Topic: numerical methods

Develop mathematical models and numerical methods for physical, engineering and complex systems. Research areas include differential equations, scientific computing, optimization, nonlinear dynamics, mathematical physics, network science and multiscale simulation. Faculty teach, supervise students, seek research funding and contribute to curriculum development. English is the working language. Applications received before 1 November 2026 receive full consideration; the search continues until filled.

Join Brian Reville’s Astrophysical Plasma Theory Group for an initial two-year appointment. Use analytical and numerical methods in high-energy particle and astroparticle physics to investigate how next-generation gamma-ray instruments can constrain dark-matter candidates. Develop predictions for observations across wavelengths, interpret results and prepare scientific publications. Remuneration follows Germany’s TVöD public-sector agreement.

Classic studies show that in many species – from leech and cricket to primate – responses of neural populations can be quite successfully read out using a measure neural population activity termed the population vector. However, despite its successes, detailed analyses have shown that the standard population vector discards substantial amounts of information contained in the responses of a neural population, and so is unlikely to accurately describe how signal communication between parts of the nervous system. I will describe recent theoretical results showing how to modify the population vect