Postdoktor inom beräkningsneurovetetenskap & hjärninspirerad AI
Core
Develop and study brain-like feed-forward and recurrent network architectures in semi-supervised and unsupervised learning problems.
Role type
Postdoctoral researcher (computational neuroscience & brain-inspired AI)
Builds
Scientific articles and simulations of neural network models
Domain
Computational neuroscience and machine learning
Deliverable
research
Required skills
PhD in relevant field, programming for scalable code on supercomputers, computational neuroscience, machine learning, neural networks, academic publishing, English (fluent)
Preferred skills
Spiking and non-spiking neural networks, local learning rules, MPI and GPU programming, large-scale simulation, teaching experience
Technologies
MPI, GPU, supercomputers
Responsibilities
Study relevant literature, design and simulate neural network models, analyze and interpret results, benchmark brain-like architectures against conventional ML methods, participate in academic discussions, write scientific articles
Seniority
Postdoctoral (early career researcher)
