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Arizona State University’s School of Complex Adaptive Systems has an opening for a social or ecological scientist, with expertise in scientific modeling, to work with an interdisciplinary team to design, develop, refine, and apply cyberinfrastructure that supports computational models of the complex interactions and dynamics in social-ecological systems.
The Argelander professorship Integrated System Modeling for Sustainability Transitions at the Rheinische-Friedrich-Wilhelms-University Bonn, Germany, is inviting applications for a Position as a Doctoral researcher. The full list of tasks, profile, and what the position offers can be seen here – https://wbarfuss.github.io/join/
This person will help design, develop, communicate and apply bird sub-models of an Agent Based Model to simulate effects of interacting stressors on least bells vireos (an endangered bird species found in southern California). This video (https://www.youtube.com/watch?v=c0DQPcSk-Qg) provides a 1/2 hour project summary. Ideal candidates will be familiar with ABM and have strong scientific writing skills. Questions can be directed to Dr. Pat Zollner.
The Department of Management Science at the University of Strathclyde is hiring for a lecturer position (Assistant professor).
The lecturer search is across all the Department’s research themes, with one of the five main areas of interest being complex systems simulation.
The Department conducts research on improving simulation methods rigour, including agent-based modelling, system dynamics, discrete-event simulation, and hybrid models. It also teaches the three simulation methods.
The BarfussLab seeks a motivated and talented doctoral researcher to join our team in modeling human-environment systems. The position is for three years with the possibility of extension. The successful candidate will work on developing, implementing, and analyzing mathematical models of human-environment interactions at the intersection of complex systems science, multi-agent reinforcement learning, and social-ecological resilience.
Disruptions, events, incidents, and closures are daily characteristics of urban transport systems. Yet, our understanding of how people change their travel behaviours in each situation is limited. Improving our understanding of behaviour under different scenarios, and development of a robust model of behaviour, would be beneficial to transport authorities seeking to promote behaviour change to improve services.
This project will undertake analyses of changes in travel behaviour following […]
The médialab at Sciences Po is hiring a Postdoctoral Researcher to work on mathematical modeling of political opinions, interactions in online social platforms, and algorithmic recommendations.
The offered position is part of the AI-Political Machines project, funded by the McCourt Institute, a research center established at Sciences Po in Paris and Georgetown University in Washington DC, devoted to conducting research tackling the challenges of the Internet, Artificial Intelligence, and th[…]
The TerraNeon project (PI : Jean-Daniel Kant) proposes to build an innovative decision-making tool aimed at reducing the impact of human activities on climate and biodiversity by adopting a highly systemic and multi-agent approach. TerraNeon is supported by CNRS Innovation, and Sorbonne University.
TerraNeon includes TerraSim, an agent-based simulator (composed of interacting software agents) to model and simulate: human activities (individual and social), economic activities (i[…]
The Jheronimus Academy of Data Science (JADS) is the joint Data Science Academy of Tilburg University and Eindhoven University of Technology, the Netherlands. JADS is seeking an enthusiastic colleague for the position of PhD researcher in Social support for the real-world introduction of AI in critical infrastructure, as part of the ILUSTRE project that focusses on use-cases in the Caribbean region.
You will work on a project, funded by the European Research Council, called Data Assimilation for Agent-Based Models (DUST). The project is developing agent-based computer simulations that can be used to model social phenomena – such as disease spread, traffic congestion, or crowding in busy public places – in real-time, with the aim of providing valuable, up-to-date information to decision makers. Agent-based modelling is an ideal methodology for this type of simulation but has rarely been[…]
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