The Decision and Bayesian Computation (DBC) and Bayesian Computation (DBC), the Perception and Memory (PM) labs and the Image Analysis Hub (IAH) at the Institut Pasteur of Paris are seeking either a talented postdoctoral researcher or an engineer for a project at the frontier of neuroscience, modeling and computer vision. The recruited researcher will work on an muli-laboratory project which aims to explore how a depressive-like state alters neuronal circuits in the olfactory system by implementing an innovative technological approach to quantify brain connectivity in 3D. She/He will be in charge of modeling and analyzing the light-sheet microscope images generated during the project. The project involves the Perception and Memory lab, the decision and Bayesian computation lab and the Imaging Analysis Hub.
The proposed 2-year position (that could be extended) will mainly consist of the following tasks:
● Development within a new framework mixing Virtual reality tablet app and big data processing pipeline one shot learning procedure from minimal user input.
● Design a set of physics & geometry-informed self-supervised pretext tasks to improve segmentation learning.
● Develop within the Graph Neural Network (GNN) pipeline of the DBC lab a new approach to biological
neural circuit characterization.
The candidate should have, or expect to have, a PhD degree or equivalent degree (Engineer) in a related field with prior research experience stated in the above. The successful candidate could be
– an applied mathematician willing to work at the frontier of neurosciences
– a physicist willing to work at the frontier of neurosciences
– a machine learning engineer
– a neuroscientist with coding knowledge
