PhD in Network Science: Modeling of Animal Networks

Develop and implement temporal multilayer network models combining behavioral, genetic, and social data • Develop and implement network null models for statistical tests of inbreeding avoidance • Build simulations of mouse population dynamics for benchmarking and power analysis • Collaborate closely with biologists and geneticists to ensure the biological validity of computational methods • Disseminate results in high-quality peer-reviewed journals and at international conferences

Fascinated by fundamental questions in network science and complex systems, with an interest in evolutionary biology • MSc (or equivalent) in applied mathematics, physics, computational biology, or a closely related field • Strong programming skills (Python); familiarity with graph libraries is an advantage • Background in network science, graph theory, stochastic processes, or statistical inference • Ability to work independently in an interdisciplinary research environment • Strong interpersonal and team collaboration skills • Fluency in spoken and written English