Applied Topology

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 ([email protected]), Michigan State University
• Jie Wu ([email protected]), Beijing Institute of Mathematical Sciences and Applications (BIMSA)
• Duc Nguyen ([email protected]), University of Kentucky
• Kelin Xia ([email protected]), Nanyang Technological UniversityMore detailed information can be found https://www.aimsciences.org/FoDS/news/3825

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
Contact: [email protected]
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 (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: [email protected]

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.

Dear all,

from the 19th to 21st of September the Fourth Workshop on Topological Methods in Data Analysis will take place within the cluster of excellence STRUCTURES at Heidelberg University. The main part of the workshop will be a lecture and tutorial series by Dr. Andreas Ott (Karlsruher Institut für Technologie) on synergies between topological data analysis and life sciences. This workshop is designed for both mathematicians and life scientists with or without prior knowledge in TDA and relevant biology.

As a supplement, participants will have the opportunity to give short lightning talks on their own TDA-related work. The workshop will be in hybrid format with opportunities for on-site get-togethers in Heidelberg. More information can be found in the attached flyer and on the workshop’s webpage (tda.mathi.uni-heidelberg.de).

Registration is now OPEN. Please register via

https://docs.google.com/forms/d/e/1FAIpQLSc3mZAMjud6FBSUaEWdakbKOdpf-Gyu0B-htFLCzr17C2PKGw/viewform

Registration deadline for participants who want to apply for giving a lightning talk is the 11th of September.

For participation only, the deadline is the 15th of September.

Feel free to share this information with interested colleagues.

We are looking forward to your participation. Do not hesitate to contact us in the case of questions.

Best regards

The organisation committee consisting of Freya Jensen, Viktoria Noel and Daniel Spitz

Hello,

Adam Helfer has asked to share the following message, and anybody with questions can contact him at [email protected].

Best, Henry Adams

=====

The Math Department at the University of Missouri-Columbia will hire two assistant professor TT positions to start in AY2024-25.  They are both designated geometry/topology, and one of them requires also an emphasis on applications.

The particular sub-areas (within geometry/topology) are less important than the strengths of the candidates.  People working in AI or topological data analysis, for instance, provided they do so using geometric and/or topological tools, would certainly be good candidates for the “emphasis on applications” position.  They would be important to our graduate program, and so they should be comfortable teaching standard math grad courses.

Review of applications will begin 1 October.  For more information, and to apply, see https://www.mathjobs.org/jobs/list/22708.

Grigory Garkusha writes:
This is to bring to your attention the permanent Lectureship position in applied algebra or applied topology at the Mathematics Department of Swansea University. 

The deadline for applications is 4^th September, 2023. All information can be found at the webpage:

https://www.swansea.ac.uk/jobs-at-swansea/current-vacancies/details/?nPostingId=138178&nPostingTargetId=167574&id=QHUFK026203F3VBQB7VLO8NXD&LG=UK&languageSelect=UK&mask=suext

Rémi Molinier writes:

There is a one year Postdoc position in Grenoble to work on TDA applied to material science, as a part of the chair MAGNET of the MIAI institute of Grenoble, under the guidance of Noël Jakse and myself. The starting date should be before the end of December 2023. 

The goal is to construct topological descriptors for local environment of atoms to study cristal nucleation in alloys. This is the continuation of the work here which study only the case of monoatomic metals where the main issue will be to deal with different type of atoms.

We are looking for someone with an expertise in TDA and interested in applications. Experience of computing and working with data will be really appreciated. Knowledge and interest in physics and basics in machine learning is not mandatory but will be a plus.

To apply, interested candidates should send a CV with a list of publication and two reference letters to myself ([email protected]). Feel free to contact me for any questions regarding the position of the project.

The 3rd workshop on Computational Persistence will take place from Sep 25 to Sep 29 in hybrid mode at Purdue University, West Lafayette, Indiana. This workshop provides a forum to exchange ideas on computational aspects of topological persistence that fertilize advances in topological data analysis.

The schedule will be composed of invited and contributed talks on computational aspects of topological data analysis. Contributed talks can be suggested in the form of an abstract of at most two pages. A scientific committee will check the submissions and make a selection.

The first two issues of the workshop were online conferences – the upcoming workshop is the first one where on-site participation is possible. We encourage this option, but equally welcome submissions of researchers that attend remotely.

Dates:
Deadline for abstracts of contributed talks: June 23, 2023
Notification of acceptance: July 14, 2023

Submission server: https://easychair.org/conferences/?conf=compper2023

Web-page: https://www.cs.purdue.edu/ComPerWorkshop/

Scientific committee:
Tamal Dey (Purdue)
Tao Hou (De Paul University)
Michael Kerber (Graz University of Technology)
Steve Oudot (INRIA Saclay)
Yusu Wang (Univ of California, San Diego)

Organizers: Tamal Dey, Michael Kerber, Soham Mukherjee, Shreyas Samaga, Tao Hou

FoQaCiA Summer School is a two-week program taking place at Bilkent University focused on theoretical aspects of quantum computing aimed primarily at senior undergraduate and graduate students. During the school, participants will have an opportunity to learn the foundations of quantum computing theory from leading experts and work intensively under the guidance of active researchers in the field.
Location: Bilkent University, Ankara, Turkey
Organizers: Rui Soares Barbosa and Cihan Okay

Registration is now open: https://foqaciasummerschool.com
Deadline for registration: May 1, 2023

We would like to draw your attention to the “Third Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning” to be held at Northeastern University on June 8th to June 10th, 2023. 

The goal of the conference is to gather graduate students and postdocs to share their research work in applications of Geometry and Topology to Data Analysis and Machine Learning. The aim is to build bridges between academic institutions, and to enhance discussion and collaboration via poster sessions, short presentations, and discussion panels. A plenary lecture will be delivered by Prof. Justin Solomon (MIT).

We anticipate having some amount of funding to support students who would like to attend.  Registration details can be found in https://gtdaml.wixsite.com/2023. The deadline for applying for

financial support is May 10, 2023.

This is the third installment in the series of conferences (GDTAML 19’ https://tgda.osu.edu/gtdaml2019  and GTDAML 21’ (https://gtdaml.wixsite.com/2021) and follows other synergistic activities run by the organizers in the past (e.g., https://www.ams.org/programs/research-communities/2022MRC-DataSci).

Please contact the organizing committee via [email protected] if you have any questions.