Jobs
Highlights
PhD in Network Science: Modeling of Animal Networks
We are seeking a highly motivated PhD student to join our Quantitative Network Science research group at the Department of Mathematical Modeling and Machine Learning at the University of Zurich. Wild populations are increasingly exposed to demographic decline and fragmentation, making inbreeding and its consequences a central problem in evolutionary biology and conservation. We address this using one of the most comprehensive datasets available for any vertebrate population: a long-term field study in Switzerland of more than 20,000 wild mice that vary naturally in degree of inbreeding. This project investigates inbreeding avoidance in wild house mice using a novel multilayer temporal network modeling framework that integrates behavioral, genetic, and social co-nesting data, and aims to develop new statistical and computational tools applicable well beyond the study system. The PhD project is embedded in a collaborative framework with network scientists and evolutionary biologists at the University of Zurich and at Columbia University. You will be embedded in an active and collaborative research group with access to a unique long-term dataset and outstanding scientific support. You will benefit from close collaboration with leading groups in biology, network science and genomics. We are committed to fostering an inclusive and respectful working environment.
Full-time lecturer (M/F/X) in the Department of Mathematics of the Faculty of Science
Upcoming jobs
2 years Post-Doctoral position at LPTM, CNRS-CY Cergy-Paris University (Paris region, France). Modeling opinion dynamics under cognitive biases.
The role of cognitive biases on the dynamics of opinion formation and diffusion at large scale. This position is open in the framework of the ANR project From individual cognitive biases to collective drifts on on-line social networks, (COBCOD) https://iscpif.fr/cobcod/ devoted to understand how cognitive biases are amplified and potentially altered through repeated online interactions. Specifically, we seek to identify the mechanisms driving the emergence of dynamic patterns unique to online environments and explore how these collective dynamics, in turn, influence individuals. Moreover, we aim to find strategies for mitigating these effects and test them through models and experiments. To achieve these objectives, the synergy of multiple approaches is essential, including individual-based modeling, complex computer simulations using both standard and generative agent-based models (ABM and G-ABM) to study the effects of biased agents in online networks, theoretical analysis of emergent phenomena, large-scale social network data analysis, online experiments with volunteer users, and fully controlled laboratory experiments. See attached file for more details on the application procedure.
PhD positions in Barcelona
We have two PhD positions available in Barcelona about the topic "Fluctuations and synchronization phenomena in physical systems, with application to power grids"
Physics-based modelling of active mobility and adaptation of urban infrastructure to heat waves
Active mobility modes, such as walking, cycling, and sometimes riding e-scooters, are sustainable modes of transportation, but they are highly vulnerable to weather conditions, in particular the heat waves that are bound to get more frequent and more intense in the decades to come. Hence the issue of how to best adapt urban infrastructure and arrange public space to make cities more resilient in the face of these changes. The PhD project aspires to gain insight into this major challenge by exploring them through the lens of fine-scale, physics-based modelling of mobility. For more details and information about the application process, visit: https://www.alexandrenicolas.net/post/phd-mobility-heatwaves
Past jobs
Postdoctoral position in inequalities in epidemic processes
This postdoctoral project focuses on developing a new generation of behavior-informed epidemic models that explores the connection between the outset and outcome inequalities observed in epidemic processes.
Postodoctoral research position in coupled behavior-disease modelling
We are seeking a postdoctoral researcher with expertise in stratified transmission models for infectious diseases. This work is part of the PREVIX project (Pandemic preparedness to Respiratory Virus X - integrative modelling from first cases to early public health countermeasures)
Postodoctoral research position on network epidemiology of healthcare-associated infections
We are seeking a postdoctoral researcher with expertise in network epidemiology to study the spread of healthcare-associated infections in France
Funded internship: "Introducing confirmation and in-group bias in opinion dynamics models"
This internship is part of the ANR project From individual cognitive biases to collective drifts on on-line social networks, (COBCOD) devoted to understand how cognitive biases are amplified and potentially altered through repeated online interactions.
PENSO: Understanding how Large Language Models influence or bias human psychology
Large Language Models are influencing human psychology in ways we do not understand yet. Join this FIS project, funded for 1.3 million EUR by the Italian Ministry of Research, to investigate LLMs’ bias and its transfer to human mental well-being with complex networks.
PhD Opportunity: Financial Implications of Uncertainty in Cascading Climate Shocks.
All available details can be found here: https://unrisk-cdt.ac.uk/.