The publications from the Wyart lab are accessible on our website here: http://wyartlab.org/publications


We are hiring a skilled engineer in physics / computer science to deepen our analysis of behaviors using deep networks! Interdisciplinary PhD program: HIRING a computer science and neuroscience in the ZENITH European Training Network, more on https://zenith-etn.com

The European Training Network coordinated by Claire Wyart started on October 1st, 2019. 15 international doctorate students from physics, maths, biology, and computer science will follow an interdisciplinary program bridging scales and disciplines to investigate circuits underlying behavior in small transparent fish.

Job Description Curious and motivated coding Engineer for controlling high speed acquisition systems, deep learning applied to image analysis, and signal processing for the study of neuronal activity underlying the selection of behavioral sequences. The engineer will work in the Wyart lab, located in the Paris Brain Institute downtown Paris.

Our lab investigates the circuit mechanisms underlying sensory feedback during locomotion and postural control in the brain and spinal cord. The lab carries approaches at the interface between biophysics and neuroscience. The Wyart lab develops original experimental setups relying on diverse imaging methods such as 2 photon imaging, light-sheet microscopy, spinning disk microscopy, dynamic full field optical coherence tomography. The Wyart lab pioneered the use of optogenetics in combination with in vivo electrophysiology for synaptic connectivity mapping. Synchronous imaging and behavioral experiments lead to very large data sets, which require the development of automated approaches for data extraction, visualization, analysis and modelling.

Skills in data acquisition systems, image processing, deep learning or modelling. The engineer will develop image analysis and data processing programs to extract relevant information from live imaging of neuronal activity, in vivo electrophysiological recordings and behavioral experiments to be carried out in an automated manner. The person recruited will work for the benefit of multiple projects involving image and signal analysis, deep learning and modelling.

International training and collaborations. The engineer will contribute to a novel effort of extracting and modelling sequences in the chemotaxis behaviour in collaboration with the theorist Massimo Vergassola (IBENS, Paris) and the expert in causality analysis between neuronal activity and behavior Moritz Grosse-Wentrup (U Wien, Vienna, Austria). The position to be filled by Oct 1st, 2020 is secured for 3 years and will be associated with intensive training and collaborations within a European training network. This affiliation will ensure that the engineer to be recruited will benefit from the optimal training adapted to her/his current expertise and all needs for completing the projects.

**In order to promote international applications and mobility, we will consider only applications from engineers who:

The Wyart lab shows commitment to a diverse work force: we identify and promote the most talented and diverse individuals. Our program aims to mentor minorities in order to enhance diversity in science.

Dr. Wyart is EMBO Young investigator & EMBO full member, New York Stem Cell Foundation (NYSCF) Robertson Investigator, FENS-Kavli Network of Excellence (FKNE) Scholar and Board member. Commitment to science outreach and training in science: https://wyartlab.org ; https://zenith-etn.com ; https://en.adioscorona.org


Claire Wyart graduated from the Ecole Normale Supérieure Ulm in 2000. Under the supervision of Laurent Bourdieu and Didier Chatenay, she obtained her PhD in biophysics and neuroscience from the University of Strasbourg and moved to University of California in Berkeley for her postdoc. In the lab of Udi Isacoff, she developed optical techniques to control activity of neurons remotely in vivo (optogenetics).

The team of Claire Wyart now combines genetics, biophysics, physiology & behavior to understand how sensory inputs are integrated in the spinal cord during development and active locomotion. Her lab discovered that neurons contacting the cerebrospinal fluid (CSF) in the spinal cord are mechanoreceptors detecting curvature of the spinal cord and CSF flow, which modulate the activity of spinal neurons controlling locomotion and posture. We use the transparent zebrafish larva to implement optical methods for manipulating and monitoring neuronal activity in motion. Our work aims to unravel the mechanisms by which interoceptive sensory inputs are integrated throughout life to form the spinal cord, and insure homeostasis in the mature stages.


Neuromodulation in hindbrain and spinal cord

Arousal locomotion is strongly modulated by our inner physiological states. This spontaneous exploratory locomotion reflects the excitability of motor circuits in the spinal cord as well as descending commands from the brain, in particular from the hindbrain. The underlying mechanisms controlling the occurrence of spontaneous locomotion and its natural variability among animals and across physiological states within one animal are not well understood. We are interested in probing neuromodulatory pathways in the hindbrain and spinal cord for setting the frequency of occurrence of locomotion in the context of circadian rhythm, inflammation and feeding.

Modulation of motor circuits via the cerebrospinal fluid

The classical view of spinal cord physiology relies on the fact that motor functions are carried by ventral spinal cord while dorsal spinal cord integrates sensory inputs from the periphery. Up to recently, there was no evidence that the vertebrate spinal cord carried itself sensory functions. Our team has shown evidence for a central sensory motor loop localized in the spinal cord and modulating circuits underlying locomotion and posture. We have evidence that the morphology and molecular markers of this central sensory system is conserved in the mammalian spinal cord.

Mechanosensory feedback to the spinal cord during active locomotion

The contribution of mechanosensory feedback to active locomotion and the nature of underlying spinal circuits remain elusive. We investigate how mechanosensory feedback shapes active locomotion in the zebrafish larva. We find that mechanosensory feedback enhances the recruitment of motor pools during active locomotion. We show that inputs from glutamatergic mechanosensory neurons increase locomotor speed by prolonging fast swimming at the expense of slow swimming during stereotyped acoustic escape responses. Altogether, our efforts reveal the basic principles and circuit diagram underlying speed modulation by mechanosensory feedback in the vertebrate spinal cord.





Wyart Lab

Spinal Sensory Signaling


47, bld de l'hopital

Paris 75013 - FRANCE