As an intern in biomedical engineering, you will be involved in innovative projects focused on signal processing, with a particular emphasis on EEG signals. The ideal candidate should have a solid understanding of biomedical concepts and prior experience in the field, along with expertise in signal processing and knowledge in artificial intelligence, including machine learning and deep learning.

Responsibilities:

• EEG Signal Analysis: Perform advanced analyses of EEG signals to extract relevant information.

• Algorithm Development: Design, develop, and implement signal processing algorithms to enhance the quality and efficiency of EEG analysis.

• AI Integration: Apply artificial intelligence techniques, including machine learning and deep learning, to improve the detection and interpretation of patterns in EEG data.

• Validation and Testing: Collaborate with the team to validate the results of developed algorithms and ensure consistency with project requirements.

• Documentation: Write technical reports and document methodologies, results, and conclusions in a clear and concise manner.

• Technology Watch: Stay updated on technological and scientific advancements in the biomedical, signal processing, and AI fields.

• Students exclusively from prestigious engineering schools (Grandes Ecoles) or equivalent institutions, specializing in biomedical engineering, signal processing, or related fields.

• Mandatory previous experience in the biomedical domain, preferably engaged in projects related to EEG.

• Advanced proficiency in signal processing is a prerequisite.
  In-depth understanding and practical application of artificial intelligence, machine learning, and deep learning.

• Demonstrated expertise in programming tools, including Python, MATLAB, or equivalent.

• Capacity to work autonomously as well as collaboratively in a team.
  Strong communication and technical writing skills are crucial.

remote technical test

interview with internship supervisor and CTO

Final interview with CEO