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 
[email protected] with subject line “[CV-POSTDOC] <Your Name>”. 

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