Reporting to Nathalie, Algorithm & AI Research Engineer, you will play a key role in developing and optimizing control models for our antennas based on reconfigurable metasurfaces. You will contribute to training these models using experimental data from “near-mid field” test configurations and apply advanced Machine Learning and/or Deep Learning techniques to develop robust, practical solutions in antenna control. Here are the tasks waiting for you:

Analyze the operation of our reconfigurable antennas:

• Study the properties and physical mechanisms of metasurfaces to understand their operational principles,

• Collaborate with research teams to translate this knowledge into precise control models,

Acquire and structure experimental data:

• Assist in setting up protocols to collect data on various antenna configurations,

• Organize, clean, and prepare this data for use in advanced algorithms,

Develop data analysis tools:

• Design algorithms to convert collected “near-field” data for “far-field” applications,

• Implement methods for visualizing and validating the data, ensuring its relevance for real-world applications,

Apply Machine Learning techniques to learn physical parameters:

• Use Machine Learning techniques to model the physical behavior of antennas based on experimental data,

• Make these models operational for both experimental and real-world scenarios,

Optimize antenna performance:

• Test and evaluate advanced Machine Learning and/or Deep Learning approaches, based on the state of the art, to optimize metasurface configurations,

• Propose solutions to maximize antenna efficiency in real-world conditions.

Profile

You are preparing for a master’s/engineering degree in physics or applied mathematics and have knowledge of Machine Learning. You are comfortable with numerical computations in Python.

Professional skills

• Knowledge of wave physics,

• Proficiency in linear algebra and vector analysis,

• Familiarity with Machine Learning/Deep Learning,

• Skills in one or more programming languages such as Python or Matlab,

• Familiarity with radio frequency systems and measurement techniques,

• Good level of English (both oral and written).

Personal skills

• Good communication skills,

• Ability to work in an international team,

• Adaptability and flexibility,

• Proactivity.

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 😊