PhD in Network Science: Modeling of Animal Networks 80 %

Join an Inspiring Academic Environment

The University of Zurich, Switzerland's largest university, provides a dynamic and engaging atmosphere within various academic disciplines and professional fields. With approximately 10,000 employees and a diverse range of professional apprenticeship programs, the University offers a platform for innovative research and superior education. Contribute your distinctive talents and skills to our community.

Key Responsibilities

• Develop and implement temporal multilayer network models integrating behavioral, genetic, and social data.
• Create and execute network null models for conducting statistical tests on inbreeding avoidance.
• Build simulations addressing mouse population dynamics for benchmarking and power analysis.
• Collaborate closely with biologists and geneticists, ensuring the biological relevance of computational methods.
• Disseminate findings in reputable peer-reviewed journals and present at international conferences.

Preferred Qualifications

• A fascination with fundamental questions in network science and complex systems, particularly in evolutionary biology.
• An MSc (or equivalent) in applied mathematics, physics, computational biology, or a related discipline.
• Proficient programming skills in Python; familiarity with graph libraries is an advantage.
• A solid foundation in network science, graph theory, stochastic processes, or statistical inference.
• Ability to work independently within an interdisciplinary research setting.
• Strong interpersonal skills and the ability to collaborate effectively within a team.
• Proficiency in spoken and written English.