ERC-Funded PhD in Network Neuroscience & Brain Dynamics

Complex Systems Society; Paris; Presencial; EUR 30.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully funded scholarships

Professional formations

Generous travel awards

Descripción de la vacante

A research institution in France is offering fully funded PhD scholarships in network science, inviting applications from motivated students with a background in physics, mathematics, computer science, or statistics. Successful candidates will work on theoretical developments and applications in neuroimaging, contributing to interdisciplinary research and receiving scientific education alongside generous travel awards. The program is expected to start in October 2020 and supports a comprehensive exploration of biological systems from a network perspective.

Formación

• Motivated students to explore biological systems from a network perspective.
• Familiarity with network science and neuroscience/imaging is expected.

Responsabilidades

• Work on the theoretical development of network science methods.
• Participate in data-driven research in neuroimaging and neuroscience.

Conocimientos

Network science

Research

Data analysis

Educación

MS in Physics, Mathematics, Computer Science, or Statistics

Descripción del empleo

The Inria ARAMIS Lab at the Paris Brain Institute announces several PhD scholarships funded by the European Research Council (ERC).

We welcome applications to work on the theoretical development of network science methods (Multilayer networks, Temporal networks, Network controllability), as well as application oriented data-driven research in neuroimaging and neuroscience. The ARAMIS Lab is highly interdisciplinary, hosting PhD students, postdocs and engineers with diverse backgrounds, including physics, mathematics, computer science, statistics, psychology and neuroscience. Scholarships are fully funded for 3 years. Scientific education, professional formations, as well as generous travels awards, are available throughout the PhD. Successful applicants will start from October 2020. Interested applicants are invited to visit the webpage of the principal investigator (sites.google.com/site/devicofallanifabrizio) and/or download the attached official announcement.

Available subjects

Our group is looking for PhD students in the area of network science. Our current work spans the development of network approaches for understanding brain functioning, characterizing neurological diseases, and discovering predictive biomarkers.

·Basic Qualifications

We seek students motivated to explore the complexity of biological systems from a network viewpoint. The ideal candidate has a physics, mathematics, computer science or statistics MS. Familiarity with network science and neuroscience/imaging is expected.

·Application Instructions

Prospective students should submit an application consisting of i) a current CV with university grades list, ii) a brief statement of research experience and interests, and iii) one letter of recommendation sent by the writer to: [e-mail]