[Eeglablist] Open Postdoc Position at EPFL

[Ryan McNamara]

Post-Doctoral Researcher at EPFL on Computational Visual Neuroscience –
start date as soon as possible!

Application open until filled

Position Description

We are seeking a postdoctoral researcher for a one-year (renewable) project
within the MIP:Lab of the Ecole Polytechnique Fédérale de Lausanne (EPFL)
located at the Campus Biotech in Geneva, Switzerland. The project is at the
interface between an industrial partner and the MIP:Lab headed by Prof.
Dimitri Van De Ville.

Start date is as soon as possible (date may be negotiable) and will last
for approximately 15 months (renewable). At the end of the postdoc, there
will be an opportunity to join the company as an employee.

The post-doctoral researcher will join a team of academic and industrial
group members to work on new computational modeling frameworks for rapidly
time-varying functional networks in late sensory and non-sensory cortex in
the context of biofeedback-influenced video viewing. A mix of theoretical,
algorithmic, and empirical work is expected, in collaboration with an
industrial partner in the healthcare technology/AI field providing
behavioral and neural (streaming M/EEG) data. Some first-hand behavioral
and neural data (M/EEG) is also expected to be acquired in the M/EEG
Platform at the Campus Biotech.

We are interested in maintaining the rich diversity in our work teams and
encourage applications from all interested candidates. The salary range at
EPFL is competitive and the quality of living in Switzerland is
outstanding.

Qualifications

The ideal candidate will have a PhD, strong quantitative, signal
processing, and machine learning skills, data analytic expertise (Python
and Matlab), and enthusiasm for broadly advancing the treatment of
neurological disorders. Experience with neuroimaging is required,
preferably with human subjects. The candidate should be creative, enjoy
problem solving, and be prepared to collaborate within a larger team with
diverse expertise. Experience in commercial biomedical development is also
preferred. Appropriate background/training includes systems or engineering,
physics, machine learning and data science, as well as cognitive
neuroscience.

Application Instructions

Please send your motivation letter, CV with publication list, one-page
personal research statement, and contact information of three referees, to
ryan.mcnamara at dandelion.science with subject line “[CV-POSTDOC] <Your
Name>”.