Complex Systems Studies
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#PostDoc Positions in Active Matter and Statistical Physics the Department of Living Matter Physics (LMP) at the Max Planck Institute for Dynamics and Self-Organization (MPI-DS). LMP/MPI-DS is a vibrant and dynamic research environment for the application of ideas from theoretical physics to the understanding of living systems, by using the full range of analytical and computational methods.

https://www.ds.mpg.de/4133369/job_full_offer_26889399
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#Postdoc Fellow in Computational Mathematics

We are seeking a highly motivated postdoctoral researcher to improve and analyse time-stepping schemes for simulations of glacial ice dynamics. The motivation is the need for more reliable predictions of how ice sheets and glaciers respond to climate change. The project builds on a stabilization method that allows much larger time-steps than previously possible. Thanks to the stabilization, step length is now limited by accuracy rather than numerical stability, but there is still little rigorous understanding of how accuracy depends on time-step size, which varies substantially over the course of a simulation. The project's aim is twofold: to deepen the theoretical understanding of the stabilized scheme, and to translate this understanding into a practical, adaptive algorithm that automatically selects the largest time-step preserving the desired accuracy. The successful candidate will have the opportunity to shape the research direction and contribute both methodologically and computationally.

https://su.varbi.com/en/what:job/jobID:963246/type:job/where:4/apply:1
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📣 Applications now open: MAXMINDS mentoring program

MAXMINDS 2.0 is a mentoring program for researchers in acute danger of displacement or recently displaced by war or natural disasters who face limited access to research resources and institutional support.

The program offers one-on-one mentoring with a current or former researcher from one of the Max Planck Institutes, tailored to the needs and research interests of the mentees. Mentors can offer support with finding and applying for positions, scholarships, fellowships and research stays, strengthening CVs and proposals, building academic connections and staying scientifically active.

📅 Apply by October 18: https://www.maxminds.mpg.de/3630/apply

Please share this initiative with anyone you know who could benefit. For any further information, contact the MAXMINDS team at maxminds@mpib-berlin.mpg.de

#MaxPlanck #ScholarsAtRisk #Mentoring #AcademicFreedom #ResearchersAtRisk
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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
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.