This year, I’ll be teaching a 2-semester graduate topics course on multiparameter persistence in the math department at UAlbany. If there is interest, I’d be happy to have students from outside of Albany participate remotely, via Zoom.
This is primarily a synchronous course, but asynchronous participation is possible.
This semester, class will be on Mondays and Wednesdays, 11:40 a.m. -1:00 p.m. Eastern time, from August 22 to December 5. (Next semester’s schedule has not been decided.)
Prior knowledge of TDA is not required. See the course website for prerequisites and additional details.
If you might be interested in participating, or if you have questions, please email me at firstname.lastname@example.org.
We invite members of our community to contribute short videos (5-20 minutes) to the AATRN YouTube channel https://www.youtube.com/c/AppliedAlgebraicTopologyNetwork.
In particular, over Summer and Fall 2022, we are soliciting contributions with the theme “This is my research”. The idea behind this theme is that you create a short video introducing your main topic of research. Think of this as an elevator pitch, in which you want to describe the main motivations for your research in a short period of time. Please submit your video by October 20, 2022 to have it appear in the first “This is my research” YouTube playlist. Or submit it already before then to make your video appear on Youtube even earlier.
With this campaign, our goal is to advertise the diversity of research topics represented by our community. We hope that your video can help attract more attention to the type of problems you work on. We’d encourage you to link to this video from your personal webpage, and vice-versa. We hope that your video helps introduce you to more members of our community. While this is especially important for early career researchers, we encourage researchers at all stages of their careers to participate!
In addition to the “This is my research” contributed video campaign, we are also interested in sharing any videos you’d like to make on any topic related to applied topology, broadly interpreted. You could submit a tutorial video explaining a topic in applied topology to newcomers. Or, you could submit an expository video describing the work of others (be sure to acknowledge the work of others appropriately, including figures; see https://www.aatrn.net/ethics). Or, you could submit a short video describing your latest research project. Or, a video related to outreach and teaching. Etc. We invite you to come up with new ideas! Videos in any language are welcome.
For more details, including some frequently asked questions, please see the “Video Contributions” section at the bottom of the webpage https://www.aatrn.net/participate. Linked from there you will also find the google form with instructions for how to submit your video. After checking out the webpage and the google form, if you have any questions, please email us at email@example.com!
Best, the AATRN directors
Date: September 15-16, 2022
Location: Department of Mathematics, University of Rome “Tor Vergata”, Italy
Katherine Benjamin, Ryan Budney, Wojtek Chacholski, Pawel Dłotko, Barbara Giunti, Kelly Maggs, Anibal Medina, Bastian Rieck.
The conference will be held in person. Registration is open and free via the webform
The workshop will include a poster session. Candidates for the poster session are encouraged to send their titles and abstracts, 500 words maximum, to the organizers via email to firstname.lastname@example.org by August 15th, specifying full name, email address, and affiliation.
See you in Rome!
Paolo Salvatore and Sara Scaramuccia
UNYTS 2022: 3rd Upstate New York Topology Seminar
Syracuse University, October 22, 2022
This is a one-day regional in-person topology conference focussing on algebraic and low-dimensional topology. There will be three plenary talks, given by Francesco Lin, Allison N. Miller, and Martina Rovelli, as well as parallel sessions. For these, we have an open call for speakers, with preference given to early-career participants (students, postdocs, and tenure-track professors) and to regional speakers (from the broad region of New York State and nearby). Apply to speak when you register (submit a title and short abstract there).
We have just received news of funding from the NSF, mostly for accommodation, with priority given to early career participants.
Website and Registration:
Important: To have an idea of the potential number of attendees, we would appreciate it if you could register by September 1. The deadline for requesting to speak in the parallel sessions is September 1.
Contact information: Claudia Miller and Stephan Wehrli
We are looking for a Postdoctoral Research Assistant based at Queen Mary University London, working with Professor Ginestra Bianconi (Queen Mary) and Dr Ruben Sanchez-Garcia (University of Southampton) on the project ‘Using network science to quantify the geometry of “missingness”‘.
This is an exciting new project funded by Alan Turing Institute (https://www.turing.ac.uk/) and Roche (https://www.turing.ac.uk/research/research-projects/alan-turing-institute-roche-strategic-partnership) to generate insights into disease, patient, and outcome heterogeneity using advanced analytics.
Our project combines methods of network science and applied topology with information theory to develop a data driven mathematical and computational platform to extract and analyse the geometrical organisation of missing data in complex, heterogeneous datasets.
We are looking for candidates with, or about to obtain, a PhD degree in mathematics, physics, or computer science or an equivalent level of professional qualifications and experience. They should have research experience in a field closely related to one or more of the following subjects: network science, data science, applied topology. We expect candidates to have some coding experience (e.g. python, R, MATLAB), preferably in handling large, complex data sets, and an interest in biomedical data.
The deadline is very soon (August, 1st) with interviews shortly after. For more information, please see https://www.qmul.ac.uk/jobs/vacancies/items/7251.html
Doctoral student position in data-driven geometric methods for robotics at KTH Royal Institute of Technology, Stockholm, Sweden
Application Deadline 8th August 2022
In this project, we will develop simplicial complex-based robot configuration space models for embodiment-aware robot motion planning and learning from demonstration. We will develop extremely large scale and detailed data-driven simplicial complex-based models of robot arm configuration spaces that represent the complex geometry that they exhibit. Based upon these representations we will develop algorithms for efficient updates, optimal motion planning and probabilistic reasoning for robotic manipulation. The project will be highly interdisciplinary as it lies at the intersection of Computational Geometry, Motion Planning, Bayesian Machine Learning and Optimal Control.
The doctoral student will be supervised by Associate Professor Florian Pokorny
The position is at the division of Robotics, Perception and Learning (RPL) at KTH.
For more information feel free to reach out to Associate Professor Florian Pokorny, email@example.com
For more information on our research, please visit
and you can apply here:
Paweł Dłotko writes:
I would like to invite you (and your students) to join us at the Dioscuri Centre in Topological Data Analysis located in the Institute of Mathematics, Polish Academy of Sciences.
Together with me, we have 3 postdoctoral researchers, 4 PhD students, a group of interns and a wide group of collaborators in various disciplines of science and the industry. Our task is to bring mathematics, especially topology, to the scientific and industrial practice. You can find more about us on our webpage:https://dioscuri-tda.org/
As well as our Facebook and Twitter page.
We are happy to answer any questions you may have.Note the short application deadline!!
Please find more details here: https://www.impan.pl/wydarzenia/konkursy/2022/dioscuripostdocannouncemnet2022-sig.pdf
Postdoc Position in TDA for Personalized Medicine, INRIA (Saclay) and CRESS (Paris) , France
The PreMediT project is offering a 12-months post-doctoral position, renewable once.
We are looking for a highly motivated candidate with an expertise in statistics, machine learning, or applied topology, with a strong interest for applications in health sciences. The project aims at developing new mathematical and computational tools for personalized medicine, with a particular focus on topological methods.
More details at https://geometrica.saclay.inria.fr/data/Steve.Oudot/postdoc_position.pdf
Education level: Doctoral degree in mathematics, statistics or computer science
Location: Inria (Saclay) and Hôtel-Dieu (Paris)
Starting date: Sept. 2022 – Jan. 2023
Duration: 12 months, renewable once
Salary: around 2 100 euros net /month, health insurance included
Contact: firstname.lastname@example.org, email@example.com
How to apply:
send an e-mail to both addresses above, with the following attachments:
- a cover letter, with a brief account of your research interests and motivation for applying to the position
- a resume and a complete list of publications
- the names and email addresses of at least 2 references.
It is a position affiliated with WASP graduate school (https://wasp-sweden.org/graduate-school/).
It is a very attractive position with additional finances for travel etc. and future possibilities with even more attractive postdoc opportunities open only to WASP students.
It also comes with additional responsibilities as WASP students are required to follow an extended curriculum including, in addition to standard math department requirements, courses in machine learning etc.
The program is highly competitive and we look for gifted and motivated individuals.
I would greatly appreciate if you could inform any student that might be interested in this opportunity to contact me at (firstname.lastname@example.org).
Announcement of the 10th Annual Minisymposium on Computational Topology
to take place during CG Week 2022
(June 7-10) in Berlin, Germany (with remote option)
This workshop is intended to bring together researchers working in applied, computational, and quantitative topology as well as topological combinatorics, with interests in the fields of visual computing and machine learning to foster exchange of ideas.
The workshop will span two afternoons (Central Europe Time):
– on June 7 from 3:30pm to 6:00pm;
– on June 8 from 3:30pm to 5:00pm.
Four presentations are programmed for the first half day and two for the second one.
Details and registration, for either in-person or remote participation, are available at the conference website link
Invited speakers are:
Giovanni Bocchi, Università degli Studi di Milano (Italy)
Stefania Ebli, École Polytechnique Fédérale de Lausanne (Switzerland)
Mustafa Hajij, Santa Clara University (USA)
Vitaliy Kurlin, University of Liverpool (UK)
Kathryn Lindsey, Boston College (USA)
Yusu Wang, University of California (USA)
We look forward to seeing you in Berlin!
The organizing committee
Claudia Landi, Daniela Giorgi, Ulderico Fugacci, and Sara Scaramuccia