Dr. Veronica Ciocanel and Dr. Wasiur KhudaBuksh are organising a virtual mini-symposium on “Probabilistic and Topological Methods for Biological Data” as part of the SIAM conference on Mathematics of Data Science 2020. More information below.
Time: June 11, 2020 1-3pm EST (topology session) and 3-5pm EST (probability session)
Registration: Registration is free (and would take less than 30 seconds), but limited to 300 people. Link here:
Speakers in the topology session: 1. Francis Motta, Florida Atlantic University 2. Marilyn Vazquez, the Ohio State University 3. Veronica Ciocanel, the Ohio State University 4. Manuchehr Aminian, Colorado State University
Speakers in the probability session: 1. Wasiur KhudaBukhsh, the Ohio State University 2. Arindam Fadikar, Argonne National Lab 3. Pragya Sur, Harvard University 4. Yuekai Sun, University of Michigan
The talks will cover many different application areas ranging from microscopic cell biology to macroscopic epidemiology using tools from topology and probability theory.
The Dioscuri Center is a new research center for Topological Data Analysis, to start in July 2020 and led by Dr Pawel Dlotko.
The Dioscuri Center is seeking a postdoctoral researcher for a fixed-term 24-month position to work on developing mathematically rigorous geometry and topology based shape descriptors to solve important applied problems.
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.
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 firstname.lastname@example.org, 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
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 email@example.com.
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 mathjobs.org. 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.
E-mail inquiries may be sent to firstname.lastname@example.org. 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.
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)*
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.
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.