Postdoctoral fellowship available in Scientific Computing at Simula Research Laboratory
Core
Developing new mathematics, algorithms, and software tools to understand brain fluid dynamics and clearance processes, particularly during sleep, using multi-physics simulations and machine learning.
Role type
Postdoctoral fellow in scientific computing and applied mathematics
Builds
A software framework for advanced biomechanical brain simulations and accurate, efficient algorithms for multi-physics problems
Domain
Neuroscience, computational physiology, scientific computing
Deliverable
production ML models | research
Required skills
numerical methods for differential equations, high-level programming (Python, Matlab, Julia), applied mathematics, computational life science or bioengineering
Preferred skills
knowledge of brain physiology, experience with reduced order modeling, machine learning methods
Technologies
finite element methods, machine learning, high-performance computing (HPC)
Responsibilities
Develop novel numerical analysis for advanced multi-physics brain simulations; contribute to new fluid dynamics mechanisms research; build patient-specific simulation frameworks
Seniority
Postdoctoral, research-focused IC