Eduardo Altmann

"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]

For NSW residents, consider signing the e-petition "Extend Transport Concessions to Students in NSW"
https://www.parliament.nsw.gov.au/la/Pages/ePetition-details.aspx?q=27FbsaMZUo0AVBfL4cGZXg

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

Continuing position in Mathematical Optimisation here in our School in Sydney

https://usyd.wd105.myworkdayjobs.com/en-GB/USYD_EXTERNAL_CAREER_SITE/job/Senior-Lecturer---Associate-Professor-in-Optimisation-Theory_0136405-1

"Sampling Triangulations of Manifolds Using Monte Carlo Methods", my paper with Jonathan Spreer has now been published in "Experimental Mathematics".

https://www.tandfonline.com/doi/citedby/10.1080/10586458.2024.2433506?scroll=top&needAccess=true

"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]

"Synthetic graphs for link prediction benchmarking", new paper with Alexey Vlaskin, published in the Journal of Physics: Complexity
https://doi.org/10.1088/2632-072X/ada07f

Chapter 4 concludes the book with a general evaluation of the potential and limitations of statistical laws: a critical discussion of the uses and misuses in complex-systems research, connections to machine-learning approaches to data science, and speculations about the future of the field.

Chapter 3 critically discusses the different statistical methods used to evaluate the validity and estimate the parameters of statistical laws: from graphical models and linear regression to likelihood-based models and statistical inference.

Chapter 2 describes several cases of statistical laws, with focus on the identical role they play in different research areas: as connectors between data analysis and mechanistic models.

Chapter 1 starts from an historical account of paradigmatic laws, which motivate a general definition that: (i) includes examples from different disciplines and functional forms; (ii) distinguishes them from parametric fitting of curves or other statistical curiosities.

"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]

"Synthetic graphs for link prediction benchmarking" ,

New pre-print with Alexey Vlaskin

https://arxiv.org/abs/2412.03757

I created a Bluesky account:
eduardoaltmann.bsky.social
https://bsky.app/profile/eduardoaltmann.bsky.social

There is also a Bluesky account that mirrors this Mastodon account at:
EduardoAltmann.aus.social.ap.brid.gy
https://bsky.app/profile/EduardoAltmann.aus.social.ap.brid.gy

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:

https://www.maths.usyd.edu.au/u/ega/complex24/

Non Usyd members, write me if you're interested in attending.

🚨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.

https://skewed.de/lab/call.html

Deadline is 30 Nov 2024.

We are looking for an early-stage or […]

[Original post on social.skewed.de]

I'm happy to announce that as of next week I'm taking up a new position as full professor at IT:U (https://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” (https://skewed.de/tiago) […]

“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 […]