The Mathis^2 and Arber labs seek applicants for a postdoctoral fellow in computational neuroscience

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:

      Machine learning

      Modeling neural data

      Handling of large and diverse datasets

      Biomechanics

      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:

https://recruiting.epfl.ch/Vacancies/3178/Description/2



Related Work: 

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


Please do not hesitate to reach out, if you have any questions! If you want to do a PhD on this topic, also feel free to reach out. 


Best wishes,
Alexander Mathis 



P.S.: We also have an open software engineer position. We started interviewing, but are inviting further top candidates to apply: https://recruiting.epfl.ch/Vacancies/3124/Description/2







Alexander Mathis
Tenure Track Assistant Professor

people/alexander.mathis
mathislab.org