Open Positions


Postdoctoral Position in NHP Patch Clamp Electrophysiology

Are you fascinated by the mental capacities of primates? Would you like to reveal the cellular basis of working memory? If the answers are yes and you are an experienced patch clamp electrophysiologist, apply for our postdoc position and become a member of our Neuronex team NXWM! In a DFG-funded project, we offer the position of a Postdoc (TVL-E13; 3 years + 2 years optional) concerned with the detailed analysis of microcircuits in a highly organized basic module of the cortex, i.e. the column. For this exciting endeavour to define the connectivity motifs of GABAergic interneurons in macaques in vitro, we will first establish patch-seq in mouse and then move on to primate tissue, in collaboration with the German Primate Center (DPZ). The successful candidate must have a background in slice patch clamp electrophysiology. It will be advantageous to have Neurolucida reconstruction capabilities or experience with single cell-RNAseq. We expect a good deal of problem solving capacity and a strong enthusiasm for neuroscience. We are a young and dynamic research group with very good infrastructure at the excellent neuroscience research spot “Göttingen Campus”. PIs of this project are Drs. Andreas Neef and Jochen Staiger.



Postdoctoral Scholar in Computational/Theoretical Neuroscience

The research group of Lyle Muller in the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario) seeks a postdoctoral scholar in computational/theoretical neuroscience. This researcher will work within the international NeuroNex consortium studying the genetic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). This work will utilize a combination of large-scale numerical simulations, supervised/unsupervised learning, and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) is preferred. Prior experience with computational modeling, dynamical systems, and random graph theory is also preferred. Western University offers an excellent research environment and support.

Contact: lmuller2@uwo.ca



Commitment to Diversity


Our research consortium and the individual labs are deeply committed to fostering diversity in scientific research. Applicants from groups historically underrepresented in neuroscience are strongly encouraged, and applicants are welcomes to write any PIs with questions about the research environment.