The Arber Laboratory at the University of Basel (Research Group Silvia Arber - Biozentrum), Mathis Group of Computational Neuroscience & AI (https://mathisgroup.org) and Mathis Laboratory of Adaptive Motor Control (https://mackenziemathislab.org) at EPFL (Geneva, Switzerland) offer a postdoc position with the goal to model the sensorimotor system controlling forelimb movements in mice. We aim to build hierarchical models of the sensorimotor system controlling mouse forelimbs based on a variety of datasets including anatomy, connectivity, high content neuronal recordings, biomechanics, behavior tracking, functional interventions, genetic/molecular and cell type information based on spatial transcriptomics.
EPFL is one of the leading Institutes of Technology in Europe, and
Biozentrum the home of Molecular Life Science embedded in the
Basel Circuits Neuroscience community. Both offer competitive salaries and research infrastructure, together allowing to approach this challenging research project.
Requirements:
Candidates should have a Ph.D. with a strong publication record in computational neuroscience or related fields, and be eager to interact with experimentalists. An ideal candidate would have prior experience in:
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Machine learning
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Modeling neural data
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Handling of large and diverse datasets
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Biomechanics
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Fluency in oral and written English is required.
Deadline and starting date: Applications are requested starting from December 1st 2023 and will then be processed as they arrive until the position is filled. The ideal starting date is spring 2024.
How to apply: Postdoctoral applications should consist of a motivation letter, a CV, two relevant publications, and the email addresses of two or more referees. Please submit your application to the EPFL hiring platform:
A functional map for diverse forelimb actions within brainstem circuitry.
Ludwig Ruder, Riccardo Schina, Hash Kanodia, Sara Valencia-Garcia, Chiara Pivetta and Silvia Arber, Nature, 2021
Structural and functional map for forelimb movement
phases between cortex and medulla
Wuzhou Yang, Harsh Kanodia and Silvia Arber,
Cell,
2023
Learnable latent embeddings for joint behavioural and neural analysis
Steffen Schneider*, Jin Hwa Lee*, and Mackenzie Weygandt Mathis, Nature, 2023
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing
Body
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis. NeurIPS, 2022.
Contrasting action and posture coding with hierarchical deep neural
network models of proprioception
Kai J. Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis**, Alexander Mathis**, eLife, 2023