Category Archives: appliedtopology

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

School on Topological Data Analysis, Guanajuato, Mexico

We are pleased to announce the 5th School on Topological Data Analysis and Related Topics, which will take place at the Centro de Investigación en Matemáticas in Guanajuato, Mexico, on November 19th-23rd. The school is part of the joint effort between CIMAT, CINVESTAV, UNAM, and other institutions to promote the development of topological data analysis in Mexico and Latin America, and is structured to foster interaction and discussion among all participants, both researchers and students alike.

The school will consist of 3 mini-courses by the following speakers:

Jacek Brodzki, Southampton

Ezra Miller, Duke 

Sara Kalisnik, MPI - Wesleyan

as well as invited talks by:

Daniela Egas Santander, EPFL

Eduardo Saenz de Cabezón, La Rioja

Additionally, there will be contributed talks and a poster session.

If you would like to give a talk or present a poster, please send an abstract to antonio.rieser@cimat.mx and/or abraham.mx@cimat.mx.

Deadlines:

Application for financial support: September 30, 2018

Registration: October 26, 2018

Website: atd2018.eventos.cimat.mx

Contact: abraham.mc@cimat.mx, antonio.rieser@cimat.mx, rosa@cimat.mx

Upstate New York Topology Seminar (Nov 10-11 2018)

This is the first announcement for the Upstate New York Topology Seminar that will take place on Saturday & Sunday, November 10 & 11, 2018, at the University at Albany, State University of New York. The Upstate New York Topology Seminar (UNYTS) started under the name Topology Day, on September 15, 2017, at the University at Buffalo, SUNY (https://www.buffalo.edu/cas/math/news-events/calendar/topology-17.html).

This weekend conference will feature plenary lectures on a broad range of topics in algebraic, geometric, and applied topology, as well as geometric group theory, given by:

Henry Adams (Colorado State University),

Julie Bergner (University of Virginia),

Ben Knudsen (Harvard University),

Elizabeth Munch (Michigan State University),

Pedro Ontaneda (Binghamton University, SUNY),

Timothy Riley (Cornell University),

Nick Salter (Columbia University),

Inna Zakharevich (Cornell University).

Talks will begin at 10:15 a.m. on Saturday and end by 12:30 p.m. on Sunday, and will be held in UAlbany’s Massry Center for Business, room BB-B012. The schedule and more details will be posted on the conference webpage at https://www.albany.edu/~mv312143/unyts/.

If you plan to attend, please fill out the registration form at https://goo.gl/forms/FXuw359rhnEvQwLt2 to help us in planning.

We have applied for NSF funding to cover travel expenses for some participants, particularly those in the early stages of their careers or from historically underrepresented groups. If you would like to be considered for funding, please indicate this on the registration form.

We have reserved a block of rooms at $104/night (before taxes) at the Marriott Courtyard across the street from UAlbany’s campus. Booking details are posted on the conference webpage at https://www.albany.edu/~mv312143/unyts/.

We hope to see you in Albany in November!

Ellen Gasparovic

Brenda Johnson

Marco Varisco

Special Session on Applied Algebraic Topology, AMS Fall Eastern Sectional 2018

The AMS Fall Eastern Sectional will be September 29-30 at the University of Delaware in Newark, DE. There will be a special session on Applied Algebraic Topology, and we'd like to invite everyone to join us. We've got a great group of both junior and senior speakers, including:

  • Subhrajit Bhattacharya
  • Pablo Cámara
  • Ben Cassidy
  • Chao Chen
  • Carina Curto
  • Justin Curry
  • Michael Erdmann
  • Ellen Gasparovic
  • Robert Ghrist
  • Vladimir Itskov
  • Alex Kunin
  • Konstantin Mischaikow
  • Anthea Monod
  • Michael Robinson
  • Radmila Sazdanovic
  • Simon Segert
  • Don Sheehy
  • Robert Short
  • Kelly Spendlove
  • Min-Chun Wu
  • Iris Yoon
When they are ready, the schedule and abstracts will be available here: http://www.ams.org/meetings/sectional/2256_program.html

Best,
Chad Giusti and Greg Henselman

Workshop on Topology and Neuroscience

We are pleased to announce the first workshop on topology and neuroscience, which will be held from Wednesday, November 28, to Friday, November 30, 2018 at the EPFL campus in Lausanne, Switzerland.

This workshop aims at bringing together people working in the intersection of topology and neuroscience and welcomes anyone who has an interest in these subjects.

There will be two lecture series by:

  • Carina Curto, Pennsylvania State University
  • Olaf Sporns, Indiana University

There will be contributed talks given by:

  • Paul Expert, Imperial College London
  • Eyal Gal, The Hebrew University of Jerusalem
  • Chad Giusti, University of Delaware
  • Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften in Leipzig
  • Tom Leinster, University of Edinburgh
  • Ran Levi, University of Aberdeen
  • Sofia Olhede, University College London
  • Jose Perea, Michigan State University
  • Erik Rybakken, Norwegian University of Science and Technology
  • Bernadette Stolz, University of Oxford
  • Katharine Turner, Australian National University
  • Hubert Wagner, Institute of Science and Technology Austria

Additionally, there will be a poster session during the workshop.

Registration is open on the conference website, https://neurotop2018.org, and will close September 1, 2018 or when we reach capacity.

We have limited funding for students to cover local expenses. Applications for such funding is open on the conference website and will close on July 18, 2018.

All additional relevant information regarding the conference will continuously be updated on the conference website. In particular, travel information on how to get to EPFL as well as suggested accommodation options are already detailed there.

You can contact the organizers at neurotop2018@neurotop2018.org.

With best regards, the organizing committee

  • Stefania Ebli
  • Daniela Egas Santander
  • Nicolas Ninin
  • Gard Spreemann

TRIPODS Summer Bootcamp on Topology and Machine Learning, August 2018

We invite you to apply to attend the TRIPODS Summer Bootcamp on Topology and Machine Learning. The bootcamp will be hosted at ICERM during the week of August 6-10, 2018. Applications are currently being accepted, and will be accepted until July 5. For more information, please see the webpage at
https://icerm.brown.edu/tripods/tri18-2-tml/

Best,
Henry Adams, Colorado State University
Jeffrey Brock, Brown University
Melissa McGuirl, Brown University
Bjorn Sandstede, Brown University
Isaac Solomon, Brown University

Postdoctoral Research Associate: Large Scale Brain Network Computation

Postdoctoral positions are available for large-scale brain image and network analysis at the University of Wisconsin-Madison. The postdoctoral fellow will work with professor Moo K. Chung (www.stat.wisc.edu/~mchung) on developing new innovative statistical and machine learning methods for large scale brain images and networks.

Candidates should have received or expected to receive PhD degree or equivalent in mathematics, CS, EE, statistics, physics, biomedical engineering, psychology, neuroscience or related areas. Previous neuroimaging research experience is a plus but not necessary. Expertise in the following areas may be useful: matrix computation, time series analysis, manifold learning, topological data analysis, functional analysis, graph & network analysis.

Interested candidates should email CV (with the name of references) and two representative papers to Moo K. Chung (mkchung@wisc.edu).