Doctoral student in brain-like machine intelligence and artificial cognition
Core
Develop and simulate large-scale neural network models of the brain's cognitive function, specifically the cortical memory system, to advance brain-inspired AI systems.
Role type
Doctoral researcher in computational neuroscience and brain-inspired AI
Builds
Computational neural network models of cortical memory and brain-like intelligent systems
Domain
Cognitive science, computational neuroscience, machine learning/AI (deep generative modelling), dynamical systems
Deliverable
research
Required skills
Scientific programming, numerical simulations, GPU programming, large-scale neural network modeling (spiking/non-spiking), deep generative modelling
Preferred skills
Experience with large-scale neural network based brain models, interest in cortical computations
Technologies
Spiking and non-spiking neural networks, GPU programming
Responsibilities
Build large-scale brain plausible network-of-networks models, propose novel architectural blueprints for AI agents, evaluate emerging models given multi-modal data, engage in interdisciplinary efforts, write scientific papers, independently pursue research work
Seniority
Doctoral student (early career researcher)