Greenerwave has acquired solid expertise in the design of reconfigurable metasurfaces at different frequencies (from 1GHz to 77 GHz) and in the development of physics algorithms based on wave propagation in complex environments. This expertise has allowed us to perform ultra-fast beam steering for satellite communications and to reach unprecedented resolutions in radar imaging.

The Algorithm & Modelling team is working on implementing and optimizing numerical models of the antennas in order to improve and speed up the development and usage of Greenerwave products.

As part of the activities within the Algorithm & Modelling team, composed of 9 people, your missions will be the followings:

• Contribute to the development of numerical models of our antennas based on physics principles, and use these models to guide teams dedicated to antenna design.

• Optimize these models based on physical principles in order to evaluate the antenna performance based on their design.

• Contribute to the development of numerical models of our antenna based on training using datasets (data-driven, machine learning, deep learning).

• Optimize these models based on training from the dataset in order to find appropriate configurations for beamforming operation.

Graduated from an Engineering School (BAC+5 or University equivalent) or a PhD, you are specialized in wave propagation, numerical modelling and you have a solid set of skills in applied mathematics. You have experience in the optimization/calibration of models based on experimental data. You have an interest in applied physics problems, and wave physics in particular.

Professional skills

• Breadth of experience with numerical methods, especially in Python, for wave propagation is highly desirable, particularly Fourier domain methods or Green formalism.

• Knowledge of tools and frameworks for numerical optimization, e.g., PyTorch for gradient descent.

• Knowledge of Git is highly appreciated.

• Experience with full-wave simulation software like CST is a plus.

• Professional level of English required (oral and written).

Personal skills

• Good interpersonal skills and ability to work cross-functionally with different teams.

• Research competency, curiosity.

• Autonomous, ability to handle responsibilities and take initiative.

• Organizational skills, structured thinking.

• Ability to step back and consider the constraints and objectives in terms of engineering.

• You are passionate and foster excellence.