Second call for applications – AMS MRC 2024 on Climate Science at the Interface between Topological Data Analysis and Dynamical Systems Theory

Dear colleagues,

This is the second and last call for applications for this MRC. Please share the advertisement below with anyone you think might be interested.  

Deadline for applications: 15 February 2024.

Best wishes,

Nina

___________________________________________

AMS MRC 2024 on Climate Science at the Interface between Topological Data Analysis and Dynamical Systems Theory

Are you an early-career scientist/mathematician interested in using topological data analysis and dynamical systems to study climate change? Our AMS Summer Conference might be for you!

https://www.ams.org/programs/research-communities/mrc-24

https://www.ams.org/programs/research-communities/2024MRC-ClimateScience

Our AMS MRC titled “Climate Science at the Interface Between Topological Data Analysis and Dynamical Systems Theory” will take place in July 2024 at the Beaver Hollow Centre, New York (USA). 

The goal is to involve participants in research projects on exciting and novel applications of topological data analysis and dynamical systems theory to climate science. The MRC includes practical projects, like improving algorithms and software, applications to the study of weather regimes, and theoretical considerations in persistent homology and dynamical systems. Interactions between topological data analysis and these fields are still very new, so this is an ideal opportunity for early-career academics to make new contributions. The MRC will also include career guidance sessions, as well as plenty of socialising and enjoyment of the beautiful nature. Tutorials and reading material on topological data analysis and relevant climate/weather analysis will be provided in advance of the MRC.

You can read more about the theme of the MRC in our article published in the February 2024 issue of the AMS Notices: 

https://community.ams.org/journals/notices/202402/rnoti-p267.pdf

Please consider applying! We encourage applications from early-career (advanced undergraduate up to postdoc level) mathematicians with a background in applied algebraic topology and scientists working on climate or meteorology, both from academia and industry.

The organisers,

Kristian, Nina, Davide and Theo

Call for Papers: Computational Geometry: Young Researchers Forum (CG:YRF) 2024

The 40th International Symposium on Computational Geometry (SoCG 2024) is planned to take place in Athens, Greece, June 11–14, 2024. It brings together the global community of researchers who work on a large variety of aspects that combine geometry, algorithms and applications. To allow a broad audience to actively participate in the community’s major scientific event, this year SoCG will again be accompanied by a series of satellite events, which together constitute “CG Week 2024”.

One of these satellite events will be the “Computational Geometry: Young Researchers Forum” (CG:YRF), which is aimed at current and recent students. The active involvement by students and recent graduates in research, discussions, and social events has been longstanding tradition in the CG community. Participation in a top-level event such as SoCG can be educating, motivating, and useful for networking, both with other students and with more senior scientists.

The YRF presents young researchers (defined as not having received a formal doctorate before January 1, 2022) an opportunity to present their work (in progress as well as finished results) to the CG community in a friendly, open setting. Just like in the main event, presentations will be given in the form of talks. A pre-screening (but no formal review process) will ensure appropriate quality control.

CG:YRF 2024 conference web page https://sites.google.com/alumni.stonybrook.edu/cgyrf24/ 

CG:YRF 2024 easychair submission page https://easychair.org/conferences/?conf=cglyrf2024 

Important Dates, 2024

  • 1 March deadline for submissions
  • 24 March notification of conditional acceptance
  • 7 April deadline for revisions
  • 14 April notification of acceptance
  • June 11–14 CG Week

Submission guidelines

The idea of the event is for young researchers to present new and ongoing work. Therefore, the work should not have appeared in print in a formally reviewed proceedings volume or journal by the time of submission deadline, and at least one author must be a young researcher.

Topics must fit into the general context of SoCG, as described in the call for SoCG submissions

Submissions must be formatted according to the same style file as regular SoCG submissions and not exceed 80 lines, excluding front matter and references. Unlike SoCG, YRF is not employing double-blind reviewing this year. To ensure an accurate line counting, authors must use the LaTeX class file socg-lipics-v2021, which is a wrapper around the standard LIPIcs class, see these guidelines. Authors should refrain from putting excessive amounts of texts in parts in which lines are not counted automatically.

Submissions can contain an appendix of arbitrary length to provide further details for the screening process, but the main body of the text should be understandable without reading the appendix. Appendices will also not be contained in the booklet (see below).

Accepted abstracts will be compiled in a booklet of abstracts that will be distributed among the participants; this should not be considered a formal publication. In particular, participants are encouraged to submit (an extended version of) their presented work to a conference with formal proceedings and/or to a journal. Booklets of abstracts from previous years’ YRF are available on https://www.computational-geometry.org.

The work must be presented at CG:YRF by an author who is a young researcher. Otherwise, it will be removed from the program. 

We will employ a two-phase screening process. After the first review phase, there will be a notification of either rejection (if the result is clearly out of scope or technically incorrect), or conditional acceptance, accompanied with a description of required changes to be made (either with respect to content or format). In the second phase, we will check whether the changes have been implemented satisfactorily, and if not, a paper may still be rejected. The screening process is intended to ensure the technical quality of the presented work. Submissions that are not well-written risk rejection, irrespective of correctness. Authors are strongly encouraged to have their submissions proofread by their advisor or another experienced scientist.

Early submission

Some young researchers need more time to arrange for travel, visas, or funding. Authors are thus welcome to submit before the deadline above, in order for the submission to be reviewed earlier (including earlier notification of acceptance, rejection or conditional acceptance). Please notify the PC chair after you have made such an early submission.

All submissions will be judged according to the same standards of quality regardless of the submission date. It is acceptable to have parallel submission of the same results to SoCG and YRF; however, it will be expected that the YRF submission will be withdrawn if the full paper is accepted to SoCG. The reviewing for YRF is completely independent of the reviewing for SoCG.

Program Committee

Mid-Atlantic Topology Conference 2024

Dear colleagues,

We’re excited to announce the return of the Mid-Atlantic Topology Conference, to be held at Northeastern University the weekend of March 23–24, 2024. In addition to a poster session for graduate students, the conference will feature the following speakers.

Henry Adams (Florida)

Christin Bibby (Louisiana State)

Elden Elmanto (Toronto)

Hana Kong (Harvard)

Piotr Pstragowski (Harvard)

Martina Rovelli (UMass Amherst)

Nick Salter (Notre Dame)

Maru Sarazola (Minnesota)

Lori Ziegelmeier (Macalester)

Registration and further information can be found here:

https://sites.google.com/northeastern.edu/matc2024/home

Please note the funding deadline of January 19. We hope to be able to cover travel and lodging for graduate students and early career researchers. We particularly encourage members of historically underrepresented demographic and gender groups to apply.

Best wishes,

Thomas Brazelton

Iva Halacheva

Ben Knudsen

Jose Perea

CSC PhD Studentship in Electronic Engineering and Computer Science, Queen Mary University of London

Project title: The shape of words

The ability of Large Language Models (LLMs) (AKA Pretrained Foundation Models) to capture essential linguistic features, whether it is syntactic, semantic, or others, remains largely mysterious. This is in part because the tools currently used to investigate LLMs are too basic to analyze the intricate geometry of the embeddings produced by the models’ huge number of parameters. We therefore propose to re-think the way we analyze the embedding spaces and to develop tools that are better suited for the task.

Topological Data Analysis (TDA) is a collection of data-driven methods based on algebraic topology. Persistent Homology (PH) is the most popular TDA method, representing structural information related to connected components in the embedding space (holes, bubbles, etc.), and is commonly used to extract topological features underlying point-clouds.

We plan to analyze embedding spaces using PH and other TDA techniques, and to develop new methods and measures to better describe embedding spaces and extract the information they encode.

This endeavour is likely to shed light on the inner-working of LLMs, their training regimes, and the type of information they encode in their topological structures, linguistic or otherwise, and will provide novel topological approach that describes the “shape of words”.

This project will be co-funded by the China Scholarship Council (CSC). CSC is offering a monthly stipend to cover living expenses and QMUL is waving fees and hosting the student. These scholarships are available only for Chinese candidates. 

For more information, please contact us:

Haim Dubossarsky h.dubossarsky@qmul.ac.uk

Omer Bobrowski o.bobrowski@qmul.ac.uk

Postdoctoral Research Assistant, Queen Mary University of London

We invite applications for the position of Postdoctoral Research Assistant (PDRA) in the School of Mathematical Sciences for the project “Universality in Topological Data Analysis”, funded by the Leverhulme Trust. The successful applicant will work with Dr. Omer Bobrowski and Dr. Primoz Skraba, on developing the theory required to prove a series of conjectures on the universality properties of topological descriptors. A second goal is a fundamental challenge in Topological Data Analysis (TDA) – assessing the statistical significance of topological structures detected in data. The position comes with opportunities for attending workshops and conferences as well as establishing additional collaborations.

The successful applicant will have, or soon obtain, a PhD degree in mathematics, or equivalent level of professional qualifications and experience, in a field closely related to probability theory and/or applied topology, plus experience in writing high quality research papers.

The positition is up to 3 years. 

The job is listed at https://www.qmul.ac.uk/jobs/vacancies/items/9041.html

For further inquiries please contact o.bobrowski@qmul.ac.uk or p.skraba@qmul.ac.uk

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study.

Statistical Topology PhD Position, Queen Mary University of London, Deadline December 1

The School of Mathematical Sciences of Queen Mary University of London invites applications for a PhD project funded by the Leverhulme Trust, commencing in February 2024 working with Dr. Omer Bobrowski and Dr. Primoz Skraba. Applications are due December 1st.

Project description

This project will focus on a series of conjectures, recently discovered experimentally, arguing that topological features have strong universality properties (i.e., the distribution of topological descriptors is independent of the model generating the data). The main goal of this project is to develop both the theory related to these conjectures, and their potential applications in statistics and machine learning. The project will roughly be equally divided between the two parts. The theoretical part will combine probability theory, with algebraic topology and geometry.  

The applications part will mainly address how universality can contribute to assessing the statistical significance of structures detected in data using topological tools.

Application

The application procedure is described on the School webpage: www.qmul.ac.uk/maths/postgraduate/postgraduate-research/application-process/

For further inquiries please contact o.bobrowski@qmul.ac.uk.

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study.

CfP FoDS Special Issue “Recent Advances in Topological Deep Learning”

Call for Papers
Special Issue of Foundations of Data Science
“Recent Advances in Topological Deep Learning”

Description: Data-driven discovery is widely regarded as the fourth paradigm that can fundamentally change scientific research landscape and pave the way for a new industrial revolution. The great success, from AlphaFold to ChatGPT, has demonstrated enormous power of artificial intelligence (AI)-based approaches. However, efficient representations and featurization of complex systems are still one of the central challenges for all the AI-based discoveries. Recently, topological data analysis (TDA) has brought in a new way for data characterization and modelling. Deeply rooted in algebraic topology and computational topology, TDA enables an effective balance between data description and model generalization. TDA-based deep learning models have already shown tremendous power in various applications, such as image processing, drug design, materials design, gene analysis, virus evolution, etc. Topological deep learning has emerged as a new interdisciplinary area between applied topology, data science, and machine learning.

The objective of this special issue is three-fold. First, it aims to showcase recent progress and success in TDA and topological deep learning. Second, it promotes new algorithms, methods, and models in topological deep learning. Third, this special issue is devoted to the 4th conference on “Computational Topology and Application” at the Tsinghua Sanya International Mathematics Forum (TSIMF) in Sanya, China, Dec 18-22, 2023. 


To this end, this special issue of Topological deep learning seeks original papers on the following topics including, but not limited to:
• Topological data analysis and its applications
• Multidimensional persistence, Zig-zag persistence
• Reeb graph, discrete Morse theory, Conley index,
• Path complex, Neighborhood complex, Dowker complex, hypergraph,
• hyperdigraph and their persistent homology and/or Laplacians
• Geometric anomaly detection, differential geometry, discrete exterior calculus
• Spectral graph, spectral simplicial complex, spectral hyper(di)graph
• Topological Laplacians and topological Diracs
• Persistent homology, persistent Laplacian, and other persistent forms
• Cellular Sheaves, periodic cell complex, periodic topology, and local topology
• Dimension reduction (manifold learning, Isomap, Laplacian eigenmaps, diffusion maps, UMAP, MAPPER, hyperbolic geometry, Poincaré embedding, etc)
• Geometric deep learning, graph neural network, simplex complex neural network

Target Dates:
• Manuscript submission Deadline: October 10, 2023 (Will be extended)
• Completion of Peer Reviews: December 10, 2023
• Publication Date: January 30, 2024

Guest Editors:
• Guowei Wei (weig@msu.edu), Michigan State University
• Jie Wu (wujie@bimsa.cn), Beijing Institute of Mathematical Sciences and Applications (BIMSA)
• Duc Nguyen (ducnguyen@uky.edu), University of Kentucky
• Kelin Xia (xiakelin@ntu.edu.sg), Nanyang Technological UniversityMore detailed information can be found https://www.aimsciences.org/FoDS/news/3825

TDA Postdoc – Personalized Medicine at Université de Paris

Francois Petit writes:

The team METHODS of the Centre de Recherche Epidémiologie et Statistiques/Université de Paris (CRESS-UMR1153) is looking for a post-doctoral fellow on an ANR-funded project (lead by Francois Petit).

The aim of the ToROTR project is to develop and study topological, geometric and statistical methods to develop optimal treatment rules and evaluate their robustness. This interdisciplinary project encompasses a diverse range of domains, including topological data analysis, causal inference, and machine learning. We warmly welcome applicants from various backgrounds who are eager to learn and explore new topics.

We are searching for a dedicated candidate with a strong mathematical background and a doctoral degree in mathematics, statistics, or machine learning, who possesses a keen interest in applying their skills to health sciences.

Candidates with strong expertise in topological data analysis and experience in coding and working with real data are very welcome.

Team: The team METHODS of CRESS, located at Hôtel-Dieu hospital in the center of Paris, is affiliated to Université Paris-Cité and Inserm. It offers a dynamic international research environment.
Activities:

Education level: Doctoral degree in mathematics or (bio-)statistics or computer science
Duration: 12 months
Contactfrancois.petit@inserm.fr
How to Apply: Your application should include a cover letter with a brief account of your research interests and motivation for applying for the position, a resume and a complete list of publications, the name, and email address of 2 references.

The deadline to apply is the 15h of September 2023.

Postdoctoral position in TDA for personalized medicine at CRESS

Postdoctoral position in TDA for personalized medicine at CRESS (Paris, FRANCE)

The team METHODS of the Centre de Recherche Epidémiologie et
Statistiques/Université Paris Cité-INSERM (CRESS-U1153) is looking for a
post-doctoral fellow for the ToROTR project lead by Francois Petit.

The aim of the ToROTR project is to develop and study topological,
geometric and statistical methods to develop optimal treatment rules and
evaluate their robustness. This interdisciplinary project encompasses a
diverse range of domains, including topological data analysis, causal
inference, and machine learning. We warmly welcome applicants from
various backgrounds who are eager to learn and explore new topics.

Various questions may be studied within this project, depending on the
candidate’s expertise.

We are searching for a dedicated candidate with a strong mathematical
background and a doctoral degree in mathematics, statistics, or machine
learning, who possesses a keen interest in applying their skills to
health sciences. Candidates with strong expertise in topological data

analysis and experience in coding and working with real data are very welcome.

Team and location: The team METHODS of CRESS, located at Hôtel-Dieu hospital in the
center of Paris, is affiliated to Université Paris-Cité and Inserm.

Duration: 12 months

Contact: francois.petit@inserm.fr

How to Apply: Your application should include a cover letter with a
brief account of your research interests and motivation for applying for
the position, a resume and a complete list of publications, the name,
and email address of 2 references.

More info at http://www.fpetit.org/Postdoc/Postdoc_ToROTR.pdf

The deadline to apply is the 15h of September 2023.