Sverker Lerheden fellowships for #postdoc studies with the purpose of strengthening research at the Department of Mathematics at Stockholm University
https://www.su.se/english/divisions/department-of-mathematics/news/articles/2026-10-01-sverker-lerheden-fellowships-for-postdoctoral-studies
https://www.su.se/english/divisions/department-of-mathematics/news/articles/2026-10-01-sverker-lerheden-fellowships-for-postdoctoral-studies
Social Physics: A manifesto
https://arxiv.org/abs/2610.08117
Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neither the claim that society is literally a physical system nor an attempt to replace the social sciences with physics. It is an interdisciplinary practice: observation and experimentation, model construction, mathematical and computational analysis, and repeated confrontation with data. The field has been transformed by analyzing digital traces, network science, agent-based modeling, large-scale experiments, and the capacity to study coupled dynamics across economic, social, technological, biological, and physical layers. We review advances in financial analysis and modeling; economic complexity; the structure and evolution of social networks; spreading, opinion, and information dynamics; inequality, cooperation, conflict, mobility, cities, culture, science, and collective behavior; and the emerging study of human-AI ecosystems. Across these domains, common features recur - heterogeneity, interaction, feedback, adaptation, non-equilibrium dynamics, multiscale organization, and emergent collective outcomes. We also confront the limitations that have arisen in this field: convenience samples, platform dependence, weak causal identification, over-universal claims, insufficient engagement with meaning and institutions, privacy risks, and the danger that predictive models become instruments of manipulation. We propose a future Social Physics organized around theory - data reciprocity; causal and generative explanation; measurement validity and cross-context generalization; responsible, participatory data governance; genuinely interdisciplinary collaboration; and reflexive study of interventions and algorithms that alter the systems being observed.
https://arxiv.org/abs/2610.08117
Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neither the claim that society is literally a physical system nor an attempt to replace the social sciences with physics. It is an interdisciplinary practice: observation and experimentation, model construction, mathematical and computational analysis, and repeated confrontation with data. The field has been transformed by analyzing digital traces, network science, agent-based modeling, large-scale experiments, and the capacity to study coupled dynamics across economic, social, technological, biological, and physical layers. We review advances in financial analysis and modeling; economic complexity; the structure and evolution of social networks; spreading, opinion, and information dynamics; inequality, cooperation, conflict, mobility, cities, culture, science, and collective behavior; and the emerging study of human-AI ecosystems. Across these domains, common features recur - heterogeneity, interaction, feedback, adaptation, non-equilibrium dynamics, multiscale organization, and emergent collective outcomes. We also confront the limitations that have arisen in this field: convenience samples, platform dependence, weak causal identification, over-universal claims, insufficient engagement with meaning and institutions, privacy risks, and the danger that predictive models become instruments of manipulation. We propose a future Social Physics organized around theory - data reciprocity; causal and generative explanation; measurement validity and cross-context generalization; responsible, participatory data governance; genuinely interdisciplinary collaboration; and reflexive study of interventions and algorithms that alter the systems being observed.
arXiv.org
Social Physics: A manifesto
Social Physics seeks quantitative, empirically testable explanations of collective human behavior. Its name has a long and contested history, but its contemporary program is neither the claim that...
#Postdoc Research Associate - Center for Complex Network Research, lab of Albert-László Barabási
https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Postdoctoral-Research-Associate---Center-for-Complex-Network-Research_R129656
https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Postdoctoral-Research-Associate---Center-for-Complex-Network-Research_R129656
Myworkdayjobs
Postdoctoral Research Associate - Center for Complex Network Research
About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine learning/AI, and science of science, as well as quantifying art.…
Philosophy and the practice of Bayesian statistics
Andrew Gelman, Cosma Rohilla Shalizi
https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/j.2044-8317.2011.02037.x
Andrew Gelman, Cosma Rohilla Shalizi
https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/j.2044-8317.2011.02037.x
Positions in the Kavli Institute’s Aging Neuroscience Group
#phd: https://www.jobbnorge.no/en/available-jobs/job/308927/phd-in-the-kavli-institutes-aging-neuroscience-group
#postdoc: https://www.jobbnorge.no/en/available-jobs/job/308852/postdoctoral-fellow-in-the-kavli-institutes-aging-neuroscience-group
#phd: https://www.jobbnorge.no/en/available-jobs/job/308927/phd-in-the-kavli-institutes-aging-neuroscience-group
#postdoc: https://www.jobbnorge.no/en/available-jobs/job/308852/postdoctoral-fellow-in-the-kavli-institutes-aging-neuroscience-group
Jobbnorge.no
PhD in the Kavli Institute’s Aging Neuroscience Group (308927) | NTNU - Norwegian University of Science and Technology
Job title: PhD in the Kavli Institute’s Aging Neuroscience Group (308927), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Saturday, November 7, 2026
#PhD Position Open in Complex Networks at Leiden University, the Netherlands!
https://careers.universiteitleiden.nl/job/Leiden-PhD-Candidate-in-Complex-Networks/16991-en_US/
https://careers.universiteitleiden.nl/job/Leiden-PhD-Candidate-in-Complex-Networks/16991-en_US/
#internship
📣 Apply now for a CaCTüS Summer Internship 2027 in Germany!
🌵The Computation and Cognition Tübingen Summer Internship is a fully funded 3-months internship at the Max Planck Institute for Biological Cybernetics, our MPI-IS and the Tübingen AI Center located in Tübingen, Germany.
🧠 Interns work on research projects spanning machine learning, theoretical neuroscience, computational psychiatry, behavioral experiments and data analysis.
🎓 Who can apply? Bachelor’s and master’s students in the fields of computer science, robotics, maths, physics, engineering, neuroscience, psychology, cognitive science, bioinformatics and any other related fields.
🌍 CaCTüS aims to boost the careers of talented students who experience significant difficulties in their pursuit of higher education. Applications from low- and middle-income countries are specifically encouraged.
🔗 Learn more and apply: https://www.projects.tuebingen.mpg.de/
📣 Apply now for a CaCTüS Summer Internship 2027 in Germany!
🌵The Computation and Cognition Tübingen Summer Internship is a fully funded 3-months internship at the Max Planck Institute for Biological Cybernetics, our MPI-IS and the Tübingen AI Center located in Tübingen, Germany.
🧠 Interns work on research projects spanning machine learning, theoretical neuroscience, computational psychiatry, behavioral experiments and data analysis.
🎓 Who can apply? Bachelor’s and master’s students in the fields of computer science, robotics, maths, physics, engineering, neuroscience, psychology, cognitive science, bioinformatics and any other related fields.
🌍 CaCTüS aims to boost the careers of talented students who experience significant difficulties in their pursuit of higher education. Applications from low- and middle-income countries are specifically encouraged.
🔗 Learn more and apply: https://www.projects.tuebingen.mpg.de/
Linkedin
Max Planck Institute for Biological Cybernetics | LinkedIn
Max Planck Institute for Biological Cybernetics | 16,898 followers on LinkedIn. The Max Planck Institute for Biological Cybernetics in Tübingen is active in theoretical and experimental neuroscientific basic research.
With the use of computer simulations…
With the use of computer simulations…