CxAnnouncements

The Department of Systems Science and Industrial Engineering (SSIE) at Binghamton University's Thomas J. Watson College of Engineering and Applied Science is expanding further and seeks eight (8) tenure-track faculty:

Assistant Professor in Energy Systems (1 position)
Assistant Professor in Health Systems (1 position)
Assistant Professor in Systems Science (1 position)
Associate Professor of Nanofabrication (1 position)
Associate or Full Professor in Energy Storage (1 position)
Associate or Full Professor in Energy Systems and Policy (1 position)
Associate or Full Professor in Flexible, Additive and Hybrid Electronic Systems (1 position)
Associate or Full Professor in Systems Engineering in Electronics and Semiconductor Manufacturing (1 position)
In addition, the greater Watson College of Engineering and Applied Science also has openings for the following roles, which could also have close association with SSIE depending on candidate background:

AI/ML SUNY Empire Innovation Professor (1 position)

Read the full article at: www.binghamton.edu

Our research, at the edge of statistical physics, applied mathematics and computer science, relies on theoretical and computational network science to cover a wide spectrum of interests, with applications to social and socio-technical systems, computational epidemiology, smart urban systems, systems biology, systems neuroscience, systems medicine.

More at: manliodedomenico.com

Dr. Sadamori Kojaku invites applicants for graduate research assistant starting in Spring 2024 in System Sciences and Industrial Engineering at Binghamton University. We are seeking highly motivated students to explore the following topics:
● Representation learning for text and graphs
● Complex Systems and Network Science
● Biases in AIs
● Computational social sciences and the science of science.

More at: skojaku.github.io

The Informatics Institute of the University of Amsterdam is looking for an internationally visible and recognized researcher in Complex Adaptive Systems. The emphasis should be on novel computational methods to study the spatio-temporal evolution of emergent properties in a variety of interdisciplinary application domains.

The research will be driven by deep insights in (the theory of) Complex Adaptive Systems and novel computational methods to simulate the dynamics and emergent properties of such complex systems. Research that addresses computational challenges may include methods for simulating, calibrating, and validating large scale models of complex systems. The research will have a strong application pull, for instance in the realms of socio-economic systems or health and health care. Candidates that address interdisciplinary application domains and whose research contributes to the UN Sustainable Development Goals, will be preferred.

The informatics institute pursues research in five main themes: (1) Artificial Intelligence, (2) Computational Science, (3) Data Science, (4) People, Society, Technology, and (5) Systems and Security, embedded in 15 research groups. The professor will be positioned within the Computational Science Lab of the Institute for Informatics. The Computational Science Lab currently has two other full professors, one professor by special appointment, two associate professors, seven assistant professors, and one lecturer. It is expected that the candidate will proactively collaborate with colleagues in the lab and play a central role in mentoring junior staff, PhD candidates and postdocs.

Details at: vacatures.uva.nl

October 9 – 20, 2023

SFI Complexity Interactive (SFI-CI) combines the dynamic interactions of an in-person course with the flexibility to learn from anywhere in the world. This two-week, part-time, online course offers participants a theory- and applications-based overview of complexity science. Complexity Interactive provides a foundation for thinking broadly about complex systems, encouraging participants to explore syntheses across systems in an open dialog with SFI faculty. The program's size is limited to ensure everyone has ample opportunity to discuss with faculty and with each other.

In 2023, the curriculum will investigate modeling humans and social behavior, focusing on methods and approaches from complex systems science.

More at: www.santafe.edu

The Complex Systems Society announces the ninth edition of the CSS Scientific Awards.
The Emerging Researcher Award recognizes promising researchers in Complex Systems within 3 years of the PhD defense.
The Junior Scientific Award is aimed at recognizing excellent scientific record of young researchers within 10 years of the PhD defense.
The Senior Scientific Award will recognize outstanding contributions of Complex Systems scholars at whatever stage of their careers.
Deadline: May 31st, 2023.

More at: cssociety.org

FBK-CHuB is seeking a Researcher in the field of the classification, analysis and modelling of online disinformation spreading behaviour.
In particular, the candidate will be involved in a large European research project focused on the development of a platform tackling misinformation and disinformation across the EU by empowering scientific researchers and media practitioners with advanced AI-based technologies that: 1) allow multichannel (distinct online social media and news feeds), multilingual and multimodal (textual, visual and audio content) monitoring, detection and recording of misinformation and disinformation on online social media and traditional media; 2) estimate the risk of unreliable information consumption; 3) create a trustworthy online environment involving researchers, media practitioners and policy makers to facilitate the creation and distribution of reliable information and counter-narratives, while labelling and countering mis/disinformation.

Read the full article at: jobs.fbk.eu

Guest Editors: Thiago B. Murari, Marcelo A. Moret, Hernane B. de B. Pereira, Tarcísio M. Rocha Filho, José F. F. Mendes and Tiziana Di Matteo

Submissions are invited for a Topical Issue of EPJ B on Advances in Complex Systems.

In general, a complex system is a system composed of many components that may interact with each other in nonlinear ways. Examples of complex systems include fractals, chaos, nonlinear dynamics, self-organized criticality, and complex networks. This issue aims to promote research in complex systems, both in pure and applied contexts.

The goal of this topical issue is to summarize the most recent research, covering aspects such as:

Foundations of Complex Systems, Basic Sciences, and Quantum Complexity
Complex Networks
Data Science, Machine Learning, and Artificial Intelligence in the context of Complex Systems
Computation and Information Processing in Complex Systems
Economics and Finance
Social Systems
Ecological Systems
Cognition, Psychology, and Neurosciences
Complexity in Biology and Health Sciences
City Science, Mobility, and Transport
Energy, Environment, Sustainability, Climate, and Global Change

Read the full call at: epjb.epj.org

The Department of Physics and Astronomy at the University of California, Davis, is conducting a search for an Assistant Professor in the physics of complex systems. Complex systems is a highly interdisciplinary academic field using statistical mechanics, nonlinear dynamics, and applied mathematics to elucidate the organization and function of complex systems across a wide range of physical and applied disciplines, including: many-body physics, physics of information, computational physics, network science, machine learning, complex biological systems, nonequilibrium behavior, and complex earth systems.

The application deadline is November 27, 2023.

More at: recruit.ucdavis.edu

The Thomas J. Watson College of Engineering and Applied Science at Binghamton University invites applications for 2 open faculty positions at the Full or Associate professor levels, with a planned start date of Jan 2024 or Fall 2024. Outstanding candidates at the Assistant Professor level may also be considered.

We invite prominent researchers in the interdisciplinary fields of artificial intelligence (AI), machine learning (ML), data science and their applications to complex societal problems. We seek, specifically, candidates who conduct and lead research in the design, development and implementation of advanced AI/ML and data theoretic approaches in socially relevant application domains including healthcare and public health, health disparities and equity, agriculture and food security, pandemic and natural disaster prevention and preparedness and energy and environment sustainability. Candidates should possess deep scientific and technical knowledge in the use of AI and Data Science to solve wicked problems and have proven experience in the application of these methodologies in one or more of the domains above. Ideal candidates will possess the fundamental expertise and the interest to apply and or translate their applied knowledge to different domains of critical importance. Expertise in AI ethics and policy are especially valued as is social systems intelligence and human centric AI.

More at: binghamton.interviewexchange.com

The Department of Systems Science and Industrial Engineering (SSIE) in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for two faculty members, at the tenure-track Assistant Professor level, starting in Fall 2023. The positions involve teaching at all levels from undergraduate courses to advanced graduate courses, and establishing theoretical and applied research in emerging areas in systems science.

All positions immediately above are sought to start in Fall 2023 and require advanced expertise in their fields per the description below. Qualified applicants in other emerging areas of the systems science discipline may be considered.

The Assistant Professor - Systems Science/Complex Systems/Network Science position will pursue newer topics such as Complex Systems, Network Science, Network Design, or other emerging topics in the broader discipline of Systems Science. Candidates with experience in the broad area of computational intelligence are preferred.

The Assistant Professor - Computational Social Science/Biomedical Complexity/Epidemiology position is also highly computational. In particular, complex systems science has been particularly successful in building actionable models in social, organizational, and biomedical complexity, which leverage ML/AI/Statistical Inference but add explainability to the management of complex problems. It is expected that candidates applying for this role will pursue much broader applications including, but not limited to, Social Science/Networks, Organizational Science/Networks and Design, Biology, Medicine, and Mental/Public Health Modeling.

More at: binghamton.interviewexchange.com

Employer: Rényi Institute of Mathematics

Place: Budapest, Hungary

Research theme: epidemic modeling, network science, graph theory, geometric networks, metapopulation models

Scientific directors: Dr. Márton Karsai (karsai.marton@gmail.com ) & Prof. Dr. László Lovász (laszlo.lovasz@ttk.elte.hu )


Network Epidemics Group @ Rényi Insitute

The Network Epidemics Group at the Rényi Institute works on the mathematical, computational, and data-driven modelling of dynamical epidemiological processes on graphs and networks. On one hand, the group plays special focus on the mathematical foundation of geometric network effects on evolving spreading processes, and on the other hand, on the data-driven simulations of epidemic processes to observe and understand real-world spreading phenomena. The group is led by Dr. Márton Karsai and Pr. László Lovász and functions as a member of the Health Security National Laboratory in Hungary.

Mission

It is a fundamental question in disease modeling how the structure and dynamics of social interactions and mobility mixing patterns influence an ongoing epidemic. These behavioral patterns can be effectively represented as networks, that provide effective tools for the mathematical and computational modelling of epidemic phenomena. They contribute to a better approximation that incorporates non-homogeneous mixing patterns within and between populations, which can build up into meta-population networks to describe how epidemics spread in countries or even around the globe.

The geometric structure and spatial organization of interaction and mobility networks play special roles in the emergence of a rich but largely unexplored set of spreading phenomena. One of these phenomena is the commonly observed spatial clustering of infection cases during the sub-sequent waves of the actual COVID-19 pandemic. While these phenomena can be related to the inhomogeneous spatial distribution of susceptible populations, local patterns of herd immunity or the different seeding scenarios of an actual wave, their emergence is substantially depending on the geometric nature of the underlying social and mobility networks.

In this project we aim to tackle this problem from two different directions:

Computational modelling of epidemic processes on geometric networks: to develop a spatially embedded meta-population framework, relying on data from Hungary, that is capable to reproduce rich class of spatially clustered patterns of infected cases in the country.
Mathematical modelling: to develop the mathematical foundation of these observed phenomena by identifying the fundamental graph properties of the underlying network structures that can induce the observed geometric patterns of infection clustering.

Read the full article at: renyi.hu

Frontiers in Complex Systems publishes rigorously peer-reviewed quantitative research on Complex Systems, either theoretical, experimental, mathematical, computational or data description. Field Chief Editor Maxi San Miguel at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) in Spain is supported by an outstanding Editorial Board of international experts. This open-access journal is to become the reference and natural publication outlet for the Complex Systems community at large, and to be at the forefront of disseminating and communicating scientific knowledge and technological innovation in the field to researchers, academics, entrepreneurs, companies, policy makers and the public worldwide.

Frontiers in Complex Systems covers fundamental questions, theories and general methodologies on complex systems as well as the cross-disciplinary application of these concepts and methods, often giving rise to new disciplines. It provides a forum for cross-disciplinary communication and welcomes quantitative research from different fields including Physics, Mathematics, Computer Sciences, Artificial Intelligence, Engineering, Climate change, Economics and Finance, Social Sciences, Linguistics, Ecology, Neuroscience, Health Sciences, Epidemics, Mobility and Transport, City Science, etc. Submissions to Frontiers in Complex Systems are made to appropriate specialty sections, each of which devoted to a specific sub-field and having their own expert editorial board. Aligned with the cross-disciplinary scope of the journal, some of these sections are shared with other Frontiers journals, providing an enhanced visibility of the research in different scientific communities.

More at: www.frontiersin.org