PhD position in “multimodal imaging to understand neurodevelopmental vulnerability for developing schizophrenia” in Geneva (11/20)
Microsoft Word - PhD_Eliez_Lab.docx (175 Ko)
Microsoft Word - PhD_Eliez_Lab.docx (175 Ko)
Learning the connectome graph spectral properties of human behavior
Up to 4 year Ph.D. & post-doc positions are available at the Centre Hospitalier Universitaire Vaudoise (CHUV, Lausanne, Switzerland) and University of Lausanne (UNIL) funded through the Swiss National Science Foundation
(SNSF), and available with an effective start date as soon as possible. Join CHUV's Connectomics Lab (https://wp.unil.ch/connectomics) to work with Prof. Patric Hagmann and his team. The Connectomics Lab is a research group at the Dept. of Radiology of CHUV involved in pioneering work on connectome mapping methods and clinical application in neurodevelopment and psychiatry. By joining the department, you'll have access to MRI scanners for your research, as well as high-performance computing and GPU resources, while located in the very center of the vibrant Lausanne. As a PhD student your training will take place at the Lemanic Neuroscience Doctoral School (University of Lausanne) with also extensive access to courses at EPFL. Salary is in compliance with SNFS and CHUV guidelines and the contract is for up-to-four years.
You want to apply your computational and analytical skills to real neuroscientific and medical challenges? You want to propose new analytic methods to link brain structural connectivity and brain functional dynamics to behavior?
OBJECTIVES of the project MR connectomics provides a large diversity of functional and structural brain graphs. Those multi-modal connectomes contain rich subject specific information that is potentially related to
cognition/behavior, as well as psychopathology. We propose to express connectomics data as a graph spectrum and show that specific behavioral and psychopathologic dimensions relate to specific sparse spectral
representations. Hence, we expect to discover specific connectome spectral signatures (brain imaging biomarkers) of behavioral and psychopathology domains.
METHODS TO BE USED (1) We will work with 2 MRI neuro-imaging cohorts, the open Human Connectome Project cohort (for behavior and cognition) and the Lausanne Psychosis Cohort for psychopathology. (2) In terms
of projection methods, we will first, express each subject’s connectome graph signal as a spectrum using graph Fourier transform and in a second step use graph deep learning to define data driven spectra of entire
multimodal connetomes. (3) Behavior and psychopathology are expressed in terms of continuous domains using either the RDoc framework or other data driven groupings. (4) Behavior is linked to connectome spectra is done
by using various statistical methods.
✓ An MSc. / PhD degree in maths/physics, electrical/biomedical engineering, signal processing/data
science, or related field.
✓ The successful candidate will be a motivated researcher, open-science advocate, with self-initiative
and curiosity, and a strong willingness to work in team with other disciplines and colleagues.
✓ Experience with graph signal processing and/or machine learning will be particularly considered.
✓Proficiency in programming (Python preferred) is necessary
Please let us know your interest (firstname.lastname@example.org), and feel invited to request mentoring
references for Prof. Patric Hagmann. We'll be happy to connect you to some of his former/current
students — at Connectomics Lab, your training and your career development are set first ahead of the
lab's research program.
The project supported by the Swiss National Foundation (FN n° 31003A_179527/1) concerns the development of viral vectors for gene therapy of Parkinson’s disease.
The candidate should have an experience in basic molecular biology, cell culture and histological methods.
Interested? Please contact Liliane.Tenenbaum@chuv.ch
For more information on the lab please see here: http://www.unil.ch/lcmn/home/menuinst/research-groups/gene-transfer-for-parkinsons.html
The Movement Disorders Research Lab, Department of Neurology / Clinical Neurosciences, CHUV / University of Lausanne, offers a position of a PhD student for 3 years.
Our research objectives are to understand better the pathophysiology of movement disorders and to explore the novel therapeutic approaches with a focus on gait disorders and non-invasive brain stimulation. The Lab is fully-equipped with state-of-art TMS, tDCS-tACS, ENMG, EEG and combined EMG-EEG recordings, kinematic and gait analysis with inertial monitors and robotic devices, and neuro-navigation. We collaborate with a gait lab and have access to imaging facilities.
The candidate will focus on a multi-center therapeutic study of gait disorders in Parkinson’s disease and atypical Parkinson disorders and will participate in neurophysiological investigations of the pathophysiology.
The successful candidate must qualify to enter a PhD program and have a solid background in medicine, neurophysiology or neuroscience.
Experience in clinical research with patients.
Being motivated, a team player and empathetic with our patients.
Good knowledge of French, English and German.
We offer a competitive CHUV/UNIL salary. The position is available immediately.
If interested, please contact me: PD Dr. David Benninger, (email@example.com), 079 556 38 93. Applications including a CV and the names and full contact details of 1-2 referees, can be sent by email.
A 70% post-doc position in clinical neuroscience/neurorehabilitation is available as of January 1st 2021 at the Division of neurorehabilitation of the University Hospitals of Geneva (minimum duration of project: 2 years).
The selected candidate will use fMRI to examine anatomical and functional links between motor planning and higher cognition in healthy participants and brain-injured patients.
The desired applicant should have a background in cognitive neuroscience or psychology, excellent technical skills and experience in designing, conducting and disseminating research that uses experimental approaches. He/she should show strong interest in research on cognitive functions and ideally have some experience with clinical populations. Excellent knowledge of fMRI analysis techniques including event-related designs and connectivity analyses (or the capacity to quickly acquire this knowledge) is an essential condition for this position. The qualified candidate should be able to communicate with test subjects and patients in French language. He/she will benefit from working in a dynamic setting and will have the opportunity to contribute strongly to the research plan with own ideas.
Interested applicants should submit a letter of interest and curriculum vitae to Prof. Radek Ptak, who is also available for additional information.
Prof. Radek Ptak
Service de Neurorééducation
Hôpitaux Universitaires de Genève
26, av. de Beau-Séjour
Tel. +41 (0)22 372 35 24
Please also check the Lemanic Neuroscience Facebook and LinkedIn group!
e-mail the LN Coordinator