Reporting to Elie, Algo & Modeling Engineer, you will support the Algorithm & Modeling team in the implementation and optimization of digital twins for antennas to enable their control.
Here are the responsibilities awaiting you:
Contribute to the development of digital twins (numerical models) for Greenerwave antennas. These twins are based on statistical learning and data-driven approaches (machine learning, deep learning).
Develop multi-frequency model structures that can accurately predict the radiated field over a given frequency band.
Reduce training time for these models by exploring hyperparameters, model structures, and leveraging antenna symmetries.
Optimize these data-driven models to quickly predict configurations for our reconfigurable metasurfaces, enabling beam shaping.
Profile
You are pursuing a master’s degree or an engineering diploma in physics, engineering, or applied mathematics, with a focus on electromagnetism, optics, or acoustics. You are proficient in numerical computations using Python (preferred) or Matlab.
Professional skills
Knowledge of optimization tools and libraries such as PyTorch,
Proficiency in Git,
Good level of English (both oral and written).
Personal skills
Strong research abilities and curiosity,
Well-organized, with a structured mindset and the ability to present rigorous methodologies,
Good communication skills,
Multidisciplinary perspective, with the ability to account for engineering constraints and objectives.
Our perks
Challenging topics and custom training,
Financial support for lunch and transport,
Headquarters in the center of Paris,
Monthly events.
We encourage applications from individuals of all backgrounds, regardless of their ethnicity, gender, age, sexual orientation, disability, or religion. We value diversity and believe that each person brings a unique perspective that enriches our team.
You don’t fully fit this description? Don’t worry, we are also here to support our interns.
Then, put your doubts aside and send us your application 😊
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