PhD Position F/M Reduced-order Modeling and Global Optimization for Robust Design of Gap Plasmon Resonators

il y a 1 semaine


Technopole de Sophia Antipolis, France INRIA Temps plein
Job Description

Project Overview

This PhD project is part of a collaborative multidisciplinary project between the Atlantis project-team from INRIA Research Center at Université Côte d'Azur and Institut Pascal at Université Clermont Auvergne, in the context of the ANR SWAG-P project.

Research Objectives

The PhD project aims to develop a comprehensive numerical study of the sensitivity of the optical response of a given Gap Plasmon Resonator (GPR) to variations of optical indices and geometrical parameters. To achieve this goal, Uncertainty Quantification (UQ) from the perspective of robust optimization techniques will be used, building on and extending the pre-existing Bayesian optimization tools implemented in the DIOGENeS software tool.

Methodology

The PhD candidate will investigate the recent works on reduced order modeling based on Artificial Neural Networks (ANN) and extend this approach in the present PhD context. As a result, the candidate will propose and assess a new methodology allowing for the development of an efficient characterizing tool for GPR-resonators.

Expected Outcomes

The PhD project is expected to contribute to the development of a robust and efficient numerical tool for the design and optimization of GPR-based biosensors. The candidate will also gain expertise in numerical analysis for PDEs, machine learning, and deep learning with artificial neural networks.

Requirements

The candidate should have a strong background in numerical analysis for PDEs, machine learning, and deep learning with artificial neural networks. The candidate should also have good programming skills in Python and Fortran 2003, as well as experience with parallel programming using MPI and OpenMP.

Working Conditions

The PhD candidate will be part of the Atlantis project-team at INRIA Research Center and will work closely with the members of the consortium of the ANR SWAG-P project. The candidate will have access to professional equipment and will participate in the activities of the project.

Benefits

  • 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
  • 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

Salary

The gross salary per month is 2100€ brut per month (year 1 & 2) and 2190€ brut per month (year 3).



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