Master in Neuroengineering

M2 Life sciences and health

Les sciences du vivant incluent un ensemble de disciplines fondamentales et médicales, développées sur des modèles et des problématiques variés, allant de l’échelle du génome à celle de la population. Elles utilisent des concepts communs, des méthodologies complémentaires, des systèmes modèles identiques, pour répondre aux enjeux spécifiques de chaque domaine.

La formation de Master en Biologie-Santé prend en compte les enjeux réciproques pour la Biologie et pour la Santé :

• enjeux sociétaux et valorisation pour les étudiants scientifiques,
• enjeux scientifiques fondamentaux et méthodologiques pour les médecins et pharmaciens.

Presentation and program on the website of Paris-Saclay University

M2 Master in Computational Neuroscience and Neuroengineering (CNN)

M2 Life sciences and health > Computational Neuroscience and Neuroengineering (CNN)

The target of the Computational Neuroscience and Neuroengineering Master program is to present the concepts, technological achievements, methodological approaches and research challenges in computational neurosciences and neuroengineering. It also aims to raise students' awareness of the theoretical, experimental, applicative, entrepreneurial and ethical themes of Neurosciences using the concepts of Physics and Engineering Sciences. Students have access to an unique interdisciplinary training, enhancing their skills in research, analysis and scientific presentation and developing their ability to work as part of a multidisciplinary team.

The CNN Master courses programme targets students with a range of backgrounds, including Life Sciences, Computing Science, Mathematics, Physics and Engineering. One part of the courses is focused on the theoretical approaches and the remainder is focused on a research project. Student will achieve the CNN Master with his own skills and interests.

During the first semester, lectures such as the physiological bases of neurosciences, the neural bases of perception, the techniques for measuring and stimulating neural activity, the processing and analysis of neural signals, the dynamic systems in neuroscience, will provide the necessary tools to understand the complex phenomena involved in processing and transmitting information in the brain. A supervised scientifc project will complete the students' training during the semester one.

Semester two begins with an research internship of three to six months. This internship gives students real research experiences in computational neurosciences and neuroengineering. They will have the opportunity to work closely with a leading research team in the academic laboratories and opportunities will be created to work on industry lead projects. They will benefit from the supervision of experienced researchers. The project can be carried out with a research group at University Paris-Saclay, with an industrial partner or with a research institut in France or worldwide.

For more informations

> Get the flyer Master M2 CNN (Pr Sabir Jacquir)

> Paris-Saclay International Master's Scholarships Program 2020-2021 (To apply to a scholarship)

Presentation and program on the website of Paris-Saclay University