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.
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
Ces entreprises recrutent aussi au poste de “Data Engineering”.