Development and application of a software platform for nanophotonics

The main objective in this assignment is to participate in the develoment capabilities of the numerical tools developed in the DIOGENeS software suite.

The recruited engineer will also actively participate in the studies conducted by the Atlantis team members for demonstrating the benefits of these numerical tools through the simulation of realistic and challenging use cases pertaining to various applications of nanoscale light-matter interactions. In particular, the team is now actively collaborating with potential end-users of the DIOGENeS software suite who are raising various modeling issues that need to be addressed prior to simulating such realistic uses cases.

Principales activités

• Design and implement computational methods in object-oriented Fortran for partial differential equation models of nanophotonics
• Enhance the DIOGENeS software suite through new features, debugging, and performance optimization
• Collaborate with academic and industrial partners on research projects
• Represent the team at workshops, conferences, and dissemination events
• Develop and maintain technical documentation
• Contribute to scientific publications and technical reports

• PhD or Master's in applied mathematics, scientific computing, computational wave physics, or photonics
• Strong programming expertise in C++ and/or Fortran for scientific computing
• Solid background in numerical analysis and finite element methods
• Familiarity with software engineering practices and version control (e.g., Git)
• Excellent command of English (spoken and written)

Preferred skills:

• Extensive experience in C++ or Fortran, particularly for high-performance scientific computing
• Proficiency in computational electromagnetics and Maxwell solvers
• Working knowledge of parallel computing (MPI, OpenMP, OpenACC, or CUDA)

Desired skills:

• Understanding of optimization algorithms
• Experience with reduced-order modeling techniques
• Exposure to deep learning and neural networks
• Proficiency in Python for scientific workflows
• Prior involvement in collaborative or interdisciplinary research projects

• 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 (sick children, moving home, etc.)
• Possibility of teleworking 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
• Contribution to mutual insurance (subject to conditions)

The Inria centre at Université Côte d'Azur includes 42 research teams and 9 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.