TDA Postdoc at Oxford

We invite applications for a Postdoctoral Research Associate in Topological Data Analysis to work with Professors Heather Harrington and Ulrike Tillmann here at the Mathematical Institute, University of Oxford. The position is fixed-term for 30 months (2.5 years), and the successful candidate will become a member of the Centre for Topological Data Analysis at Oxford.

The postholder will be responsible for conducting research in applied topology, including topological data analysis, as well as techniques within computational topology aimed at bridging levels of organisation within molecular biology. You will be expected to contribute ideas for new research projects, write up the results of your research for publication, and provide guidance to junior members of the research group including project students, PhD students, and/or project volunteers.

Applicants will be expected to have, or be close to completing, a PhD in computational mathematics, topology or applied algebra. You will possess sufficient specialist knowledge to work within the research interests of the Centre for Topological Data Analysis, alongside the ability to manage your own research and administrative activities. Previous experience of computational mathematics and/or computer programming is desirable.

Applicants will be selected for interview based on their ability to satisfy the selection criteria as outlined in the job description document below. You will be required to upload a letter setting out how you meet the selection criteria, a curriculum vitae including full list of publications, a statement of research interests and the contact details of two referees as part of your online application (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date).

Only applications received before 12.00 noon on Wednesday 17 June 2020 can be considered. Interviews are anticipated to take place week commencing Monday 29 June 2020.

2 TDA Postdocs at EPFL

The Laboratory for Topology and Neuroscience (EPFL) invites applications for two postdoctoral positions in topological data analysis and machine learning affiliated with the project “Topological suite for deep learning: enhanced model reliability, stability and performance”, financed by Innosuisse (Swiss Innovation Agency) and carried out in collaboration with the Reconfigurable and Embedded Digital Systems lab (HEIG-VD) and L2F, an EPFL start-up founded in 2017 to develop innovative machine learning pipelines integrating notions from fundamental mathematics, in particular algebraic topology.

The aim of this project is to discover and develop new topological tools to unbox artificial intelligence and to enhance the robustness, performance, and reliability of deep learning models.

The postdocs selected will be members of the Laboratory for Topology and Neuroscience and collaborate with L2F and REDS.

Candidates should hold a PhD from no earlier than 2016 in mathematics, physics, or computer science, have some familiarity with topological data analysis, and be proficient Python coders. 
Please send your cover letter, CV, and publication list to Kathryn Hess at, to whom you should arrange for three letters of reference to be sent as well.

Starting date: 1 October 2020  or as soon as possible thereafter
Duration: 24 months
Application deadline: 30 May 2020

TDA Professorship in Osnabrück

The School of Mathematics/Computer Science of Osnabrück University invites
applications for the following position:

Professor of Mathematical Methods of Data Analysis (W2)

One of the mathematical methods mentioned explicitly is “Algorithmic topology”.
The application deadline is May 31, 2020. For more information consider:

Postdoc TDA at Nanyang Technological University in Singapore

Postdoc Position on Topological data analysis (TDA) at Nanyang Technological University, Singapore.

A postdoc position is available at the School of Physics and Mathematics, Nanyang Technological University (NTU) in Singapore.

The annual salary will be about 55000-70000 SGD/year (dependent on previous qualifications and experience) with an additional performance bonus of up to 3 months (Income tax rate is ~4%).  The position will start at about Aug 2020. It will be 2 years and can be extended to 3 years. 

The research areas of the candidate should be on applied topology, computational topology, computational geometry, and machine learning. The ideal applicant should have good training on computation, algorithm design and modeling. Previous experience on biomolecular modeling and biomolecular data analysis is preferred but not necessary.

For those interested, please send CV, research statement, and contact information for three references to Prof. Kelin Xia at

TDA Postdoc, University of Western Ontario

Postdoctoral position at the University of Western Ontario.

The Department of Mathematics at the University of Western Ontario has a 
postdoctoral position available in fields related to Topological Data 
Analysis, under the supervision of J.F. Jardine.

This position has a two-year term with a flexible start date of July 1, 
2020. The salary will be $51,000 CAD per year, plus a tax-free research 
fund of $1,500 CAD per year. The position will involve teaching two 
half-courses per year, in addition to research. Candidates should have 
completed a Ph.D. in July 2017 or later.

Application should be made through The position ID is 
UWO-PDFTDA [#15179].

All applications should include a cover letter, a curriculum vitae 
(including a list of publications), research statement, teaching 
statement, and at least three letters of reference. One letter of 
reference should comment on the teaching abilities of the applicant.

Information about the Department can be found at

E-mail inquiries may be sent to Screening of 
applications will begin on May 18, 2020, and will continue until the 
position is filled.

The University of Western Ontario is committed to employment equity and 
welcomes applications from all qualified women and men, including 
visible minorities, Aboriginal persons, persons with disabilities, and 
LGBTQ persons.

Topology in Distinct Flavors; Warwick (UK) 18-19 June 2020

We would like to invite you to the TopFlavours conference, a two-day meeting that will bring together early career researchers in both pure and applied topology. Details are below:
*TopFlavours 2020 (Topology in Distinct Flavours)*

University of Warwick, 18-19 June 2020.

*Invited speakers*:
Irakli Patchkoria (Aberdeen)
Bernadette Stolz (Oxford)

More information can be found on the website

Registration is now open. Accommodation will be offered for a limited number of funded places for the nights of 17th and 18th of June. The deadline for applying for accommodation is the 10th of April. General registration will close on the 1st of May.

All participants are encouraged to deliver a 25 minute contributed talk. This event is ideal for doctoral students who want to give their first talk. 

Best wishes, 

Igor Sikora 
Álvaro Torras Casas

Georgia Topology Conference

The topology group at the University of Georgia is organizing a conference on topological persistence and related topics in applied topology in Athens, Georgia, from June 1-5, 2020. This will be an installment in a long-running (since 1961, see here for webpages from previous years) annual topology conference series, which is maybe best known for the large general conferences that are held in years congruent to 1 mod 8; however in years such as this one the conference is smaller and focuses on a more specialized theme, typically with about 16 one-hour talks by a mix of junior and senior researchers and plenty of time built into the schedule for informal interaction.  

The webpage for the conference is now up, at  The conference will be supported by NSF. In particular there is funding available for junior participants.

TDA Postdoc, Cornell

The Greater Data Science Cooperative Institute (GDSC), jointly established by Cornell University (CU) and the University of Rochester (UR) as part of the NSF funded HDR TRIPODS program, seeks exceptional candidates for postdoctoral research positions at Cornell (note: UR has a simultaneous and coordinated, but separate search). Appointments are renewable up to a total period of three years. The target start date is August 1, 2020, but positions may be filled immediately.

GDSC is based on two founding tenets: that enduring advances in data science require combining techniques and viewpoints across electrical engineering, mathematics, statistics, and theoretical computer science; and, that data-science research must be grounded in an application domain. Cross-disciplinary research directions include: (i) Topological Data Analysis; (ii) Data Representation; (iii) Network & Graph Learning; (iv) Decisions, Control & Dynamic Learning; and, (v) Diverse & Complex Modalities. GDSC specifically aims to consider applications in medicine and healthcare, a major strength of CU and UR, and one for which advances in data science can have a direct, positive impact on society. Applicants should have completed their PhD in a discipline listed above (or related) by the time of their appointment. Some background or interest in biomedicine and/or healthcare would be an advantage.

Cornell appointed postdocs will be mentored by at least two GDSC members, including one from the Cornell GDSC leadership team: David S. Matteson, Aaron Wagner, Qing Zhao, David Bindel and Gennady Samorodnitsky. The Rochester GDSC leadership team includes Mujdat Cetin, Daniel Gildea, Tong Tong Wu, Alex Iosevich and Daniel Stefankovic; and GDSC includes 17 additional founding senior personnel across CU and UR (see: for more information).

Any questions about the Cornell positions can be sent to David S. Matteson (; and please contact Mujdat Cetin ( for questions about the UR positions. All applicants must submit a cover letter, a curriculum vitae including a list of publications, research and teaching statements, and arrange to have two reference letters submitted electronically. Up to two relevant research publications may also be submitted. Application materials must be submitted at:

Evaluation of applicants will begin February 15, 2020 and continue until the position is filled.

Differential Geometry in Computer Vision and Machine Learning

We are organizing the 5’th International workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML) in conjunction with CVPR 2020 to be held in Washington, Seattle in June 2020. We invite contributions for full length papers from you and your colleagues on the broad topic of topological methods and differential geometric approaches for computer vision, machine learning, and medical imaging. 

We are planning a full day workshop comprising both oral and poster presentations. You can find more information at along with the call for papers at

The workshop will be held on one of the days from June 16’th to 18’th June. The paper should be 8 pages in length excluding references and the submission date (tentatively) is March 8’th 2020. We will send out further emails when CVPR informs us the final date of the workshop.

The workshop will feature keynote lectures by the following distinguished speakers:

Dr. Tamal Dey, Ohio State University, USA 
Dr. Guido Montufar, University of California Los Angeles, USA
Dr. Elizabeth Munch, Michigan State University, USA
Dr. Lek-Heng Lim, University of Chicago, USA
Dr. Pavan Turaga, Arizona State University, USA

We aim to foster interactions between engineers, mathematicians, statisticians, and computer scientists but also domain experts in the field of computer vision, biology, and medicine. 

Please email me if you have any questions. 
Thank you,
Shantanu Joshi

On behalf of the organizing committee, DiffCVML 2020

Shantanu H. Joshi, University of California Los Angeles, USA
Pavan Turaga, Arizona State University, USA
Vittorio Murino, IIT Genoa, and the University of Verona, Verona, Italy
Baba Vemuri, University of Florida, USA
Anuj Srivastava, Florida State University, USA

Air Force Research Lab: Summer of TDA Internship

This summer in Dayton OH, our group at AFRL is hosting a summer of TDA 10 week internship program. During these 10 weeks interns will work on DOD relevant data sets exploring the use of TDA to develop explainable artificial intelligence systems as well as user interface visualization dashbroads.  This internship is with the Air Force Research Lab 711th Human Performance Wing, led by Dr. Ryan Kramer and is administered through KBR Inc., a DOD contracting and support company.  The KBR link to the job description and link to apply is below.