Complex Systems Studies
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What's up in Complexity Science?!
Check out here:

@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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Thinking about a PhD in CS? Come to our summer school at MPI to learn about different research areas. A week long trip to the heart of Europe + covered expenses👌

Applications from underrepresented groups in CS are highly encouraged!! Apply by Feb 28 https://cmmrs.mpi-sws.org
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I am recruiting a student researcher to work with Matthew Jagielski and I at at Google on the topic of privacy in ML (we are expecting a focus on privacy attacks). If you are a PhD student interested in this opportunity, reach out by email with a CV & relevant publications.

https://www.papernot.fr/
Open #postdoc position on epidemic modelling on geometric networks in the Network Epidemic Group at the Rényi Institute in Budapest

https://renyi.hu/hu/intezeti-bemutatkozas-hu/allaslehetosegek/open-positions-in-network-epidemics-group
اگهی جذب پژوهشگر فوق دکتری تمام وقت

از فارغ التحصیلان دکتری علوم اعصاب، هوش مصنوعی، کامپیوتر، فیزیک و مهندسی پزشکی که علاقمند به همکاری با گروه علوم و فن اوریهای مغز زیر نظر دکتر حسین استکی هستند دعوت
میشود رزومه علمی خود را به ادرس ایمیل ذیل ارسال نمایند
cognitive.esteky@gmail.com
Fully funded #PhD position to study social/occupational mobility using statistical social network methods at the University of Zurich.

https://jobs.uzh.ch/offene-stellen/1-phd-candidate-studying-social-occupational-mobility-using-social-network-methods/15d5de03-b739-4774-bcdd-ecc30109e6db
41st Finnish Summer School on Probability and Statistics in Lammi, Finland 22-26.5.2023

https://fdnss.fi/41st-finnish-summer-school-on-probability-and-statistics/

Minicourses:

Beatrice Acciaio (ETH Zurich) Stochastic optimal transport and applications in mathematical finance
Persi Diaconis (Stanford) The Markov Chain Monte Carlo Revolution : Recent Progress
Yuliya Mishura (Taras Shevchenko National University of Kyiv): Standard and fractional stochastic differential equations of CIR and CKLS type: properties of solutions, reflection and statistical inference

Distinguished guest lecture by Susan Holmes (Stanford): Statistics and Geometry for Biological Systems
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Open call for a fully-funded #PhD position at the Kavli Institute for Systems Neuroscience in a multidisciplinary team led by Tobias Navarro Schroeder and myself. Join us to study fundamental mechanisms of #memory through the prism of #TransientGlobalAmnesia using advanced #7Tesla (f)MRI.

🗓 Apply by March 31 https://lnkd.in/dyWHvje4
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The #PhD Program in Neuroscience of AMU #NeuroSchool_mrs offers 3 PhD scholarships to students who have validated a outside of France

https://t.co/q7jnDpu7de

I propose a PhD project on "Higher-order interactions in human brain networks supporting causal learning"
Two new #PHD calls! Deadline April 1st.

Topics: Science of Science / Algorithmic fairness, and Predictability of Social Systems
https://nerds.itu.dk/2023/03/08/two-new-phd-calls-application-deadline-april-1st/
There are #PhD and #PostDoc positions available in my group. If you are interested, please get in contact.

https://michaelschaub.github.io/

Michael Schaub - RWTH Aachen University
Computational Network Science
Dynamical Foundations of Many-Body Quantum Chaos
March 13, 2023 to April 14, 2023
Institut Pascal

https://indico.ijclab.in2p3.fr/event/8880/

Chaotic dynamics poses rather vexing conundrums for quantum mechanics, as was already presciently noted by Einstein in 1917. The first actual description of a quantum chaotic system may well have been Bohr's compound nucleus in 1936. However, Quantum Chaos really came into being with Wigner's introduction of random matrix theory (RMT), aimed at understanding physics related to nuclear reactor design. RMT, with its focus on statistical properties of the system's Hamiltonian, represented a major paradigm shift. Quantized chaotic systems were recognized to behave in many universal ways, completely independently of their detailed description. Since its origin, RMT has seen applications in an extraordinarily broad range of fields, well beyond the boundaries of physics.

However, this origin of quantum chaos in the context of strongly interacting nuclear many-body (MB) systems did not straightforwardly lend itself to a concrete association with classically chaotic dynamics. After a considerable period focusing on single-particle systems, the field is now returning to strongly interacting MB systems. The past decade has witnessed an accelerating resurgence of “many-body quantum chaos”, which has seeped into a vast array of forefront physics research.
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If you are interested in joining the SISSA Cognitive Neuroscience #PhD program, please contact any of the professors listed on the faculty members page for further discussion about our research and admission process.

The program will accept new students through two rounds of admission:
- Spring deadline: 31 March 2023.
- Fall deadline: 31 August 2023.

https://phdcns.sissa.it/admission-procedure