diagnostics.

      The project is embedded within the broader scope of the Laboratoire commun COMETA, which aims to create new designs for optical components with optimal performance and novel functionality using the properties of nanostructures and by applying the concept of metasurfaces. COMETA combines the resources and the expertise of the Institute for Research in Surface Engineering (IREIS, HEF group) and the Hubert Curien Laboratory (LabHC), affiliated with Jean Monnet University, CNRS and Institut d’Optique Graduate School.

      https://www.rhone-auvergne.cnrs.fr/fr/cnrsinfo/laboratoire-commun-cometa-revolutionner-loptique-avec-les-metasurfaces

      Funding: Institute for Research in Surface Engineering (IREIS, HEF group)

      Prerequisites: 

      • Master's degree in (MSc or equivalent) in Physics, Optics, Photonics, Materials Science, or related fields.
      • Strong knowledge in electromagnetics & optics
        Experience with numerical modeling (Python, MATLAB, or C++) and computational electromagnetics codes (Finite-Difference Time-Domain (FDTD), or Discrete Dipole Approximation (DDA), or Rigorous Coupled Wave Analysis (RCWA)).
      • Proficiency in written and spoken English; proficiency in French is a plus.
      • Familiarity with Green’s functions, inverse design strategies, machine learning and parallel programming (OpenMP, MPI, or GPU) is a plus.
      • Motivated to work in a multidisciplinary environment and to collaborate with industrial partners.
      • The candidate is expected to demonstrate initiative and autonomy in order to successfully complete his/her thesis.

      Download the detailed offer here

      The interested candidates should provide (1) an updated CV with the detailed education background, work experience and professional skills, (2) an optional short motivation letter, (3) a transcript with the detailed courses taken and grades received for a Bachelor’s/Master’s degrees, to both:

      • Dr. Anton Rudenko (LabHC, CNRS) anton.rudenko @ univ-st-etienne.fr
      • Prof. Jean-Philippe Banon (LabHC, UJM) jean.philippe.banon @ univ-st-etienne.fr

      Published on February 26, 2026