Assistant/internship position in real-time fMRI neurofeedback
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.
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.