PhD Position in Computational Methods for Digital Twins of Embryonic Development & Disease

Digital twins of living systems are a hard computational problem: nonlinear, high-dimensional models with uncertain parameters that must be fitted to noisy data, and simulations so expensive that fitting them demands new algorithms and scalable software. We apply this to real questions, from how tissues self-organise during embryonic development to digital twins that support IVF treatment planning. You will build the algorithmic infrastructure that makes this possible, working with modellers, experimentalists and clinicians, and building on our open-source simulation tools.

The PhD position focuses on developing the algorithmic infrastructure behind our digital twins. You will:

Excerpt from the advertisement on jobs.ethz.ch, where the full text and the application are.