Jobs

Interested in jobs at MIP:lab or related?

FULLY-FUNDED 2-YEAR POSTDOCTORAL POSITION STARTING APRIL 2019

In the context of a research project funded by the Swiss National Science Foundation (http://p3.snf.ch/project-173153), the Neurology Unit (PI: Dr. Gilles Allali) at the Department of Neurology of the Geneva University Hospital and the Medical Image Processing Lab (PI: Prof. Dimitri Van De Ville, http://miplab.epfl.ch/) at the Ecole Polytechnique Fédérale de Lausanne and the University of Geneva, are looking to hire a

FULLY-FUNDED 2-YEAR POSTDOCTORAL POSITION STARTING APRIL 2019
 
The project focus is on the identification of reversible neural network, by comparing the brain correlates (i.e., structural and functional) between patients with normal pressure hydrocephalus and healthy older adults.

The candidate should have expertise in MRI data analysis to develop/apply computational methods that can quantify transitions in brain activity (or connectivity) in patients with normal pressure hydrocephalus and in normal aging. She/he will also be able to contribute to a number of ongoing research projects in our lab labs by analyzing neuroimaging data from the current study. In addition, she/he will have the opportunity to collaborate with the clinicians of the Department of Neurology of the Geneva University Hospitals.  

The successful candidate should:
• Have a PhD in a relevant field of study and demonstrated experience with the processing and statistical analysis of neuroimaging data.
• Have solid experience with studies combining behavioral, gait and other clinical measures with neuroimaging data.
• Have excellent English writing skills (French is optional).

Interested candidates should email the following to Dr. Gilles Allali
• A cover letter describing your background and research interests
• Full CV and publication list
• Names, email, and coordinates of at least two references

The initial position is for one year, with the option to renew for a second year, given satisfactory performance. The applicants will be considered on a rolling basis.


Data analysis manager at Campus Biotech [closed]

The Human Neuroscience Platform of the Campus Biotech in Geneva will be recruiting a Data Analysis Manager in Statistical Methods & Modeling for Brain Imaging to provide high-end support to researchers in neuroimaging techniques.


Post-Doctoral Fellows

The Medical Image Processing Lab (MIP:Lab) has regularly openings for motivated postdoctoral researchers to develop innovative methodologies for computational neuroimaging (fMRI, EEG,...). MIP:Lab is jointly affiliated with the EPFL and the University of Geneva. We closely collaborate with scientists in neuro-engineering (i.e. the Center for Neuroprosthetics) and in clinical and cognitive neurosciences.

Preferred qualities from the applicant include:

  • PhD in MR physics, biomedical engineering, signal processing, computational neurosciences or related
  • Experience in fMRI and related data processing
  • Working knowledge of network theory, machine learning, applied statistics, dynamical systems,... is welcome
  • Good publication record
  • English fluency, good team player

Qualified candidates should send reference letters and their detailed CV with publication record to Dimitri Van De Ville.


Ph.D. Studentship in signal processing and functional brain imaging

Applications from PhD students are invited from motivated individuals for a fully-funded PhD studentship in signal processing and functional imaging based at the EPFL and the Geneva Medical Center at the University of Geneva. Successful applicants will undertake an inter-disciplinary PhD, specializing in the area of signal processing and functional brain imaging.

Depending on the open PhD position and your background, you will be enrolled in the doctoral program of the EPFL (i.e., engineering profile or equivalent: in that case, the PhD application material should be accepted by one of the EPFL Doctoral Schools first) or of the University of Geneva (i.e., neuroscience profile).

Interested applicants should submit a curriculum vitae, a personal statement, two confidential references and a transcript of undergraduate results to Dimitri Van De Ville.