ATMCS 9: Call for Contributions

We are excited to announce the 9th installment in a conference series on Algebraic Topology: Methods, Computation, and Science (ATMCS), which will be held at the Ohio State University, on June 8–12, 2020. The local organizers are Prof. Tamal Dey, Prof. Matthew Kahle, Prof. Facundo Memoli and Prof. Yusu Wang from the TGDA@OSU group.

A key goal of the conference series is the further development of topological and geometrical techniques for use in applications in biology, materials science, neuroscience, among other fields, and the creation of new areas of applications. This conference series maintains a strong tradition of bringing together leading established researchers and young scientists in this emerging discipline, thus providing an opportunity for the exchange of experience and the development of new research ideas.

ATMCS9 invites submissions for contributed short talks (30 minutes) or research posters. For more information see https://easychair.org/cfp/ATMCS-2020.

The website of the conference https://tgda.osu.edu/atmcs2020/ is being updated regularly with up to date information, so please be sure to check back as the conference date approaches. In particular, we expect to have some travel funding available. Priority for such funding will be given to early-career researchers and underrepresented groups. Details about funding applications will be made available around mid-March 2020.

Please don’t hesitate to write to atmcs2020@gmail.com if you have any questions. We look forward to welcoming you at OSU!

The ATMCS 9 organizing committee.

QMUL: Postdoc in Topological Analysis of Maritime Data

Applications are invited for the role of Postdoctoral Research Assistant to undertake research in the ‘Topological Analysis of Maritime Data’ project under the supervision of Dr. Primoz Skraba. This is a project funded from the Defence Science and Technology Laboratory and the Alan Turing Institute. The project will also include collaboration with Dr. Vidit Nanda at Oxford.

The role involves the application of topological data analysis techniques for anomaly detection. This involves various aspects of topological data analysis including but is not limited to persistent homology and the various tools to compute it, distances and statistics on persistence diagrams, and stratified spaces.

The appointee will need to have a PhD (or equivalent) in mathematics, computer science, or related (obtained or near to completion) or equivalent qualification.

For more information, see MathJobs https://www.mathjobs.org/jobs/jobs/15334

ANU Postdoc in Computational Topology

The Mathematical Sciences Institute at the Australian National University is seeking a Postdoctoral Fellow for the modeling of stratified spaces using computational topology.

About the Position This position will contribute to the research effort being led by Katharine Turner, in collaboration with Stephen Roberts and Markus Hegland, within the Mathematical Sciences Institute. The position will collaborate with them on modelling stratified spaces from point cloud data using methods from computational topology. The position will also collaborate with other internal and external researchers relevant to the project, along with research students and professional staff, as required. In addition, the postdoctoral fellow will have multiple opportunities to present their findings at conferences and workshops. Applicants are expected to have an outstanding research record in computational topology or a related area, as evidenced by publications in peer-reviewed journals, software development and attendance at workshops and conferences. This is a research intensive position and the level of, Academic Level A or B, is to be determined by the appointee’s current research and teaching expertise. The successful candidate will be involved in some teaching both in their area of specialisation and standard mathematics undergraduate courses, however this will be at a reduced level.

For more information, see MathJobs https://www.mathjobs.org/jobs/jobs/15345

Journal special issue: Computational algebraic topology and neural networks in computer vision

We would like to draw your attention to a special issue on
“Computational algebraic topology and neural networks in computer
vision” in the journal “MDPI Mathematics”(JCR Q1) that we (Matthias
Zeppelzuer and Rocio González-Díaz) are co-editing. This special issue
collects papers with the aim of developing novel topology-based
approaches for computer vision and/or applying topology-based
approaches to
improve the current state-of-the-art in machine learning and computer vision.
Of special interest are papers that address the challenge of
integrating topology as the main tool in neural networks to computer
vision applications.

The deadline is June 20, 2020. The journal is open access. We will
invite the five best papers submitted and reviewed without charge.

Link to the Special Issue:
https://www.mdpi.com/journal/mathematics/special_issues/Computational_algebraic_topology_neural_networks_computer_vision

Looking forward to your submission. If you have any questions, do not
hesitate to contact us.

The guest co-editors,

Rocio Gonzalez-Diaz (rogodi@us.es)
Matthias Zeppelzauer (Matthias.Zeppelzauer@fhstp.ac.at)

Oxford Applied Topology School

Dear Colleagues,

We are pleased to announce the Oxford Applied Topology School (OxATS), which will take place at the University of Oxford in the UK, from the 30th March to 3rd April 2020.

The School is designed for early career researchers in Computational and Applied Topology to meet and learn about topics in the field under the guidance of senior researchers. The Applied Topology School will feature 3 mini-lecture series:


  1. Geometric and Topological Inference: Frédéric Chazal, Inria Saclay
  2. Topological Complexity: Petar Pavešić, University of Ljubljana
  3. Sheaf Theory, Homological Algebra, & Data Analysis: Michael Robinson, American University

Participants are encouraged to present their research during a poster session. Limited free accommodation is available for early-career researchers.

Deadlines:
  • Application for accomodation: Friday 10 January 2020
  • General registration: Friday 28 February 2020
  •  Poster titles and abstracts: Friday 28 February 2020

For more details concerning accommodation, financial support, registrations fees and deadlines see the OxATS website.

We hope you will be interested in joining the school and we look forward to hearing from you. Please do not hesitate to contact us with any queries at apptopschool@maths.ox.ac.uk.

This event is supported by the Oxford Centre for Topological Data Analysis

Oxford Applied Topology School Organising Committee 

  • Naya Yerolemou
  • Oliver Vipond
  • Ambrose Yim
  • Jacob Leygonie
  • Barbara Mahler

PhD position in TDA / machine learning at University of Bergen

There is a vacancy for a PhD position in machine learning at the Department of Informatics. The fellowship will be for a period of 3 years, with the possibility for a 4th year, consisting of 25 % compulsory work (e.g. teaching responsibilities at the department) distributed across the employment period. The 4th year is contingent on the qualifications of the candidate and the teaching needs of the department, and will be decided upon appointment.

Machine learning is a special focus area of our department and we are in the process of strengthening the machine learning group. This position is part of this ongoing expansion. The University of Bergen  recently founded the Center for Data Science (CEDAS) as an important extension of research and education activities within data science.

The successful candidate will work towards receiving a PhD degree in machine learning within the end of the employment period. The PhD student will be associated with CEDAS. The thesis topic will be in one of the areas of expertise of the faculty members of the machine learning group. Currently, this includes  topological data analysis, probabilistic graphical models and Bayesian inference.

The application deadline is on January 12th 2020. For more information on the position and how to apply, please visit Jobbnorge (https://www.jobbnorge.no/en/available-jobs/job/179110/phd-position-in-machine-learning).

TDA Postdocs at Oxford

Heather Harrington writes:

We have two postdoc positions in Oxford at the centre for topological data analysis:
1 Topological data analysis and modelling of cancer and immune dynamics for patient stratification (Heather Harrington, Helen Byrne, Philip Maini, Eamonn Gaffney, Xin Liu, Mark Middleton)
2 Topological analysis of maritime data (Vidit Nanda and Primoz Skraba (QMUL), with Heather Harrington, Ulrike Tillmann, Michael Farber)

Advertisements here:
https://www.maths.ox.ac.uk/node/34298
Please circulate.Closing deadline is 18 December. These are 1-2 year positions.

Málaga and Topology Meeting

The Geometry and Topology team of the University of Málaga is pleased to present the sixth edition of the “Málaga & Topology Meeting” which will talke place from February 5 to 7, 2020. We welcome anyone interested in attending, in an informal and relaxed atmosphere, the talks of a selected group of topologists. In this edition we have the following speakers:

  • Alejandro Adem (to be confirmed)
  • Yago Antolín
  • Roger Casals (to be confirmed)
  • Robert Ghrist
  • Najib Idrissi
  • Vidit Nanda
  • Ana Peón-Nieto

More information and (free) registration available in https://sites.google.com/view/jibiri-and-malaga-topology/home

At the same time, see also the previous link, we will also host the  “Jibiri Seminar”, an itinerant yearly event on topics of algebraic geometry. This edition will consists in a course on Varieties of Characters given by:

  • Marina Logares
  • Ángel González-Prieto
  • Vicente Muñoz

For both events, there will be some funding available for young researchers.

Update: 6th Workshop and Winter School on Geometric and Topological Data Analysis

Dear Colleagues,
We’re pleased to announce that we’ve been able to reduce the registration fee for the 6th Geometric and Topological Data Analysis Winter School and Workshop, and we have extended the registration deadlines. The new registration fee is 1,000 MXN (about 50 USD), and students may apply for a 40% discount and local housing on the registration form. If you have already registered and applied for financial support, there is no need to do so again. 

The new registration deadline is Thursday, December 5th, 2019, and we will send out decisions about housing, registration fee support, and contributed talks and posters by Monday, December 9th, 2019 at the latest.

Further information about the school:

The “6th. Workshop and Winter School on Geometric and Topological Data Analysis” will take place at CIMAT, Guanajuato, from January 20th-24th, 2020.

The program of the event includes the following mini-courses:

Geometric complexes in applied topology
Henry Adams, Colorado State University

Random Cubical Complexes
Erika Roldán, University of Munich

Algebraic Tools in Multiparameter Persistent Homology
Hal Schenck, Iowa State University

as well as invited talks on related themes by:

Tomasz Kacynski, University of Sherbrooke

Facundo Mémoli, Ohio State University

Takashi Owada, Purdue University

Michael Catanzaro, Iowa State University

Noe Barcenas, UNAM Morelia

Dejan Govc, University of Aberdeen

Nicole Sanderson, Lawrence Berkeley National Laboratory

Parker Edwards, Florida State University

Stefania Ebli, École Polytechnique Federal Lausanne

Rafaella Mulas, Max Planck Institute Bonn

Oliver Gavfert, Royal Institute of Technology Stockholm (KTH)

Registration for the workshop is through the website http://atd2020.eventos.cimat.mx.

Important dates:
Registration deadline: December 5th, 2019
Deadline for housing and registration fee support (for students): December 5th, 2019

We’re looking forward to seeing you in Guanajuato!

Organizing committee:

Abraham Martín del CampoAntonio RieserCarlos Vargas Obieta

Tenure Track Professorship in Bremen

Dmitriy Feichtner-Kozlov announces a tenure track professorship in Bremen that welcomes Applied Topology applicants.

The department of Mathematics and Computer Science, of the University of Bremen, has an opening for

Tenure track professorship (f/m/d) (W1 with tenure track towards W2)

The position is part of Pure Mathematics and has denomination

Mathematical foundations of data analysis

 The position reference number is JP 401/19

More details are available here: https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies/details-job-vacancies/joblist/Job/show/tenure-track-professorship-fmd-6102/