Category Archives: appliedtopology

Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park

Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park.

This conference will bring together experts from around the world in the combination of geometrical or topological methods with probabilistic and statistical ones for the study of data.  Different ideas have been found valuable in the handling of different kinds of data, and we hope to promote discussions of what works and what fails, and when and why.

Invited Speakers

Yuliy Baryshnikov, Electrical and Computer Engineering, University of Illinois

Mikhail Belkin, Computer Science, Engineering and Statistics, Ohio State University

Paul L. Bendich, Mathematics, Duke University

Omer Bobrowski, Electrical Engineering, Technion, Institute of Technology, Israel

Jeff Brock, Yale University

Gunnar Carlsson, Mathematics, Stanford University

Daniela Egas Santander, Topology and Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland

Tamal Krishna DeyComputer Science and Engineering, Ohio State University

Tingran Gao, Statistics, University of Chicago

Herbert Edelsbrunner, Computer Science and Mathematics, Institute of Science and Technology, Austria

Clément Levrard, Probabilités, Statistique et Modélisation, Université Paris Diderot, France

Mauro Maggioni, Mathematics, John Hopkins University

Facundo Mémoli, Mathematics, Computer Science and Engineering, Ohio State University

Bertrand Michel, Informatique et Mathématiques, Ecole Centrale de Nantes, France

Ezra Miller, Mathematics, Duke University

Sayan Mukherjee, Statistical Science, Duke University

Takashi Owada, Statistiques, Purdue University

Gennady Samorodnitsky, Operations Research and Information Engineering, Cornell University

Benjamin Schweinhart, Mathematics, Ohio State University

Amit Singer, Applied and Computational Mathematics, Statistics and Machine Learning, Princeton University

Jonathan Taylor, Statistics, Stanford University

Katharine Turner, Mathematical Sciences, National University, Australia

Details about the conference are available on our website:

Please note: 

  • Travel funds are available to PhD Students, Postdoctoral Students and Early CareerAcademics.  Please submit your application by January 9, 2019.

You will be asked to submit your CV, a brief research statement (up to 250 words), and a brief statement explaining why and how attending this conference will contribute to your research (up to 250 words). In addition, please ask someone who is familiar with your work (your academic advisor or your mentor) to send a brief letter supporting your application to sbendier@uchicago.edu, by January 9, 2019. The letter should be addressed to the GDA 2019 Selection Committee.

  • Poster sessions will be organized. If you'd like your poster to be considered, please submit your application by January 9, 2019.

If you have any questions, please email Sylvie at sbendier@uchicago.edu

We hope to see you in May!

Scientific Committee: Robert Adler (Technion), Frederic Chazal (INRIA), Shmuel Weinberger (Chicago)

Postdoc in TDA at EPFL

The Laboratory for Topology and Neuroscience (EPFL) and L2F—Learn to Forecast (EPFL Innovation Park) invite applications for two postdoctoral positions in topological data analysis and machine learning, funded by the project “Topological Warning Signals for Critical System Transitions” supported by Innosuisse (Swiss Innovation Agency).

The aim of this project is to develop original predictive methods, combining advances in topological data analysis with machine learning research. The first goal of the project, inspired by critical phase transitions, is to define a new type of early warning signal using applied topology, in order to better anticipate sudden changes of regime such as financial crashes, earthquakes, or epileptic attacks. The second goal concerns the creation of new local features by analyzing the topology of datasets, in order to generalize current topological data analysis techniques to enhance the performance of machine learning models. 

L2F is a research-driven company that offers mathematically sophisticated machine learning solutions to corporate and institutional clients. L2F’s researchers, who won the 2017 NYC Taxi Challenge on Kaggle, are motivated by the desire to understand the fundamental laws of machine learning, in terms of its underlying mathematical theory. L2F is one of the fastest growing Swiss companies, with already 30 employees after one year of existence, and provides an exciting environment for multi-disciplinary researchers.

The appointed candidates will be based at L2F on the EPFL Innovation Park and engage in state-of-the-art research, in collaboration with the Laboratory for Topology and Neuroscience.

Candidates should hold a PhD in one of the following areas: algebraic topology, theoretical physics, or machine learning. Please send your cover letter, CV, and publication list to Kathryn Hess at kathryn.hess@epfl.ch  and Maxime Gabella at m.gabella@l2f.ch, to whom you should arrange for three letters of reference to be sent as well.

Starting date: March 1, 2019, or as soon as possible thereafter.

Duration: 18 months.

Application deadline: January 1, 2019.

Young Topologists Meeting (YTM) 2019: Registration open

Dear all,

Registration for the Young Topologists Meeting (YTM) 2019 is now open. It will take place between July 22 and July 26 at EPFL in Lausanne, Switzerland. The meeting will be an opportunity for graduate students, recent PhDs and other junior researchers to meet and present their work to each other. In addition to the talks given by the participants, there will be two lecture series, one in pure and one in applied topology, given by Julie Bergner (University of Virginia) and Vidit Nanda (University of Oxford).

We will be able to provide accommodation for some participants. We have also applied for NSF funding to cover the expenses of some participants from US institutions. Participants can indicate their interest for these funding possibilities in the registration form. The registration deadline is February 28, 2019 for applications for accommodation and March 31, 2019 for the rest of the form.

We strongly encourage participants to give a talk or present a poster. It does not have to contain original research results; expository presentations are also welcome.

Further information, including abstracts for the lecture series and a link to the registration form, can be found at https://ytm2019.epfl.ch/

We hope to see you in Lausanne!

Best regards,

The organizers

  • Stefania Ebli
  • Aras Ergus
  • Adélie Garin
  • Celia Hacker
  • Lyne Moser
  • Haoqing Wu

Geometric Data Analysis, U Chicago, May 20-23 2019

Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park.

This conference will bring together experts from around the world in the combination of geometrical or topological methods with probabilistic and statistical ones for the study of data.  Different ideas have been found valuable in the handling of different kinds of data, and we hope to promote discussions of what works and what fails, and when and why.

Invited Speakers

Yuliy Baryshnikov, Electrical and Computer Engineering, University of Illinois
Mikhail Belkin, Computer Science, Engineering and Statistics, Ohio State University
Paul L. Bendich, Mathematics, Duke University
Omer Bobrowski, Electrical Engineering, Technion, Institute of Technology, Israel
Jeff Brock?, Yale University
Gunnar Carlsson, Mathematics, Stanford University
Daniela Egas Santander, Topology and Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Tamal Krishna Dey, Computer Science and Engineering, Ohio State University
Tingra Gao, Statistics, University of Chicago
Herbert Edelsbrunner, Computer Science and Mathematics, Institute of Science and Technology, Austria
Clément Levrard, Probabilités, Statistique et Modélisation, Université Paris Diderot, France
Mauro Maggioni, Mathematics, John Hopkins University
Facundo Mémoli, Mathematics, Computer Science and Engineering, Ohio State University
Bertrand Michel, Informatique et Mathématiques, Ecole Centrale de Nantes, France
Ezra Miller, Mathematics, Duke University
Sayan Mukherjee, Statistical Science, Duke University
Takashi Owada, Statistiques, Purdue University
Gennady Samorodnitsky, Operations Research and Information Engineering, Cornell University
Benjamin Schweinhart, Mathematics, Ohio State University
Amit Singer, Applied and Computational Mathematics, Statistics and Machine Learning, Princeton University
Jonathan Taylor, Statistics, Stanford University
Katharine Turner, Mathematical Sciences, National University, Australia

? to be confirmed

Details about the conference are available on our website:

• Logistical details re.this 4-day conference (May 20-23, 2019) on the University of Chicago main campus in Hyde Park.

Geometric Data Analysis, 2019: Logistics


• Registration is free and open until May 13, 2019.
https://www.eventbrite.com/e/geometric-data-analysis-2019-tickets-52263737245
• Join our mailing list to receive reminders and updates.

Sign Up Form

Please note:

• Travel funds are available to PhD Students, Postdoctoral Students and Early Career Academics.  Please submit your application ( https://form.jotform.com/82675929584173 ) by January 9, 2019.
You will be asked to submit your CV, a brief research statement (up to 250 words), and a brief statement explaining why and how attending this conference will contribute to your research (up to 250 words). In addition, please ask someone who is familiar with your work (your academic advisor or your mentor) to send a brief letter supporting your application to sbendier@uchicago.edu, by January 9, 2019. The letter should be addressed to the GDA 2019 Selection Committee.

• Poster sessions will be organized. If you'd like your poster to be considered, please submit your application ( https://form.jotform.com/82675929584173 ) by January 9, 2019.

If you have any questions, please email Sylvie at sbendier@uchicago.edu

We hope to see you in May!

Scientific Committee: Robert Adler (Technion), Frederic Chazal (INRIA), Shmuel Weinberger (Chicago)

A selection of TDA Job Advertisements

There are some postings at MathJobs.org that specify Topological Data Analysis. These include:

Postdoc:

https://www.mathjobs.org/jobs/jobs/12518 Florida State University; department interests include TDA

https://www.mathjobs.org/jobs/jobs/12021 Several possible sites, including Florida State University where department interests include TDA

Faculty:

https://www.mathjobs.org/jobs/jobs/12350 Hong Kong University, tenured or tenure track

https://www.mathjobs.org/jobs/jobs/12666 Northeastern University, open rank

https://www.mathjobs.org/jobs/jobs/12155 University of Luxembourg, expected to create a new research group

https://www.mathjobs.org/jobs/jobs/12493 Florida State University, tenure track; department interests include TDA

https://www.mathjobs.org/jobs/jobs/12102 North Carolina State University (Raleigh), tenure track

Postdoc in applied topology at Swansea

Swansea University in Wales in currently advertising a 2 year postdoctoral research position in topological data analysis.

As part of the major EPSRC-funded Oxford-Swansea-Liverpool Centre for Topological Data Analysis, we are looking for a postdoctoral researcher to join the Swansea team in investigating applications of topology to data science and physics. The Swansea team consists of Pawel Dlotko, Jeff Giansiracusa, Biagio Lucini, and PhD students.

We are particularly interested in applicants with background in any of these areas:
* Computational topology / geometry
* Computational physics and lattice gauge theory
* Data science or machine learning

The ideal candidate will have some computer coding experience and be willing to learn new things.

Full details and application instruction can be found here:
http://www.swansea.ac.uk/personnel/jobs/details.php?nPostingID=23418&nPostingTargetID=36652&option=52&sort=DESC&respnr=1&ID=QHUFK026203F3VBQB7VLO8NXD&LOV4=7814&LOV5=7978&JOBADLG=UK&Resultsperpage=20&lg=UK&mask=suext

Salary: from £33,518 to £38,833

Closing date: 4 November 2018

Please contact
Pawel Dlotko ( P.T.Dlotko@swansea.ac.uk ) or
Jeff Giansiracusa ( j.h.giansiracusa@swansea.ac.uk )
if you are interested.

Applied Mathematical Modeling with Topological Techniques, ICERM, August 5-9, 2019

We are happy to announce an ICERM topical workshop on “Applied Mathematical Modeling with Topological Techniques”, August 5-9, 2019. Please see our webpage
https://icerm.brown.edu/topical_workshops/tw19-6-ammtt/

Mathematical modelers face a variety of challenges, including summarizing large data sets to understand and explore a system of interest, inferring the model parameters most accurate for describing a given data set, and assessing the goodness-of-fit between data sets. Computational topology provides a lens through which these challenges may be addressed. At the same time, just as topological techniques provide opportunities for modelers, the challenges that modelers face give rise to opportunities for applied topologists. For instance, topologists may develop techniques that make model predictions based on the topology of experimental or simulation data, that analyze time-varying data, or that turn model outputs into formats suitable for machine learning.

This workshop brings together the applied mathematical modeling and applied topology communities, aiming to give modelers exposure to topological techniques still not commonly used in their community, and to give topologists exposure to modeling challenges that might stimulate the development of new techniques.

The workshop will include tutorial sessions on modeling and on applied topology, during which participants will learn by doing hands-on computational exercises. Because the broad goal of this workshop is to encourage collaboration between members of the applied modeling and topology communities, a significant portion of the week will be devoted to participants initiating research on problems proposed by the organizers. The research problems will afford the potential for continued collaboration beyond the workshop.

Best,
The organizers
Henry Adams, Maria D’Orsogna, Rachel Neville, Jose Perea, Chad Topaz

PhD positions at KTH Royal Institute of Technology (Stockholm, Sweden)

There are several PhD positions available in Artificial Intelligence at KTH Royal Institute of Technology in Stockholm.

Deadline: September 30th 2018

Detailed information:

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:219360/type:job/where:4/apply:1

Further information regarding project B):

Project B) may in particular be of interest also to students interested in Computational Topology/Geometry and Machine Learning as there are intriguing connections between e.g. computational geometry and recent machine learning approaches such as deep convolutional neural networks.

Data-Driven Foundations for Robust Deformable Object Manipulation

The project's goals are to develop new paradigms for machine learning under constraints imposed by physics. This is a key challenge with current approaches such as "Deep Learning" which often perform well empirically, but have to date few mathematical guarantees.

The student will in particular investigate how to combine approaches to rigorous mathematical modeling of deformable objects such as plastics and metal sheets with recent advances in machine learning for state estimation and prediction. The project will be conducted in collaboration also with Chalmers University where real-world experiments with industrial robots will be performed which will provide a possibility for validation of hypotheses and to test the applicability of the developed methods to controlling a robot's actions in deformable object manipulation tasks.

New ideas coming from geometry and topology, persistent homology and sheaf cohomology, etc may find application in developing new algorithms in this area and there is interest in candidates with a wide variety of backgrounds, including candidates with strong knowledge of computational geometry, algebraic geometry, topology, differential geometry, probability theory, etc.

For questions on project B), please contact:

Florian Pokorny,

Assistant Professor, KTH

http://www.csc.kth.se/~fpokorny

Young Topologists Meeting 2019 - EPFL

We are pleased to announce that next year's Young Topologists Meeting will be held from Monday, July 22, to Friday, July 26, 2019 at EPFL in Lausanne, Switzerland.

The conference is intended as an opportunity for graduate students, recent PhDs, and other junior researchers in topology (both pure and applied) to meet each other and share their work. In addition to short talks by participants, the program for the meeting will include two lecture series by:

  • Julie Bergner, University of Virginia
  • Vidit Nanda, University of Oxford

Further information is going to be made available soon on the conference website at ytm2019.epfl.ch. We plan to open registration in November 2018.

If you have any questions, please do not hesitate to contact us at ytm2019@epfl.ch.

We hope to see you in Lausanne!

Best regards,

The organizers

  • Stefania Ebli
  • Aras Ergus
  • Adélie Garin
  • Celia Hacker
  • Lyne Moser
  • Haoqing Wu