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

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.

• 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