Fwd: Associate Professor Posts (Maître de conférences) University Grenoble Alps, France. Agent-based Social Simulation
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Benoit Gaudou
Feb 13, 2026, 11:39:54 AM (9 days ago) Feb 13
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De : Julie Dugdale <Julie....@imag.fr>
Date: ven. 13 févr. 2026 à 16:58
Subject: Associate Professor Posts (Maître de conférences) University Grenoble Alps, France. Agent-based Social Simulation
To: <s...@loria.fr>
De : Julie Dugdale <Julie....@imag.fr>
Date: ven. 13 févr. 2026 à 16:58
Subject: Associate Professor Posts (Maître de conférences) University Grenoble Alps, France. Agent-based Social Simulation
To: <s...@loria.fr>
Dear All,
We have two posts for an Associate Professor (Maître de conférences) coming up that concern my Research Team (SocSIM-K Social Simulation and Knowledge). https://www.liglab.fr/en/research/research-teams/socsim-k-social-simulation-and-knowledge
The posts will be published officially at the start of March, for a start in September 2026.
If you work in the area of Agent-based Social Simulation and are interested in a permanent teaching/research post at University Grenoble Alps, France, please contact me: Julie....@imag.fr
Also, if you know of anyone who may be interested please feel free to forward this post.
All the best,
Julie Dugdale
----------------------------------------
About the SocSIM-K Team:
In an increasingly complex and interconnected world, understanding and predicting human behaviour in response to large-scale societal challenges—such as climate change, public health crises, and natural disasters—remains a critical yet underdeveloped area of research. Current models often fail to adequately capture the dynamic interplay between individual decision-making, social processes, and environmental conditions. There is a pressing need for interdisciplinary approaches that combine social and cognitive science insights with agent-based computational modelling and simulation, and formal knowledge representation. A major contributing factor to this gap is the limited integration of robust knowledge representation frameworks within behavioural and system-level models. Without structured methods to represent, reason with, and update this knowledge, models lack the depth needed to reflect how people and systems actually respond under stress, uncertainty, or crisis.
SocSim-K addresses this challenge by developing sophisticated models of human behaviour using an agent-based approach, and with knowledge systems that are both scientifically rigorous and socially impactful.
SocSim-K is concerned with modelling and simulating of complex human behaviours, and the structured representation of knowledge with the goal of generating insights that are both theoretically robust and practically impactful.
We focus on developing and applying innovative, state of the art conceptual and computational models that address some of the most pressing societal challenges of our time. These include the multifaceted consequences of climate change—such as the increased frequency and severity of wildfires, flash floods, and other extreme weather events—as well as the dynamics of epidemics and their broader social and economic ramifications.
Our approach is inherently interdisciplinary. We collaborate closely with experts across the social sciences, earth sciences, and public health, integrating diverse perspectives and domain knowledge. Furthermore, we maintain strong engagement with a wide range of stakeholders, including municipalities, local councils, emergency services, public health agencies, and policy-makers. This ensures that our models are grounded in real-world contexts and designed to support actionable outcomes.
SocSim-K also benefits from a broad and well-established network of national and international collaborators. These partnerships enhance our research capabilities and facilitate the exchange of ideas, data, and best practices across borders and disciplines.
Research themes (keywords):
Agent based social simulation, human behaviour modelling, cognitive modelling (including emotions, cognitive biases, social norms, and social attachment), multi-agent systems, serious games, knowledge representation, ontologies, semantic web, linked data.
Application areas:
Crisis and emergency management, Cultural heritage, Pedestrian mobility in cities, Effect of environmental factors (pollution, energy, land management, climate) on cities, migrant trajectories.
We have two posts for an Associate Professor (Maître de conférences) coming up that concern my Research Team (SocSIM-K Social Simulation and Knowledge). https://www.liglab.fr/en/research/research-teams/socsim-k-social-simulation-and-knowledge
The posts will be published officially at the start of March, for a start in September 2026.
If you work in the area of Agent-based Social Simulation and are interested in a permanent teaching/research post at University Grenoble Alps, France, please contact me: Julie....@imag.fr
Also, if you know of anyone who may be interested please feel free to forward this post.
All the best,
Julie Dugdale
----------------------------------------
About the SocSIM-K Team:
In an increasingly complex and interconnected world, understanding and predicting human behaviour in response to large-scale societal challenges—such as climate change, public health crises, and natural disasters—remains a critical yet underdeveloped area of research. Current models often fail to adequately capture the dynamic interplay between individual decision-making, social processes, and environmental conditions. There is a pressing need for interdisciplinary approaches that combine social and cognitive science insights with agent-based computational modelling and simulation, and formal knowledge representation. A major contributing factor to this gap is the limited integration of robust knowledge representation frameworks within behavioural and system-level models. Without structured methods to represent, reason with, and update this knowledge, models lack the depth needed to reflect how people and systems actually respond under stress, uncertainty, or crisis.
SocSim-K addresses this challenge by developing sophisticated models of human behaviour using an agent-based approach, and with knowledge systems that are both scientifically rigorous and socially impactful.
SocSim-K is concerned with modelling and simulating of complex human behaviours, and the structured representation of knowledge with the goal of generating insights that are both theoretically robust and practically impactful.
We focus on developing and applying innovative, state of the art conceptual and computational models that address some of the most pressing societal challenges of our time. These include the multifaceted consequences of climate change—such as the increased frequency and severity of wildfires, flash floods, and other extreme weather events—as well as the dynamics of epidemics and their broader social and economic ramifications.
Our approach is inherently interdisciplinary. We collaborate closely with experts across the social sciences, earth sciences, and public health, integrating diverse perspectives and domain knowledge. Furthermore, we maintain strong engagement with a wide range of stakeholders, including municipalities, local councils, emergency services, public health agencies, and policy-makers. This ensures that our models are grounded in real-world contexts and designed to support actionable outcomes.
SocSim-K also benefits from a broad and well-established network of national and international collaborators. These partnerships enhance our research capabilities and facilitate the exchange of ideas, data, and best practices across borders and disciplines.
Research themes (keywords):
Agent based social simulation, human behaviour modelling, cognitive modelling (including emotions, cognitive biases, social norms, and social attachment), multi-agent systems, serious games, knowledge representation, ontologies, semantic web, linked data.
Application areas:
Crisis and emergency management, Cultural heritage, Pedestrian mobility in cities, Effect of environmental factors (pollution, energy, land management, climate) on cities, migrant trajectories.
-- Professor Julie Dugdale, University Grenoble Alps, France Grenoble Informatics Laboratory https://lig-membres.imag.fr/dugdale/
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