[February 2023] Post-Doctoral Researcher at EPFL on M/EEG neurofeedback – start date as soon as possible!
Application open until filled
We are seeking a post-doctoral 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).
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 Human Neuroscience 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.
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 human neuroimaging or real-time brain computer interfaces is preferred. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as cognitive neuroscience.
Qualified candidates should send motivation letter, CV with publication list, one-page personal research statement, and contact information of three referees, to Dimitri Van De Ville with subject line “[NFB-POSTDOC] <Your Name>”. You can also provide a link to a short 2-minutes video introducing yourself.
[November 2022] Several PhD and Post-Doctoral positions in new SNSF Sinergia project
[May 2021] Postdoctoral position available to work on MRI pipelines
To promote open & reproducible science by standardized pipelines for MRI data analysis, a postdoctoral position is available at the EPFL MIP:lab (https://miplab.epfl.ch/) to implement and improve the latest computational methods for functional and structural human MR connectomics into pipelines following state-of-the-art standards (e.g. BIDS, Pydra). A direct foreseeable application is related to imaging data of a large longitudinal cohort of stroke patients.
The ideal candidate is a junior post-doctoral researcher with strong skills in both neuroimaging and software engineering. Experience with python, git and neuroimaging data analysis tools is required, and prior experiences with databases, web development and cloud technologies are a plus. A Master's degree (or equivalent) in engineering, computer science, or physics is an advantage, but not required.
The position is for one year and renewable for another one, with starting date as soon as possible. The EPFL MIP:lab is located at Campus Biotech, Geneva, a hub for human neuroscience research that hosts laboratories from EPFL, UNIGE and HUG working in both clinical and non-clinical research, as well as in neuroengineering technology research and development.
Qualified candidates should send cover letter, CV (including publications and references), as well as a link to short 2-minutes video introducing yourself, to Prof. Dimitri Van De Ville email@example.com
[February 2021] Research Assistant Position (4 months)
This position is for a full-time research assistant for a duration of 4 months within the framework of a larger research project. The project aims to investigate if patients with Parkinson’s disease under treatment could shed light onto the mechanisms of addiction. To do so, we planned to examine if Parkinson’s disease patients and substance dependent patients shared common structural abnormalities as compared to healthy controls.
The candidate will work closely with an interdisciplinary team of engineers, computer scientists, and neurologists. The project will be carried on within the laboratory of Prof. Dimitri Van de Ville at EPFL under the supervision of Dr. Elvira Pirondini and Dr. Vanessa Fleury.
The candidate will focus his/her work on the analysis of diffusion-weighted MR images with the objective to compare Parkinson’s disease, substance dependent patients, and healthy controls.
The candidate should possess a background in Neuroscience, (Neuro)Imaging, or Biomedical Engineering. The Candidate should have skills in at least some of these areas:
• Clinical imaging
• Proficient in coding
• Diffusion-weighted MRI data analysis
Interested candidates should send their application file to Elvira Pirondini (Elvira.Pirondini@epfl.ch) and Dimitri Van De Ville (Dimitri.VanDeVille@epfl.ch)
[November 2020] Post-doc position on “Mapping the higher-order dynamics of neurodegeneration in human brain networks” with Dr. Enrico Amico
[July 2020] LNCO+MIPLAB joint post-doc position: fMRI for cognitive and psychiatric complications in patients with mild cognitive impairment and neurodegeneration
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.