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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 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[…]
Developing artificial populations for digital twins and ABMs
UNU-Macau is looking for researchers with background in computer science, data science, computer-based modelling, computational social science, digital humanities or a related field, and focus on research areas related to data science and their use applied to topics already addressed by the Institute: cyber-security, health, artificial intelligence, etc., are highly welcome.
Seeking a Postdoctoral Researcher, specializing on climate and environmental data science, to support development of innovative and high-quality analytical solutions to help understand climate impacts, crop and location-specific risks and adaptation options, and inform relevant investments in sustainable agriculture and climate adaptation.
We are looking for a postdoctoral researcher to lead a participatory modelling study that analyses the vulnerability of Spanish rural communities to the compounded effects of climate change, depopulation and agricultural trade, and explores the feasibility and effectiveness of vulnerability mitigation policies.
Deadline: 31th of January
This postdoc will help design, develop and apply an Agent Based Model simulating the effects of stressors on least bells vireos (an endangered bird species found in southern California). A project overview can be found here (https://serdp-estcp.org/projects/details/89fdcf5b-0c44-41f9-af97-fd1d45908863/rc22-3216-project-overview) and this video (https://www.youtube.com/watch?v=c0DQPcSk-Qg) provides a 1/2 hour project summary. Questions can be directed to Dr. Pat Zollner using pzollner@purdue.edu.
Displaying 10 of 286 results modelling clear search