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Eduardo Altmann

@EduardoAltmann.aus.social.ap.brid.gy
20 followers 0 following 21 posts

Dynamics and Complex Systems. Professor at The University of Sydney, School of Maths and Stats. [bridged from aus.social/@EduardoAltmann on the fediverse by fed.brid.gy ]

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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 02/09/2026
I'm on strike today to defend the teaching- research connection, reasonable use of AI, and better pay. Sydney uni staff can join the union and the strike via nsw.nteu.au/sydney/onstrike
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 14/08/2026
RE: aus.social/@EduardoAltmann/11596341… Our paper on fractals in r-tipping has been published today as Chaos 36, 083122 (2026) doi.org/10.1063/5.0324191 Many improvements over the pre-print, thanks to the very helpful comments by the editor and reviewers from Chaos.
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 02/07/2026
Physicists and AI model Claude 'collaborate' to prove a 10-year-old jamming conjecture phys.org/news/2026-06-physicists-ai…
phys.org
Physicists and AI model Claude 'collaborate' to prove a 10-year-old jamming conjecture
A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been resolved through an unusual collaboration: one involving two theoretical physicists and an artificial intelligence system. In a study published in the Journal of Statistical Mechanics: Theory and Experiment, Giorgio Parisi, Nobel Prize winner in physics, and Francesco Zamponi, physicist at LaSapienza University of Rome, show how the AI model Claude contributed to finding the proof of a mathematical relation that had resisted researchers' efforts for years.
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 26/06/2026
"Code evolution for link prediction in complex networks", pre-print w/ @AVlaskin We use an AlphaEvolve-like approach to test whether LLMs can discover better link-prediction methods. They can, even without showing great creativity. Repo: github.com/avlaskin/antevolve
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 05/06/2026
I support the Leiden Declaration on Artificial Intelligence and Mathematics. Read and sign the declaration: leidendeclaration.ai
leidendeclaration.ai
Leiden Declaration on Artificial Intelligence and Mathematics
This declaration calls for action to address the challenges posed by the use of artificial intelligence within mathematics research.
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 26/01/2026
"Fractals in rate-induced tipping", new pre-print with Jason Qianchuan Wang and Yi Zheng. We show how fractal saddles in the phase space of non-linear dynamical systems lead to fractals in the parameter space controlling rate-induced tipping points. arxiv.org/abs/2601.16373
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 14/01/2026
"Meso-scale structures in signed networks", new preprint with Wei Zhang, Olga Boichak, Tristram J Alexander, and Tiago P. Peixoto (@tiago) arxiv.org/abs/2512.11281
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 04/09/2025
"Inference of epidemic networks: the effect of different data types" , new pre-print with Oscar Fajardo and Carl Suster. We introduce a model+MCMC to sample transmission trees based on different types of data on sampled hosts. Paper […] [Original post on aus.social]
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 22/07/2025
For NSW residents, consider signing the e-petition "Extend Transport Concessions to Students in NSW" www.parliament.nsw.gov.au/la/Pages/…
parliament.nsw.gov.au
LEGISLATIVE ASSEMBLY - Signing ePetition - Extend Transport Concessions to All International and Part-Time Students in NSW
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 26/06/2025
Continuing position in Mathematical Optimisation here in our School in Sydney usyd.wd105.myworkdayjobs.com/en-GB/…
usyd.wd105.myworkdayjobs.com
Senior Lecturer / Associate Professor in Optimisation Theory
Full Time, continuing academic opportunity, located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class community of mathematicians and statisticians Offering Base Salary, Level C/D $150,461 - $199,585 p.a. + 17% superannuation About the opportunity Opportunity for an Senior Lecturer / Associate Professor in Optimisation Theory to join The School of Mathematics and Statistics at the University of Sydney, one of the largest mathematical sciences schools in Australia. The University of Sydney is the only Australian university to have received the highest rating of 5 out of 5 for research in the mathematical sciences in every Excellence in Research for Australia assessment to date. As the Senior Lecturer / Associate Professor in Optimisation Theory you will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build your research contribution, expertise and impact. You will also benefit from our supportive community of world-class mathematicians and statisticians. Your key responsibilities will be to: contribute to the development, implementation, and promotion of innovative mathematical education programs within the School of Mathematics and Statistics, collaborate effectively with academic and professional staff across the University of Sydney on both teaching and research initiatives, play a leading role in advancing the school’s research, education, and administrative activities, while building a strong reputation as a respected authority in the field of mathematical sciences. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Senior Lecturer / Associate Professor (Level C/D) who has a PhD or equivalent doctorate in Mathematics, Applied Mathematics, or a closely related field an outstanding track record of research publications in the area of Optimisation Theory evidence of success in securing competitive research grants evidence of ability, versatility and commitment to excellence in undergraduate and postgraduate teaching experience in supervising students across various academic levels a developing understanding of key strategic issues within the discipline and the broader higher education sector. Note: All applicants are kindly requested to mention the academic level they are applying for in their cover letter. Please be advised that there will be an on-campus panel interview held in October/November. Pre-employment checks Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the university. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the university may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion, and we strive to be a place where everyone can thrive. We are committed to creating a university community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply All applications must (include a cover letter, CV, and any additional supporting documentation) as per the details mentioned in the advert, can be submitted via the Apply button at the top of the page. If you are a current employee of the university or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. © The University of Sydney The university reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 10 August 2025 11:59 PM Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! So once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! The University values are excellence, trust and accountability. The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged. The University reserves the right not to proceed with any appointment. The University of Sydney may conduct routine pre-employment checks before an appointment is made. Want to know more about working at the University of Sydney? https://www.sydney.edu.au/about-us.html
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 10/04/2025
"Sampling Triangulations of Manifolds Using Monte Carlo Methods", my paper with Jonathan Spreer has now been published in "Experimental Mathematics". www.tandfonline.com/doi/citedby/10.…
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 10/02/2025
"A generative model for community types in directed networks", paper with Cathy X. Liu and Tristram J. Alexander, now published in the Journal of Complex Networks. It shows how different relationships between two groups of nodes (users) can appear in (social) […] [Original post on aus.social]
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 02/02/2025
"Synthetic graphs for link prediction benchmarking", new paper with Alexey Vlaskin, published in the Journal of Physics: Complexity doi.org/10.1088/2632-072X/ada07f
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 18/12/2024
"Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis", my 150p monograph written at the The University of Sydney and the MPI-PKS Dresden is now published by @SpringerNature: Electronic/print […] [Original post on aus.social]
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 09/12/2024
"Synthetic graphs for link prediction benchmarking" , New pre-print with Alexey Vlaskin arxiv.org/abs/2412.03757
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 05/12/2024
I created a Bluesky account: eduardoaltmann.bsky.social bsky.app/profile/eduardoaltmann.bsk… There is also a Bluesky account that mirrors this Mastodon account at: EduardoAltmann.aus.social.ap.brid.gy bsky.app/profile/EduardoAltmann.aus…
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Eduardo Altmann @eduardoaltmann.aus.social.ap.brid.gy · 31/10/2024
We're organising a 2 day workshop (morning of 13/11 & 14/11) of the centre for Complex Systems @Sydney_Uni, on the occasion of Maxi SanMiguel 's visit. Speakers and program available at: www.maths.usyd.edu.au/u/ega/complex… Non Usyd members, write me if you're interested in attending.
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Tiago Peixoto @tiago.social.skewed.de.ap.brid.gy · 15/10/2024
🚨Job alert!🚨 Come join us at the Inverse Complexity Lab! @invcomplexity We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. We are looking for an early-stage or […] [Original post on social.skewed.de]
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Tiago Peixoto @tiago.social.skewed.de.ap.brid.gy · 23/09/2024
I'm happy to announce that as of next week I'm taking up a new position as full professor at IT:U (it-u.at)! IT:U is a brand new public university in Linz, Austria 🇦🇹, that focuses on interdisciplinarity. At IT:U I'll be heading the “Inverse Complexity Lab” (skewed.de/tiago) […]
social.skewed.de
Original post on social.skewed.de
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Harald Klinke @hxxxkxxx.det.social.ap.brid.gy · 18/09/2024
“Text as Data” From March 31 to April 5, 2025, a week-long DH Spring School in Potsdam, Germany will focus on text-based digital humanities for students and early-career scholars. Learn computational methods like topic modeling, stylometry, and network analysis. Apply by Nov 30, 2024 […]
det.social
Original post on det.social
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