Thematic Einstein Semester: “Geometric and topological structure of materials”


Dear Scientists and Mathematicians,

We wish to announce the opening event (April 13 + 14, 2021) of the


  Thematic Einstein Semester

      “Geometric and Topological Structure of Materials”

  TU Berlin, Summer 2021


This fourth Berlin Thematic Einstein Semester (postponed from 2020) is
devoted to recent developments in the field of computational materials
science. It aims to bring together experts from the sciences with experts
from computational topology, computational algebraic, discrete
differential and stochastic geometry working on the structure
and function of materials.

The semester is organized within the framework of the Berlin Mathematics
Research Center MATH+ and is supported by the Einstein Foundation Berlin.

Opening Event:

April 13, 2021, Time Zone: Berlin Time (Central European Summer Time, CEST)

  02:15 pm to 02:45 pm   Virtual get-together
  02:45 pm to 03:00 pm   Welcome address by Christof Schütte
                         (President of ZIB Berlin, Chair of MATH+)

  03:00 pm to 03:40 pm   Ileana Streinu (Smith College)
  03:50 pm to 04:30 pm   Daphne Klotsa (U North Carolina at Chapel Hill)

  04:30 pm to 05:00 pm   Virtual coffee break

  05:00 pm to 05:40 pm   Herbert Edelsbrunner (IST Austria)

April 14, 2021, Time Zone: Berlin Time (Central European Summer Time, CEST)

  09:00 am to 09:40 am   Stephen Hyde (U Sydney)
  09:50 am to 10:30 am   Motoko Kotani (Tohoku U)

  10:30 am to 11:00 am   Virtual coffee break

  11:00 am to 11:40 am   Yasuaki Hiraoka (Kyoto U)




Please register via this form:

Registered participants will receive the links for the semester by email.


  Myfanwy Evans (U Potsdam)
  Kathryn Hess Bellwald (EPFL)
  Frank Lutz (TU Berlin)
  Dmitriy Morozov (LBNL)
  Ileana Streinu (Smith College)

Faculty positions in applied topology at University of Aberdeen

The university of Aberdeen is currently advertising two positions at the level of Lecturer/Senior Lecturer. There seems to be a strong interest in our school in hiring in applied topology. I would therefore encourage those who are interested in this opportunity to apply for the position. The department is small, but very friendly and is particularly strong in algebraic topology and representation theory. Two in our topology group, that is Mark Grant and myself, are very active in applied topology. Anybody who is interested is welcome to contact me for an informal enquiry at
You can access the formal adverts at
or The deadline is 26 April 2021.
The advert text is appended below
Best wishes, Ran


The School of Natural and Computing Sciences is looking to appoint two full-time staff at Lecturer or Senior Lecturer level in Mathematics with research expertise in an area of pure mathematics that supports or complements the existing strengths in topology, algebra and applied topology. 

Candidates whose work is applicable to the wider University priority area of ‘Data & AI’ are especially welcome, as are those open to exploring opportunities for interdisciplinary collaboration.

Successful candidates will also be expected to teach a broad range of mathematics lectures, problem classes and tutorials, and undertake administrative duties as necessary.

Applications are invited from candidates who can demonstrate an excellent research profile, as evidenced by publications in leading journals. Candidates must also be able to demonstrate their potential for sustaining a research programme at the University of Aberdeen and gaining external research funding.

Candidates should have a PhD and demonstrable research experience in Mathematics or a related discipline relevant to the role.

For a Senior Lecturer position, candidates should demonstrate a track record of successful grant applications, research student supervision and undergraduate/taught postgraduate teaching

Salary will be at the appropriate point on the Grade 7 salary scale (Lecturer) (£41,526 – £49,552 per annum) or Grade 8 salary scale (Senior Lecturer) (£52,559 – £59,135 per annum). The placement on the scale is negotiable according to qualifications and experience.

This role is based in the UK and as such the successful candidate will be required to live and work in the UK.

Any appointment will be made subject to satisfactory references, and in the case of Lecturers, a 3-year probation period

For further information on various staff benefits and policies please visit 

Should you require a visa to undertake employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship under the requirements of the Skilled Worker visa.  At the time an offer of appointment is made, you will be asked to demonstrate that you fulfil the criteria in respect of qualification and competency in English. For research and academic posts, we will consider eligibility under the Global Talent visa. Please do not hesitate to contact Heather Clark, HR Adviser (e-mail: for further information. 

Applications should include a curriculum vitae, research and teaching statements, and a cover letter of no more than two sides of A4, outlining your reasons for making an application.

Online application forms are available at

The closing date for receipt of applications is 26 April 2021

Should you wish to make an informal enquiry please contact:

Professor Ben Martin, Head of Mathematics

Please do not send application forms or CVs to Professor Martin.

Please quote reference number NCS172A on all correspondence.

The University pursues a policy of equal opportunities in the appointment and promotion of staff.

Postdoc position – KTH and dBrain

The TDA group and dBrain digital futures project at KTH in Stockholm invites applications for a postdoctoral position.

For the details and how to apply.

This is a  two-year position  open to all candidates who obtained (or planned to be awarded before the commencement of the position) within the last three years in mathematics, applied mathematics, or a closely related area.   The candidate will become part of the TDA group and Digital Futures Center which provides  an exciting opportunity for interdisciplinary interactions with neuroscientists. dBrain  is an interdisciplinary initiative to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neuronal networks at multiple scales to identify causal links among disease biomarkers and disease symptoms.  The candidate will become part of a group of least 5 postdoctoral fellows at dBrain.

Application deadline is 9th of April.

For further information, please feel free to contact

Wojciech Chacholski:
Martina Scolamiero:

MSRI Online Workshop – Topological Insights in Neuroscience (new dates)

A virtual Hot Topics workshop on Topological Insights in Neuroscience will be hosted by MSRI, May 4 – 7 and 10-11, 2021.  The talks in this workshop will present a wide array of current applications of topology in neuroscience, including classification and synthesis of neuron morphologies, analysis of synaptic plasticity, algebraic analysis of the neural code, topological analysis of neural networks and their dynamics, topological decoding of neural activity, diagnosis of traumatic brain injuries, and topological biomarkers for psychiatric disease. Some of the talks will be devoted to promising new directions in algebraic topology that have been inspired by neuroscience.
Speakers include: 
• Ann Blevins (University of Pennsylvania) • Benjamin Dunn (NTNU)
• Daniela Egas Santander ( EPFL)
• Tim Gentner (Univ. California, San Diego) • Vladimir Itskov (Pennsylvania State University)
• Lida Kanari (EPFL)
• Matilde Marcolli (California Institute of Technology)
• Ezra Miller (Duke University)
• Konstantin Mischaikow (Rutgers University)
• Alice Patania (Indiana University)
• Jose Perea (Michigan State University) • Xaq Pitkow (Rice University) • Manish Saggar (Stanford University School of Medicine)
• Martina Scolamiero (Royal Institute of Technology (KTH))
• Tatyana Sharpee (The Salk Institute for Biological Studies)
• Katharine Turner (Australian National University)
• Bei Wang (University of Utah)
• Yusu Wang (Univ. California, San Diego)
(NB: The dates of the workshop have changed somewhat from the first announcement, to enable us to schedule shorter days, in hopes of reducing Zoom fatigue and enabling participants to attend live from across a wider range ot time zones.)
Registration is now open, on the workshop webpage.  This workshop will be held online, in Pacific Standard Time.  The Zoom link is provided to those who register for the workshop. 
If you would like to give a contributed talk, please apply using this form by April 1.

Workshop TDA – Theory and Applications, 2nd announcement

Second Announcement:

Workshop Topological Data Analysis – Theory and Applications

School of Mathematical and Statistical Sciences
Western University

May 1-3, 2021

The following mathematical scientists have agreed to speak:

Henry Adams (Colorado State)
Gunnar Carlsson (Stanford/Ayasdi)
Mark Daley (Western University)
Maia Fraser (Univ of Ottawa)
Robert Ghrist (Univ of Pennsylvania)
John Healy (Tutte Institute)
Michael Lesnick (SUNY/Albany)
Facundo Memoli (OSU)
Amit Patel (Colorado State)
Jose Perea (Michigan State)
Emilie Purvine (Pacific Northwest National Lab)
Luis Scoccola (Michigan State)

There will be 4 lectures per day, for each of the three days of the meeting. Precise dates, times, titles and abstracts have now been posted on the meeting website:

This meeting will be a zoom event.

There is a registration process for participants: send an email to indicating that you want to participate, so that your name can be added to a list of zoom invitees.

For further information, please contact Rick Jardine:

This meeting is supported by the Tutte Institute for Mathematics and Computing, and by Western University.

Postdoc in Applied Topology at Aberdeen

The Institute of Mathematics in Aberdeen is advertising a 12 months postdoctoral position funded by the Scottish Chief Scientist Office. This is an exciting opportunity to join a successful multidisciplinary research group and drive forward a unique and ground-breaking clinical project in Fast-Field Cycling and 3T MRI. An enthusiastic individual is sought for this Chief Scientist Office funded project which aims to characterise and quantify FFC-MRI changes in stroke patients by means of topological data analysis and machine learning.
Applicants should have a PhD in applied and computational topology, with significant skill in computing and data analysis. Experience in TDA assisted image analysis is desirable.

The institute of Mathematics at the University of Aberdeen boasts an active group in applied and computational topology lead by Prof. Ran Levi. Research within the group is geared specifically but not exclusively towards applications of topology to neuroscience. Following on from the first human MRI scanner which was developed on the same site, the University of Aberdeen MR Physics team have constructed two functioning first-ever whole-body Fast Field-Cycling scanners. Fast Field-Cycling MRI is a novel type of scanning which uncovers unique information about tissues which is invisible to traditional MRI scanners. The successful post-holder will work in collaboration with a research team comprising of experts in clinical research, MRI and computer science. The aim will be to maximise data acquisition in a further stroke cohort, and contribute to developing methods of data extraction and analysis by methodology of topological data analysis and machine learning algorithms, which will be relevant to pursuing future clinical application of this exciting new technology. 

The post is funded for 12 months. Start date will be 1st September 2021, or slightly later, subject to agreement with the successful candidate.
The position is intended for a person holding a PhD in applied and computational topology or computer science with a strong interest in studying and applying theoretical and computational tools of algebraic topology to neuroscience, and medical research. Experience in high level computations and/or applied algebraic topology would be an advantage. Knowledge of neuroscience is not required

The position is currently advertised is open for applications now
Application deadline is 4 April 2021.
informal inquiries are very welcome. Please email

Postdoc position in TDA and Visualization, University of Utah

We are looking for one postdoc to join the Topological Data Analysis
and Visualization Lab (head by Dr. Bei Wang) at the University of


The Scientific Computing and Imaging (SCI) Institute at the University
of Utah invites applications for one post-doctoral researcher for
interdisciplinary work spanning scientific data visualization and
topological data analysis. The successful candidate will perform a
systematic study of topology-preserving data sketching techniques to
improve visual exploration and understanding of large scientific data.
The postdoc will work closely with SCI Institute researchers and
external collaborators to integrate research into software
applications and apply this software to compelling problems in
scientific applications. The postdoc will benefit from the
interdisciplinary nature of the research that interfaces data
visualization, topological data analysis, and domain science such as
computational fluid dynamics and material science.

Start Date:

As soon as possible, preferably before September 1, 2021.


1) Design, analysis, and application of data sketching techniques.
Focus areas: data sketching (statistical, geometric sketches, graph,
and matrix sketching), data visualization, topological data analysis,
algorithms in machine learning, and data mining.
2) Implementation and evaluation of these methodologies with
open-source software compatible with platforms such as ParaView and
3) Scientific interactions between Utah and other collaborators (at
the University of Utah and national labs).
For more information regarding the project, see


The SCI Institute is seeking a highly talented and committed
individual with a demonstrated ability to work well with minimal
supervision in a multi-disciplinary research environment. Backgrounds
in computer science, data science, applied mathematics, physics, and
computational sciences will be considered. Individuals comfortable
with data visualization, algorithms (in particular, data sketching and
compression), topological data analysis, computational topology,
computational geometry, data mining, and machine learning preferred.
The candidate is expected to be self-motivated and has good
organizational, communication, and teamwork skills.

Apply here:

Required application documents:
– Resume
– Research statement
– List of two references

Please contact Dr. Bei Wang for further information and send
applications directly to ( in addition to
submitting them to the official University of Utah HR site.

PhD position in TDA at KTH, Stockholm, Sweden

The Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden has now opened a PhD position in Topological Data Analysis.

This position is financed by the Swedish Research Council through the project “Stable and discriminative topological invariants for data analysis”.

More information and a link to the application can be found here:

The deadline for the application is April 9.

Please forward this information to possibly interested candidates and contact me for any question at:

Two postdocs at EPFL

The algebraic topology group of the Ecole Polytechnique Fédérale de Lausanne (EPFL) invites applications for two full-time postdoctoral positions in algebraic topology, both pure and applied.

These two-year positions have a starting date of 1 September 2021 and are open to all candidates with a PhD from no earlier than 2017 who have shown promise of research excellence in pure or applied topology.

In addition to research, duties of the future postdoc will include teaching within the framework of the Mathematics Section of the EPFL.

EPFL salaries are highly competitive.  The topology group has considerable travel money available for postdocs, as well as a generous budget for inviting guests throughout the year.

Applications, including curriculum vitae, publication list, research plan, and three reference letters, must be submitted by April 1 via the on-line application form.

For more information, please contact Kathryn Hess or Jérôme Scherer.

Join us in making TDA tutorials!

Dear Colleagues,

AATRN and WinCompTop are looking for participants to create ten-minute YouTube videos on subjects related to applied topology. We will meet every Wednesday at 11am EST during the month of March. Our event is also a great way to meet new mathematicians! We particularly encourage graduate students to participate. Please see our webpage and fill out our interest form for more information. 

Best, the organizers:

Henry Adams
Hana Dal Poz Kouřimská
Teresa Heiss
Sarah Percival
Lori Ziegelmeier

With thanks to AATRN ( and WinCompTop (

AATRN YouTube page: